Published on 27.03.09 in Vol 11, No 1 (2009): Jan-Mar
Works citing "Infodemiology and Infoveillance: Framework for an Emerging Set of Public Health Informatics Methods to Analyze Search, Communication and Publication Behavior on the Internet"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.1157):
(note that this is only a small subset of citations)
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Althouse BM, Ng YY, Cummings DAT, Crockett RJK. Prediction of Dengue Incidence Using Search Query Surveillance. PLoS Neglected Tropical Diseases 2011;5(8):e1258
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Konovalov S, Scotch M, Post L, Brandt C. Biomedical Informatics Techniques for Processing and Analyzing Web Blogs of Military Service Members. Journal of Medical Internet Research 2010;12(4):e45
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Grajales III FJ, Sheps S, Ho K, Novak-Lauscher H, Eysenbach G. Social Media: A Review and Tutorial of Applications in Medicine and Health Care. Journal of Medical Internet Research 2014;16(2):e13
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Odlum M, Yoon S, Broadwell P, Brewer R, Kuang D. How Twitter Can Support the HIV/AIDS Response to Achieve the 2030 Eradication Goal: In-Depth Thematic Analysis of World AIDS Day Tweets. JMIR Public Health and Surveillance 2018;4(4):e10262
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Weitzman ER, Magane KM, Chen P, Amiri H, Naimi TS, Wisk LE. Online Searching and Social Media to Detect Alcohol Use Risk at Population Scale. American Journal of Preventive Medicine 2020;58(1):79
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Logghe HJ, Selby LV, Boeck MA, Stamp NL, Chuen J, Jones C. The academic tweet: Twitter as a tool to advance academic surgery. Journal of Surgical Research 2018;226:viii
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Kolliakou A, Ball M, Derczynski L, Chandran D, Gkotsis G, Deluca P, Jackson R, Shetty H, Stewart R. Novel psychoactive substances: An investigation of temporal trends in social media and electronic health records. European Psychiatry 2016;38:15
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Delir Haghighi P, Kang Y, Buchbinder R, Burstein F, Whittle S. Investigating Subjective Experience and the Influence of Weather Among Individuals With Fibromyalgia: A Content Analysis of Twitter. JMIR Public Health and Surveillance 2017;3(1):e4
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Brigo F, Igwe SC, Ausserer H, Nardone R, Tezzon F, Bongiovanni LG, Trinka E. Why do people Google epilepsy?. Epilepsy & Behavior 2014;31:67
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de Vries H, Logister M, Krekels G, Klaasse F, Servranckx V, van Osch L. Internet based Computer Tailored Feedback on Sunscreen Use. Journal of Medical Internet Research 2012;14(2):e48
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Reuter K, Zhu Y, Angyan P, Le N, Merchant AA, Zimmer M. Public Concern About Monitoring Twitter Users and Their Conversations to Recruit for Clinical Trials: Survey Study. Journal of Medical Internet Research 2019;21(10):e15455
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Fisher J, Clayton M. Who Gives a Tweet: Assessing Patients’ Interest in the Use of Social Media for Health Care. Worldviews on Evidence-Based Nursing 2012;9(2):100
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. What Could Be Future Scenarios?—Lessons from the History of Public Health Surveillance for the Future. AIMS Public Health 2015;2(1):27
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Park HW, Park S, Chong M. Conversations and Medical News Frames on Twitter: Infodemiological Study on COVID-19 in South Korea. Journal of Medical Internet Research 2020;22(5):e18897
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Hernández-García I, Giménez-Júlvez T. Assessment of Health Information About COVID-19 Prevention on the Internet: Infodemiological Study. JMIR Public Health and Surveillance 2020;6(2):e18717
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Bernardo TM, Rajic A, Young I, Robiadek K, Pham MT, Funk JA. Scoping Review on Search Queries and Social Media for Disease Surveillance: A Chronology of Innovation. Journal of Medical Internet Research 2013;15(7):e147
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Roccetti M, Marfia G, Salomoni P, Prandi C, Zagari RM, Gningaye Kengni FL, Bazzoli F, Montagnani M. Attitudes of Crohn’s Disease Patients: Infodemiology Case Study and Sentiment Analysis of Facebook and Twitter Posts. JMIR Public Health and Surveillance 2017;3(3):e51
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. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
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Litchman ML, Wawrzynski SE, Woodruff WS, Arrington JB, Nguyen QC, Gee PM. Continuous Glucose Monitoring in the Real World Using Photosurveillance of #Dexcom on Instagram: Exploratory Mixed Methods Study. JMIR Public Health and Surveillance 2019;5(2):e11024
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Park S, Lee SW, Kwak J, Cha M, Jeong B. Activities on Facebook Reveal the Depressive State of Users. Journal of Medical Internet Research 2013;15(10):e217
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Seo D, Jo M, Sohn CH, Shin S, Lee J, Yu M, Kim WY, Lim KS, Lee S. Cumulative Query Method for Influenza Surveillance Using Search Engine Data. Journal of Medical Internet Research 2014;16(12):e289
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Leider JP, Shah GH, Williams KS, Gupta A, Castrucci BC. Data, Staff, and Money: Leadership Reflections on the Future of Public Health Informatics. Journal of Public Health Management and Practice 2017;23(3):302
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Sharpe JD, Hopkins RS, Cook RL, Striley CW. Evaluating Google, Twitter, and Wikipedia as Tools for Influenza Surveillance Using Bayesian Change Point Analysis: A Comparative Analysis. JMIR Public Health and Surveillance 2016;2(2):e161
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Hernández-García I, Giménez-Júlvez T. Characteristics of YouTube Videos in Spanish on How to Prevent COVID-19. International Journal of Environmental Research and Public Health 2020;17(13):4671
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Chen AT, Zhu S, Conway M. What Online Communities Can Tell Us About Electronic Cigarettes and Hookah Use: A Study Using Text Mining and Visualization Techniques. Journal of Medical Internet Research 2015;17(9):e220
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Sharma P, Kaur PD. Effectiveness of web-based social sensing in health information dissemination—A review. Telematics and Informatics 2017;34(1):194
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. The association of suicide-related Twitter use with suicidal behaviour: A cross-sectional study of young internet users in Japan. Journal of Affective Disorders 2015;170:155
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Haines-Delmont A, Chahal G, Bruen AJ, Wall A, Khan CT, Sadashiv R, Fearnley D. Testing Suicide Risk Prediction Algorithms Using Phone Measurements With Patients in Acute Mental Health Settings: Feasibility Study. JMIR mHealth and uHealth 2020;8(6):e15901
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Borodovsky JT, Marsch LA, Budney AJ. Studying Cannabis Use Behaviors With Facebook and Web Surveys: Methods and Insights. JMIR Public Health and Surveillance 2018;4(2):e48
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Horvitz E, White RW. Making Connections. Circulation: Cardiovascular Quality and Outcomes 2017;10(3)
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van Velsen L, van Gemert-Pijnen JE, Beaujean DJ, Wentzel J, van Steenbergen JE. Should Health Organizations Use Web 2.0 Media in Times of an Infectious Disease Crisis? An In-depth Qualitative Study of Citizens’ Information Behavior During an EHEC Outbreak. Journal of Medical Internet Research 2012;14(6):e181
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Williams SA, Terras M, Warwick C. How Twitter Is Studied in the Medical Professions: A Classification of Twitter Papers Indexed in PubMed. Medicine 2.0 2013;2(2):e2
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Mowery D, Smith H, Cheney T, Stoddard G, Coppersmith G, Bryan C, Conway M. Understanding Depressive Symptoms and Psychosocial Stressors on Twitter: A Corpus-Based Study. Journal of Medical Internet Research 2017;19(2):e48
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Musa I, Park H, Munkhdalai L, Ryu K. Global Research on Syndromic Surveillance from 1993 to 2017: Bibliometric Analysis and Visualization. Sustainability 2018;10(10):3414
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. Infodemiology and Infoveillance. American Journal of Preventive Medicine 2011;40(5):S154
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Borchert JS, Wang B, Ramzanali M, Stein AB, Malaiyandi LM, Dineley KE. Adverse Events Due to Insomnia Drugs Reported in a Regulatory Database and Online Patient Reviews: Comparative Study. Journal of Medical Internet Research 2019;21(11):e13371
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Panatto D, Domnich A, Gasparini R, Bonanni P, Icardi G, Amicizia D, Arata L, Bragazzi NL, Signori A, Landa P, Bechini A, Boccalini S. Development and preliminary data on the use of a mobile app specifically designed to increase community awareness of invasive pneumococcal disease and its prevention. Human Vaccines & Immunotherapeutics 2016;12(4):1080
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Birnbaum D, Borycki E, Karras BT, Denham E, Lacroix P. Addressing Public Health informatics patient privacy concerns. Clinical Governance: An International Journal 2015;20(2):91
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Horvitz E, Mulligan D. Data, privacy, and the greater good. Science 2015;349(6245):253
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Primack BA, Carroll MV, Shensa A, Davis W, Levine MD. Sex Differences in Hookah-Related Images Posted on Tumblr: A Content Analysis. Journal of Health Communication 2016;21(3):366
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Taylor J, Pagliari C. Comprehensive scoping review of health research using social media data. BMJ Open 2018;8(12):e022931
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Paguio JA, Yao JS, Dee EC. Silver lining of COVID-19: Heightened global interest in pneumococcal and influenza vaccines, an infodemiology study. Vaccine 2020;38(34):5430
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Menachemi N, Rahurkar S, Rahurkar M. Using Web-Based Search Data to Study the Public’s Reactions to Societal Events: The Case of the Sandy Hook Shooting. JMIR Public Health and Surveillance 2017;3(1):e12
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. Big Data’s Role in Precision Public Health. Frontiers in Public Health 2018;6
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Zepecki A, Guendelman S, DeNero J, Prata N. Using Application Programming Interfaces to Access Google Data for Health Research: Protocol for a Methodological Framework. JMIR Research Protocols 2020;9(7):e16543
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Lind J, Kälvemark Sporrong S, Kaae S, Rantanen J, Genina N. Social aspects in additive manufacturing of pharmaceutical products. Expert Opinion on Drug Delivery 2017;14(8):927
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Melkers J, Hicks D, Rosenblum S, Isett KR, Elliott J. Dental Blogs, Podcasts, and Associated Social Media: Descriptive Mapping and Analysis. Journal of Medical Internet Research 2017;19(7):e269
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. Epidemiologic Research and Web 2.0—the User-driven Web. Epidemiology 2010;21(6):760
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Conway M, O’Connor D. Social media, big data, and mental health: current advances and ethical implications. Current Opinion in Psychology 2016;9:77
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Sooknanan J, Comissiong DMG. Trending on Social Media: Integrating Social Media into Infectious Disease Dynamics. Bulletin of Mathematical Biology 2020;82(7)
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Rajan A, Sharaf R, Brown RS, Sharaiha RZ, Lebwohl B, Mahadev S. Association of Search Query Interest in Gastrointestinal Symptoms With COVID-19 Diagnosis in the United States: Infodemiology Study. JMIR Public Health and Surveillance 2020;6(3):e19354
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. Whiplash Syndrome Reloaded: Digital Echoes of Whiplash Syndrome in the European Internet Search Engine Context. JMIR Public Health and Surveillance 2017;3(1):e15
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Cole-Lewis H, Pugatch J, Sanders A, Varghese A, Posada S, Yun C, Schwarz M, Augustson E. Social Listening: A Content Analysis of E-Cigarette Discussions on Twitter. Journal of Medical Internet Research 2015;17(10):e243
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Loubet P, Guerrisi C, Turbelin C, Blondel B, Launay O, Bardou M, Blanchon T, Bonmarin I, Goffinet F, Ancel P, Colizza V, Hanslik T, Kernéis S. First nationwide web-based surveillance system for influenza-like illness in pregnant women: participation and representativeness of the French G-GrippeNet cohort. BMC Public Health 2016;16(1)
CrossRef -
Khan CT, Woodward SH. Calibrating actigraphy to improve sleep efficiency estimates. Journal of Sleep Research 2018;27(4)
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Zhang N, Campo S, Janz KF, Eckler P, Yang J, Snetselaar LG, Signorini A. Electronic Word of Mouth on Twitter About Physical Activity in the United States: Exploratory Infodemiology Study. Journal of Medical Internet Research 2013;15(11):e261
CrossRef -
Klein GH, Guidi Neto P, Tezza R. Big Data e mídias sociais: monitoramento das redes como ferramenta de gestão. Saúde e Sociedade 2017;26(1):208
CrossRef -
Chan K, Ho S, Lam T. Infodemiology of Alcohol Use in Hong Kong Mentioned on Blogs: Infoveillance Study. Journal of Medical Internet Research 2013;15(9):e192
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Foroughi F, Lam AK, Lim MS, Saremi N, Ahmadvand A. “Googling” for Cancer: An Infodemiological Assessment of Online Search Interests in Australia, Canada, New Zealand, the United Kingdom, and the United States. JMIR Cancer 2016;2(1):e5
CrossRef -
Gianfredi V, Bragazzi NL, Nucci D, Martini M, Rosselli R, Minelli L, Moretti M. Harnessing Big Data for Communicable Tropical and Sub-Tropical Disorders: Implications From a Systematic Review of the Literature. Frontiers in Public Health 2018;6
CrossRef -
Sabus C, Johns B, Schultz N, Gagnon K. Exploration of Content and Reach of Physical Therapy-Related Discussion on Twitter. Physical Therapy 2019;99(8):1048
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Laranjo L, Arguel A, Neves AL, Gallagher AM, Kaplan R, Mortimer N, Mendes GA, Lau AYS. The influence of social networking sites on health behavior change: a systematic review and meta-analysis. Journal of the American Medical Informatics Association 2015;22(1):243
CrossRef -
Braithwaite SR, Giraud-Carrier C, West J, Barnes MD, Hanson CL. Validating Machine Learning Algorithms for Twitter Data Against Established Measures of Suicidality. JMIR Mental Health 2016;3(2):e21
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. Infectious Insecurities: H1N1 and the politics of emerging infectious disease. Health & Place 2012;18(4):695
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Strzelecki A, Azevedo A, Albuquerque A. Correlation between the Spread of COVID-19 and the Interest in Personal Protective Measures in Poland and Portugal. Healthcare 2020;8(3):203
CrossRef -
Lau EH, Zheng J, Tsang TK, Liao Q, Lewis B, Brownstein JS, Sanders S, Wong JY, Mekaru SR, Rivers C, Wu P, Jiang H, Li Y, Yu J, Zhang Q, Chang Z, Liu F, Peng Z, Leung GM, Feng L, Cowling BJ, Yu H. Accuracy of epidemiological inferences based on publicly available information: retrospective comparative analysis of line lists of human cases infected with influenza A(H7N9) in China. BMC Medicine 2014;12(1)
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Wakamiya S, Matsune S, Okubo K, Aramaki E. Causal Relationships Among Pollen Counts, Tweet Numbers, and Patient Numbers for Seasonal Allergic Rhinitis Surveillance: Retrospective Analysis. Journal of Medical Internet Research 2019;21(2):e10450
CrossRef -
. Bioveillance: A Techno-security Infrastructure to Preempt the Dangers of Informationalised Biology. Science as Culture 2020;29(1):153
CrossRef -
Liu DT, Besser G, Leonhard M, Bartosik TJ, Parzefall T, Brkic FF, Mueller CA, Riss D. Seasonal Variations in Public Inquiries into Laryngitis: An Infodemiology Study. Journal of Voice 2022;36(1):98
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Wong PW, Fu K, Yau RS, Ma HH, Law Y, Chang S, Yip PS. Accessing Suicide-Related Information on the Internet: A Retrospective Observational Study of Search Behavior. Journal of Medical Internet Research 2013;15(1):e3
CrossRef -
Tana JC, Kettunen J, Eirola E, Paakkonen H. Diurnal Variations of Depression-Related Health Information Seeking: Case Study in Finland Using Google Trends Data. JMIR Mental Health 2018;5(2):e43
CrossRef -
Anderson JG, Hundt E, Dean M, Keim-Malpass J, Lopez RP. “The Church of Online Support”. Journal of Family Nursing 2017;23(1):34
CrossRef -
Rosenblum S, Isett KR, Melkers J, Funkhouser E, Hicks D, Gilbert GH, Melkers MJ, McEdward D, Buchberg-Trejo M. The association between professional stratification and use of online sources: Evidence from the National Dental Practice-Based Research Network. Journal of Information Science 2021;47(3):373
CrossRef -
Onega T, Kamra D, Alford-Teaster J, Hassanpour S. Monitoring of Technology Adoption Using Web Content Mining of Location Information and Geographic Information Systems: A Case Study of Digital Breast Tomosynthesis. JCO Clinical Cancer Informatics 2018;(2):1
CrossRef -
Liao Q, Yuan J, Dong M, Yang L, Fielding R, Lam WWT. Public Engagement and Government Responsiveness in the Communications About COVID-19 During the Early Epidemic Stage in China: Infodemiology Study on Social Media Data. Journal of Medical Internet Research 2020;22(5):e18796
CrossRef -
Syamsuddin M, Fakhruddin M, Sahetapy-Engel JTM, Soewono E. Causality Analysis of Google Trends and Dengue Incidence in Bandung, Indonesia With Linkage of Digital Data Modeling: Longitudinal Observational Study. Journal of Medical Internet Research 2020;22(7):e17633
CrossRef -
Young I, Gropp K, Pintar K, Waddell L, Marshall B, Thomas K, McEwen S, Rajić A. Experiences and Attitudes Towards Evidence‐Informed Policy‐Making Among Research and Policy Stakeholders in the Canadian Agri‐Food Public Health Sector. Zoonoses and Public Health 2014;61(8):581
CrossRef -
Mavragani A, Ochoa G, Tsagarakis KP. Assessing the Methods, Tools, and Statistical Approaches in Google Trends Research: Systematic Review. Journal of Medical Internet Research 2018;20(11):e270
CrossRef -
Wang H, Chen D, Yu H, Chen Y. Forecasting the Incidence of Dementia and Dementia-Related Outpatient Visits With Google Trends: Evidence From Taiwan. Journal of Medical Internet Research 2015;17(11):e264
CrossRef -
Ferrite S, Friche AADL. Carta ao editor: epidemiologia contemporânea e fonoaudiologia. Revista CEFAC 2015;17(6):1757
CrossRef -
Peiper NC, Gourdet C, Meinhofer A, Reiman A, Reggente N. Medical Decision-Making Processes and Online Behaviors Among Cannabis Dispensary Staff. Substance Abuse: Research and Treatment 2017;11:117822181772551
CrossRef -
Gu H, Chen B, Zhu H, Jiang T, Wang X, Chen L, Jiang Z, Zheng D, Jiang J. Importance of Internet Surveillance in Public Health Emergency Control and Prevention: Evidence From a Digital Epidemiologic Study During Avian Influenza A H7N9 Outbreaks. Journal of Medical Internet Research 2014;16(1):e20
CrossRef -
Iglesia EG, Stone CA, Flaherty MG, Commins SP. Regional and temporal awareness of alpha-gal allergy: An infodemiological analysis using Google Trends. The Journal of Allergy and Clinical Immunology: In Practice 2020;8(5):1725
CrossRef -
Nagel AC, Tsou M, Spitzberg BH, An L, Gawron JM, Gupta DK, Yang J, Han S, Peddecord KM, Lindsay S, Sawyer MH. The Complex Relationship of Realspace Events and Messages in Cyberspace: Case Study of Influenza and Pertussis Using Tweets. Journal of Medical Internet Research 2013;15(10):e237
CrossRef -
Mooney P, Corcoran P, Ciepluch B. The potential for using volunteered geographic information in pervasive health computing applications. Journal of Ambient Intelligence and Humanized Computing 2013;4(6):731
CrossRef -
Liang B, Scammon DL. Incidence of Online Health Information Search: A Useful Proxy for Public Health Risk Perception. Journal of Medical Internet Research 2013;15(6):e114
CrossRef -
Zhang Z, Zheng X, Zeng DD, Leischow SJ. Tracking Dabbing Using Search Query Surveillance: A Case Study in the United States. Journal of Medical Internet Research 2016;18(9):e252
CrossRef -
Yom-Tov E, Gabrilovich E. Postmarket Drug Surveillance Without Trial Costs: Discovery of Adverse Drug Reactions Through Large-Scale Analysis of Web Search Queries. Journal of Medical Internet Research 2013;15(6):e124
CrossRef -
Taylor J, Pagliari C. #Deathbedlive: the end-of-life trajectory, reflected in a cancer patient’s tweets. BMC Palliative Care 2018;17(1)
CrossRef -
Debin M, Turbelin C, Blanchon T, Bonmarin I, Falchi A, Hanslik T, Levy-Bruhl D, Poletto C, Colizza V, Moreno Y. Evaluating the Feasibility and Participants’ Representativeness of an Online Nationwide Surveillance System for Influenza in France. PLoS ONE 2013;8(9):e73675
CrossRef -
Ayers JW, Ribisl K, Brownstein JS, Carr J. Using Search Query Surveillance to Monitor Tax Avoidance and Smoking Cessation following the United States' 2009 “SCHIP” Cigarette Tax Increase. PLoS ONE 2011;6(3):e16777
CrossRef -
Noar SM, Althouse BM, Ayers JW, Francis DB, Ribisl KM. Cancer Information Seeking in the Digital Age. Medical Decision Making 2015;35(1):16
CrossRef -
. An Overview of Social Media in the Practice of Infectious Diseases. Infectious Diseases in Clinical Practice 2012;20(6):370
CrossRef -
Benis A, Barak Barkan R, Sela T, Harel N. Communication Behavior Changes Between Patients With Diabetes and Healthcare Providers Over 9 Years: Retrospective Cohort Study. Journal of Medical Internet Research 2020;22(8):e17186
CrossRef -
Fung IC, Fu K, Ying Y, Schaible B, Hao Y, Chan C, Tse ZT. Chinese social media reaction to the MERS-CoV and avian influenza A(H7N9) outbreaks. Infectious Diseases of Poverty 2013;2(1)
CrossRef -
Zhang L, Xu L, Zhang W. Social media as amplification station: factors that influence the speed of online public response to health emergencies. Asian Journal of Communication 2017;27(3):322
CrossRef -
Zhang Y, Arab A, Cowling BJ, Stoto MA. Characterizing Influenza surveillance systems performance: application of a Bayesian hierarchical statistical model to Hong Kong surveillance data. BMC Public Health 2014;14(1)
CrossRef -
Xie T, Tan T, Li J.
An Extensive Search Trends-Based Analysis of Public Attention on Social Media in the Early Outbreak of COVID-19 in China
. Risk Management and Healthcare Policy 2020;Volume 13:1353
CrossRef -
Bellon-Harn ML, Ulep AJ, Dueppen A, Manchaiah V, Ravi R, Gunjawate DR. A Cross-Sectional Study of the Portrayal of Vocal Health in YouTube Videos. Perspectives of the ASHA Special Interest Groups 2020;5(4):867
CrossRef -
SeyyedHosseini S, Asemi A, Shabani A, CheshmehSohrabi M. An infodemiology study on breast cancer in Iran. The Electronic Library 2018;36(2):258
CrossRef -
Alvarez-Mon MA, Llavero-Valero M, Sánchez-Bayona R, Pereira-Sanchez V, Vallejo-Valdivielso M, Monserrat J, Lahera G, Asunsolo del Barco A, Alvarez-Mon M. Areas of Interest and Stigmatic Attitudes of the General Public in Five Relevant Medical Conditions: Thematic and Quantitative Analysis Using Twitter. Journal of Medical Internet Research 2019;21(5):e14110
CrossRef -
Khan AS, Fleischauer A, Casani J, Groseclose SL. The Next Public Health Revolution: Public Health Information Fusion and Social Networks. American Journal of Public Health 2010;100(7):1237
CrossRef -
Burton SH, Tanner KW, Giraud-Carrier CG, West JH, Barnes MD. "Right Time, Right Place" Health Communication on Twitter: Value and Accuracy of Location Information. Journal of Medical Internet Research 2012;14(6):e156
CrossRef -
Mavragani A, Ochoa G. The Internet and the Anti-Vaccine Movement: Tracking the 2017 EU Measles Outbreak. Big Data and Cognitive Computing 2018;2(1):2
CrossRef -
Walker MD, Sulyok M. Online behavioural patterns for Coronavirus disease 2019 (COVID-19) in the United Kingdom. Epidemiology and Infection 2020;148
CrossRef -
Li J, Xu Q, Cuomo R, Purushothaman V, Mackey T. Data Mining and Content Analysis of the Chinese Social Media Platform Weibo During the Early COVID-19 Outbreak: Retrospective Observational Infoveillance Study. JMIR Public Health and Surveillance 2020;6(2):e18700
CrossRef -
Manchaiah V, Amlani AM, Bricker CM, Whitfield CT, Ratinaud P. Benefits and Shortcomings of Direct-to-Consumer Hearing Devices: Analysis of Large Secondary Data Generated From Amazon Customer Reviews. Journal of Speech, Language, and Hearing Research 2019;62(5):1506
CrossRef -
Gao X, Hamzah S, Yiu CKY, McGrath C, King NM. Dental Fear and Anxiety in Children and Adolescents: Qualitative Study Using YouTube. Journal of Medical Internet Research 2013;15(2):e29
CrossRef -
Prosperi M, Min JS, Bian J, Modave F. Big data hurdles in precision medicine and precision public health. BMC Medical Informatics and Decision Making 2018;18(1)
CrossRef -
Reynolds M, Hoi A, Buchanan RRC. Assessing the quality, reliability and readability of online health information regarding systemic lupus erythematosus. Lupus 2018;27(12):1911
CrossRef -
Liu S, Chen B, Kuo A. Monitoring Physical Activity Levels Using Twitter Data: Infodemiology Study. Journal of Medical Internet Research 2019;21(6):e12394
CrossRef -
Stockwell MS, Fiks AG. Utilizing health information technology to improve vaccine communication and coverage. Human Vaccines & Immunotherapeutics 2013;9(8):1802
CrossRef -
. Clinical data mining and research in the allergy office. Current Opinion in Allergy & Clinical Immunology 2010;10(3):171
CrossRef -
Zhang AJ, Albrecht L, Scott SD. Using Twitter for Data Collection With Health-Care Consumers. International Journal of Qualitative Methods 2018;17(1):160940691775078
CrossRef -
Lin Y, Hong YA, Henson BS, Stevenson RD, Hong S, Lyu T, Liang C. Assessing Patient Experience and Healthcare Quality of Dental Care Using Patient Online Reviews in the United States: Mixed Methods Study. Journal of Medical Internet Research 2020;22(7):e18652
CrossRef -
Nerlich B, Koteyko N. Crying wolf? Biosecurity and metacommunication in the context of the 2009 swine flu pandemic. Health & Place 2012;18(4):710
CrossRef -
Moon H, Lee GH. Evaluation of Korean-Language COVID-19–Related Medical Information on YouTube: Cross-Sectional Infodemiology Study. Journal of Medical Internet Research 2020;22(8):e20775
CrossRef -
Brigo F, Erro R. Why do people google movement disorders? An infodemiological study of information seeking behaviors. Neurological Sciences 2016;37(5):781
CrossRef -
Strekalova YA, Hawkins KE, Drusbosky LM, Cogle CR. Using social media to assess care coordination goals and plans for leukemia patients and survivors. Translational Behavioral Medicine 2018;8(3):481
CrossRef -
Jones R, Sharkey S, Smithson J, Ford T, Emmens T, Hewis E, Sheaves B, Owens C. Using Metrics to Describe the Participative Stances of Members Within Discussion Forums. Journal of Medical Internet Research 2011;13(1):e3
CrossRef -
Egeghy PP, Sheldon LS, Isaacs KK, Özkaynak H, Goldsmith M, Wambaugh JF, Judson RS, Buckley TJ. Computational Exposure Science: An Emerging Discipline to Support 21st-Century Risk Assessment. Environmental Health Perspectives 2016;124(6):697
CrossRef -
Tan ASL, Lee C, Chae J. Exposure to Health (Mis)Information: Lagged Effects on Young Adults' Health Behaviors and Potential Pathways. Journal of Communication 2015;65(4):674
CrossRef -
. The Past, Present, and Future of Public Health Surveillance. Scientifica 2012;2012:1
CrossRef -
Koh S, Gordon AS, Wienberg C, Sood SO, Morley S, Burke DM. Stroke Experiences in Weblogs: A Feasibility Study of Sex Differences. Journal of Medical Internet Research 2014;16(3):e84
CrossRef -
Gohil S, Vuik S, Darzi A. Sentiment Analysis of Health Care Tweets: Review of the Methods Used. JMIR Public Health and Surveillance 2018;4(2):e43
CrossRef -
Kim Y, Huang J, Emery S. Garbage in, Garbage Out: Data Collection, Quality Assessment and Reporting Standards for Social Media Data Use in Health Research, Infodemiology and Digital Disease Detection. Journal of Medical Internet Research 2016;18(2):e41
CrossRef -
Bragazzi NL, Guglielmi O, Garbarino S. SleepOMICS: How Big Data Can Revolutionize Sleep Science. International Journal of Environmental Research and Public Health 2019;16(2):291
CrossRef -
Stefanidis A, Vraga E, Lamprianidis G, Radzikowski J, Delamater PL, Jacobsen KH, Pfoser D, Croitoru A, Crooks A. Zika in Twitter: Temporal Variations of Locations, Actors, and Concepts. JMIR Public Health and Surveillance 2017;3(2):e22
CrossRef -
Burton SH, Tanner KW, Giraud-Carrier CG. Leveraging social networks for anytime-anyplace health information. Network Modeling Analysis in Health Informatics and Bioinformatics 2012;1(4):173
CrossRef -
Sousa-Pinto B, Anto A, Czarlewski W, Anto JM, Fonseca JA, Bousquet J. Assessment of the Impact of Media Coverage on COVID-19–Related Google Trends Data: Infodemiology Study. Journal of Medical Internet Research 2020;22(8):e19611
CrossRef -
Mahoney J, Le Moignan E, Long K, Wilson M, Barnett J, Vines J, Lawson S. Feeling alone among 317 million others: Disclosures of loneliness on Twitter. Computers in Human Behavior 2019;98:20
CrossRef -
Jabaley CS, Blum JM, Groff RF, O’Reilly-Shah VN. Global trends in the awareness of sepsis: insights from search engine data between 2012 and 2017. Critical Care 2018;22(1)
CrossRef -
García-Díaz JA, Cánovas-García M, Valencia-García R. Ontology-driven aspect-based sentiment analysis classification: An infodemiological case study regarding infectious diseases in Latin America. Future Generation Computer Systems 2020;112:641
CrossRef -
Gesser-Edelsburg A, Abed Elhadi Shahbari N, Cohen R, Mir Halavi A, Hijazi R, Paz-Yaakobovitch G, Birman Y. Differences in Perceptions of Health Information Between the Public and Health Care Professionals: Nonprobability Sampling Questionnaire Survey. Journal of Medical Internet Research 2019;21(7):e14105
CrossRef -
Betsch C, Schmid P. Angst essen Impfbereitschaft auf?. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2013;56(1):124
CrossRef -
McLean S, Lennon P, Glare P. Internet search query analysis can be used to demonstrate the rapidly increasing public awareness of palliative care in the USA. BMJ Supportive & Palliative Care 2019;9(1):40
CrossRef -
Hua M, Sadah S, Hristidis V, Talbot P. Health Effects Associated With Electronic Cigarette Use: Automated Mining of Online Forums. Journal of Medical Internet Research 2020;22(1):e15684
CrossRef -
Șerban O, Thapen N, Maginnis B, Hankin C, Foot V. Real-time processing of social media with SENTINEL: A syndromic surveillance system incorporating deep learning for health classification. Information Processing & Management 2019;56(3):1166
CrossRef -
Leal Neto O, Dimech GS, Libel M, de Souza WV, Cesse E, Smolinski M, Oliveira W, Albuquerque J. Saúde na Copa: The World’s First Application of Participatory Surveillance for a Mass Gathering at FIFA World Cup 2014, Brazil. JMIR Public Health and Surveillance 2017;3(2):e26
CrossRef -
Ganesh R, Singh S, Mishra R, Sagar R. The quality of online media reporting of celebrity suicide in India and its association with subsequent online suicide-related search behaviour among general population: An infodemiology study. Asian Journal of Psychiatry 2020;53:102380
CrossRef -
Chen P, Chai J, Zhang L, Wang D. Development and Application of a Chinese Webpage Suicide Information Mining System (Sims). Journal of Medical Systems 2014;38(11)
CrossRef -
. POST-PANOPTIC SURVEILLANCE THROUGH HEALTHCARE RATING SITES. Information, Communication & Society 2013;16(2):215
CrossRef -
. Google Medical Update: Why Is the Search Engine Decreasing Visibility of Health and Medical Information Websites?. International Journal of Environmental Research and Public Health 2020;17(4):1160
CrossRef -
Huber J, Woods T, Fushi A, Duong M, Eidelman A, Zalal A, Urquhart O, Colangelo E, Quinn S, Carrasco-Labra A. Social Media Research Strategy to Understand Clinician and Public Perception of Health Care Messages. JDR Clinical & Translational Research 2020;5(1):71
CrossRef -
Park K, Kim Y, Kim Y, Cha M, Han WH, Oh D. Suggestions for establishing a sustainable risk communication platform for carcinogenic factors. Epidemiology and Health 2014;:e2014034
CrossRef -
. Can Tweets Predict Citations? Metrics of Social Impact Based on Twitter and Correlation with Traditional Metrics of Scientific Impact. Journal of Medical Internet Research 2011;13(4):e123
CrossRef -
. Social media trends for health librarians: a primer on using social media for clinical disease surveillance. Journal of the Canadian Health Libraries Association / Journal de l'Association des bibliothèques de la santé du Canada 2014;33(2):92
CrossRef -
Caron A, Chazard E, Muller J, Perichon R, Ferret L, Koutkias V, Beuscart R, Beuscart J, Ficheur G. IT-CARES: an interactive tool for case-crossover analyses of electronic medical records for patient safety. Journal of the American Medical Informatics Association 2017;24(2):323
CrossRef -
. Infodemiology and Infoveillance of Multiple Sclerosis in Italy. Multiple Sclerosis International 2013;2013:1
CrossRef -
Johansen MA, Henriksen E, Horsch A, Schuster T, Berntsen GKR. Electronic Symptom Reporting Between Patient and Provider for Improved Health Care Service Quality: A Systematic Review of Randomized Controlled Trials. Part 1: State of the Art. Journal of Medical Internet Research 2012;14(5):e118
CrossRef -
. The Digital Phenotype: a Philosophical and Ethical Exploration. Philosophy & Technology 2019;32(1):155
CrossRef -
Saha K, Torous J, Ernala SK, Rizuto C, Stafford A, De Choudhury M. A computational study of mental health awareness campaigns on social media. Translational Behavioral Medicine 2019;9(6):1197
CrossRef -
Wang T, Xia Q, Chen X, Jin X.
Use of Baidu Index to Track Chinese Online Behavior and Interest in Kidney Stones
. Risk Management and Healthcare Policy 2020;Volume 13:705
CrossRef -
Rezaee ME, Goddard B, Sverrisson EF, Seigne JD, Dagrosa LM. ‘Dr Google’: trends in online interest in prostate cancer screening, diagnosis and treatment. BJU International 2019;124(4):629
CrossRef -
Safarnejad L, Xu Q, Ge Y, Bagavathi A, Krishnan S, Chen S. Identifying Influential Factors in the Discussion Dynamics of Emerging Health Issues on Social Media: Computational Study. JMIR Public Health and Surveillance 2020;6(3):e17175
CrossRef -
Flanagan JM, Skrobanski H, Shi X, Hirst Y. Self-Care Behaviors of Ovarian Cancer Patients Before Their Diagnosis: Proof-of-Concept Study. JMIR Cancer 2019;5(1):e10447
CrossRef -
Mikal J, Hurst S, Conway M. Ethical issues in using Twitter for population-level depression monitoring: a qualitative study. BMC Medical Ethics 2016;17(1)
CrossRef -
Marcus MA, Westra HA, Eastwood JD, Barnes KL. What Are Young Adults Saying About Mental Health? An Analysis of Internet Blogs. Journal of Medical Internet Research 2012;14(1):e17
CrossRef -
Nagar R, Yuan Q, Freifeld CC, Santillana M, Nojima A, Chunara R, Brownstein JS. A Case Study of the New York City 2012-2013 Influenza Season With Daily Geocoded Twitter Data From Temporal and Spatiotemporal Perspectives. Journal of Medical Internet Research 2014;16(10):e236
CrossRef -
Kenney M, Mamo L. The imaginary of precision public health. Medical Humanities 2020;46(3):192
CrossRef -
Murayama T, Shimizu N, Fujita S, Wakamiya S, Aramaki E, Wen T. Robust two-stage influenza prediction model considering regular and irregular trends. PLOS ONE 2020;15(5):e0233126
CrossRef -
Husain I, Briggs B, Lefebvre C, Cline DM, Stopyra JP, O'Brien MC, Vaithi R, Gilmore S, Countryman C. Fluctuation of Public Interest in COVID-19 in the United States: Retrospective Analysis of Google Trends Search Data. JMIR Public Health and Surveillance 2020;6(3):e19969
CrossRef -
Ganasegeran K, Ch’ng ASH, Aziz ZA, Looi I. Population’s health information-seeking behaviors and geographic variations of stroke in Malaysia: an ecological correlation and time series study. Scientific Reports 2020;10(1)
CrossRef -
Harris JK, Moreland-Russell S, Choucair B, Mansour R, Staub M, Simmons K. Tweeting for and Against Public Health Policy: Response to the Chicago Department of Public Health's Electronic Cigarette Twitter Campaign. Journal of Medical Internet Research 2014;16(10):e238
CrossRef -
Bragazzi NL, Bacigaluppi S, Robba C, Nardone R, Trinka E, Brigo F. Infodemiology of status epilepticus: A systematic validation of the Google Trends-based search queries. Epilepsy & Behavior 2016;55:120
CrossRef -
. Analysing Twitter as an Opportunity to Understand Substance Use. SSRN Electronic Journal 2015;
CrossRef -
Risson V, Saini D, Bonzani I, Huisman A, Olson M. Patterns of Treatment Switching in Multiple Sclerosis Therapies in US Patients Active on Social Media: Application of Social Media Content Analysis to Health Outcomes Research. Journal of Medical Internet Research 2016;18(3):e62
CrossRef -
Faoury M, Upile T, Patel N. Using Google Trends to understand information-seeking behaviour about throat cancer. The Journal of Laryngology & Otology 2019;133(7):610
CrossRef -
Strieder AP, Aguirre PEA, Lotto M, Cruvinel AFP, Cruvinel T. Digital behavior surveillance for monitoring the interests of Google users in amber necklace in different countries. International Journal of Paediatric Dentistry 2019;29(5):603
CrossRef -
Reuter K, Danve A, Deodhar A. Harnessing the power of social media: how can it help in axial spondyloarthritis research?. Current Opinion in Rheumatology 2019;31(4):321
CrossRef -
Apolinardo-Arzube O, García-Díaz JA, Medina-Moreira J, Luna-Aveiga H, Valencia-García R. Evaluating Information-Retrieval Models and Machine-Learning Classifiers for Measuring the Social Perception towards Infectious Diseases. Applied Sciences 2019;9(14):2858
CrossRef -
Hanson CL, Burton SH, Giraud-Carrier C, West JH, Barnes MD, Hansen B. Tweaking and Tweeting: Exploring Twitter for Nonmedical Use of a Psychostimulant Drug (Adderall) Among College Students. Journal of Medical Internet Research 2013;15(4):e62
CrossRef -
. Capturing Curiosity: Using Internet Search Trends to Measure Public Attentiveness. Policy Studies Journal 2011;39(2):239
CrossRef -
Nishimoto N, Ota M, Yagahara A, Ogasawara K. Estimating the Duration of Public Concern After the Fukushima Dai-ichi Nuclear Power Station Accident from the Occurrence of Radiation Exposure-Related Terms on Twitter: A Retrospective Data Analysis. JMIR Public Health and Surveillance 2016;2(2):e168
CrossRef -
Kazemi DM, Borsari B, Levine MJ, Dooley B. Systematic review of surveillance by social media platforms for illicit drug use. Journal of Public Health 2017;39(4):763
CrossRef -
Salathé M, Khandelwal S, Meyers LA. Assessing Vaccination Sentiments with Online Social Media: Implications for Infectious Disease Dynamics and Control. PLoS Computational Biology 2011;7(10):e1002199
CrossRef -
Cherry JC, Gordon KE. Stuttering as a Symptom of Concussion. Pediatric Emergency Care 2017;33(11):e137
CrossRef -
Ni J, Bellon-Harn ML, Zhang J, Li Y, Manchaiah V. Twitter Usage Using Common Reference to Tinnitus. American Journal of Audiology 2020;29(2):206
CrossRef -
Mavragani A, Ochoa G. Infoveillance of infectious diseases in USA: STDs, tuberculosis, and hepatitis. Journal of Big Data 2018;5(1)
CrossRef -
McIver DJ, Hawkins JB, Chunara R, Chatterjee AK, Bhandari A, Fitzgerald TP, Jain SH, Brownstein JS. Characterizing Sleep Issues Using Twitter. Journal of Medical Internet Research 2015;17(6):e140
CrossRef -
Yom-Tov E, Borsa D, Hayward AC, McKendry RA, Cox IJ. Automatic Identification of Web-Based Risk Markers for Health Events. Journal of Medical Internet Research 2015;17(1):e29
CrossRef -
. Social Media as a Catalyst for Policy Action and Social Change for Health and Well-Being: Viewpoint. Journal of Medical Internet Research 2018;20(3):e94
CrossRef -
Li J, Chen W, Xu Q, Shah N, Kohler JC, Mackey TK. Detection of self-reported experiences with corruption on twitter using unsupervised machine learning. Social Sciences & Humanities Open 2020;2(1):100060
CrossRef -
Brigo F, Lattanzi S, Bragazzi N, Nardone R, Moccia M, Lavorgna L. Why do people search Wikipedia for information on multiple sclerosis?. Multiple Sclerosis and Related Disorders 2018;20:210
CrossRef -
Hoyos LR, Putra M, Armstrong AA, Cheng CY, Riestenberg CK, Schooler TA, Dumesic DA. Measures of Patient Dissatisfaction With Health Care in Polycystic Ovary Syndrome: Retrospective Analysis. Journal of Medical Internet Research 2020;22(4):e16541
CrossRef -
Robillard JM, Johnson TW, Hennessey C, Beattie BL, Illes J, Jenkins N. Aging 2.0: Health Information about Dementia on Twitter. PLoS ONE 2013;8(7):e69861
CrossRef -
Xu X, Litchman ML, Gee PM, Whatcott W, Chacon L, Holmes J, Srinivasan SS. Predicting Prediabetes Through Facebook Postings: Protocol for a Mixed-Methods Study. JMIR Research Protocols 2018;7(12):e10720
CrossRef -
Wagner M, Lampos V, Cox IJ, Pebody R. The added value of online user-generated content in traditional methods for influenza surveillance. Scientific Reports 2018;8(1)
CrossRef -
Brigo F, Igwe SC, Nardone R, Orioli A, Otte WM. Cancer information disparities on the internet: An infodemiological study. Journal of Cancer Policy 2016;8:33
CrossRef -
. Ethical Issues in Using Twitter for Public Health Surveillance and Research: Developing a Taxonomy of Ethical Concepts From the Research Literature. Journal of Medical Internet Research 2014;16(12):e290
CrossRef -
. Adverse drug reactions and social media. Adverse Drug Reaction Bulletin 2014;286(1):1103
CrossRef -
Pervaiz F, Pervaiz M, Abdur Rehman N, Saif U. FluBreaks: Early Epidemic Detection from Google Flu Trends. Journal of Medical Internet Research 2012;14(5):e125
CrossRef -
Robillard JM, Whiteley L, Johnson TW, Lim J, Wasserman WW, Illes J. Utilizing Social Media to Study Information-Seeking and Ethical Issues in Gene Therapy. Journal of Medical Internet Research 2013;15(3):e44
CrossRef -
Gianfredi V, Bragazzi N, Mahamid M, Bisharat B, Mahroum N, Amital H, Adawi M. Monitoring public interest toward pertussis outbreaks: an extensive Google Trends–based analysis. Public Health 2018;165:9
CrossRef -
Balatsoukas P, Kennedy CM, Buchan I, Powell J, Ainsworth J. The Role of Social Network Technologies in Online Health Promotion: A Narrative Review of Theoretical and Empirical Factors Influencing Intervention Effectiveness. Journal of Medical Internet Research 2015;17(6):e141
CrossRef -
Bellon-Harn ML, Ni J, Manchaiah V. Twitter usage about autism spectrum disorder. Autism 2020;24(7):1805
CrossRef -
Daniulaityte R, Carlson R, Brigham G, Cameron D, Sheth A. “Sub is a weird drug:” A web‐based study of lay attitudes about use of buprenorphine to self‐treat opioid withdrawal symptoms. The American Journal on Addictions 2015;24(5):403
CrossRef -
Panatto D, Domnich A, Gasparini R, Bonanni P, Icardi G, Amicizia D, Arata L, Carozzo S, Signori A, Bechini A, Boccalini S. An eHealth Project on Invasive Pneumococcal Disease: Comprehensive Evaluation of a Promotional Campaign. Journal of Medical Internet Research 2016;18(12):e316
CrossRef -
Si Y, Wu H, Liu Q. Factors Influencing Doctors’ Participation in the Provision of Medical Services Through Crowdsourced Health Care Information Websites: Elaboration-Likelihood Perspective Study. JMIR Medical Informatics 2020;8(6):e16704
CrossRef -
Chang Y, Chiang W, Wang W, Lin C, Hung L, Tsai Y, Suen J, Chen Y. Google Trends-based non-English language query data and epidemic diseases: a cross-sectional study of the popular search behaviour in Taiwan. BMJ Open 2020;10(7):e034156
CrossRef -
Domnich A, Arbuzova EK, Signori A, Amicizia D, Panatto D, Gasparini R. Demand-based web surveillance of sexually transmitted infections in Russia. International Journal of Public Health 2014;59(5):841
CrossRef -
Hesse BW, Hansen D, Finholt T, Munson S, Kellogg W, Thomas JC. Social Participation in Health 2.0. Computer 2010;43(11):45
CrossRef -
Chen B, Zhang JM, Jiang Z, Shao J, Jiang T, Wang Z, Liu K, Tang S, Gu H, Jiang J. Media and public reactions toward vaccination during the ‘hepatitis B vaccine crisis’ in China. Vaccine 2015;33(15):1780
CrossRef -
Mullins CF, ffrench-O'Carroll R, Lane J, O'Connor T. Sharing the pain: an observational analysis of Twitter and pain in Ireland. Regional Anesthesia & Pain Medicine 2020;45(8):597
CrossRef -
Yom-Tov E, Muennig P, El-Sayed AM. Web-Based Antismoking Advertising to Promote Smoking Cessation: A Randomized Controlled Trial. Journal of Medical Internet Research 2016;18(11):e306
CrossRef -
Leal Neto OB, Albuquerque CM, Albuquerque JO, Barbosa CS. The Schisto Track: A System for Gathering and Monitoring Epidemiological Surveys by Connecting Geographical Information Systems in Real Time. JMIR mhealth and uhealth 2014;2(1):e10
CrossRef -
Smolinski MS, Crawley AW, Olsen JM, Jayaraman T, Libel M. Participatory Disease Surveillance: Engaging Communities Directly in Reporting, Monitoring, and Responding to Health Threats. JMIR Public Health and Surveillance 2017;3(4):e62
CrossRef -
Loubet P, Verger P, Abitbol V, Peyrin-Biroulet L, Launay O. Pneumococcal and influenza vaccine uptake in adults with inflammatory bowel disease in France: Results from a web-based study. Digestive and Liver Disease 2018;50(6):563
CrossRef -
Ziakas PD, Mylonakis E. Web search popularity, publicity, and utilization of direct oral anticoagulants in the United States, 2008–2018. Medicine 2020;99(19):e20005
CrossRef -
. Tracking COVID-19 in Europe: Infodemiology Approach. JMIR Public Health and Surveillance 2020;6(2):e18941
CrossRef -
Brigo F, Lattanzi S, Giussani G, Tassi L, Pietrafusa N, Galimberti CA, Nardone R, Bragazzi NL, Mecarelli O. Italian Wikipedia and epilepsy: An infodemiological study of online information-seeking behavior. Epilepsy & Behavior 2018;81:119
CrossRef -
Olabe XB, León VC, Galvan P, de Cabral MB, Basogain MAO, Gomez-Solaetxe MA, Larrabe JL. Epidemiological Surveillance Using Information Technologies in Paraguay. Biomedical Instrumentation & Technology 2010;44(2):159
CrossRef -
Brigo F, Igwe SC, Nardone R, Lochner P, Tezzon F, Otte WM. Wikipedia and neurological disorders. Journal of Clinical Neuroscience 2015;22(7):1170
CrossRef -
Pobiruchin M, Zowalla R, Wiesner M. Temporal and Location Variations, and Link Categories for the Dissemination of COVID-19–Related Information on Twitter During the SARS-CoV-2 Outbreak in Europe: Infoveillance Study. Journal of Medical Internet Research 2020;22(8):e19629
CrossRef -
Pereira-Sanchez V, Alvarez-Mon MA, Asunsolo del Barco A, Alvarez-Mon M, Teo A. Exploring the Extent of the Hikikomori Phenomenon on Twitter: Mixed Methods Study of Western Language Tweets. Journal of Medical Internet Research 2019;21(5):e14167
CrossRef -
Wallace RM, Stanek D, Griese S, Krulak D, Vora NM, Pacha L, Kan V, Said M, Williams C, Burgess TH, Clausen SS, Austin C, Gabel J, Lehman M, Finelli LN, Selvaggi G, Joyce P, Gordin F, Benator D, Bettano A, Cersovsky S, Blackmore C, Jones SV, Buchanan BD, Fernandez AI, Dinelli D, Agnes K, Clark A, Gill J, Irmler M, Blythe D, Mitchell K, Whitman TJ, Zapor MJ, Zorich S, Witkop C, Jenkins P, Mora P, Droller D, Turner S, Dunn L, Williams P, Richards C, Ewing G, Chapman K, Corbitt C, Girimont T, Franka R, Recuenco S, Blanton JD, Feldman KA. A Large‐scale, Rapid Public Health Response to Rabies in an Organ Recipient and the Previously Undiagnosed Organ Donor. Zoonoses and Public Health 2014;61(8):560
CrossRef -
Fox BI, Varadarajan R. Use of Twitter to Encourage Interaction in a Multi-campus Pharmacy Management Course. American Journal of Pharmaceutical Education 2011;75(5):88
CrossRef -
Chary M, Genes N, McKenzie A, Manini AF. Leveraging Social Networks for Toxicovigilance. Journal of Medical Toxicology 2013;9(2):184
CrossRef -
Fernandez-Luque L, Karlsen R, Bonander J. Review of Extracting Information From the Social Web for Health Personalization. Journal of Medical Internet Research 2011;13(1):e15
CrossRef -
Ayers JW, Westmaas JL, Leas EC, Benton A, Chen Y, Dredze M, Althouse BM. Leveraging Big Data to Improve Health Awareness Campaigns: A Novel Evaluation of the Great American Smokeout. JMIR Public Health and Surveillance 2016;2(1):e16
CrossRef -
Anderson L, Bell HG, Gilbert M, Davidson JE, Winter C, Barratt MJ, Win B, Painter JL, Menone C, Sayegh J, Dasgupta N. Using Social Listening Data to Monitor Misuse and Nonmedical Use of Bupropion: A Content Analysis. JMIR Public Health and Surveillance 2017;3(1):e6
CrossRef -
Wakamiya S, Kawai Y, Aramaki E. Twitter-Based Influenza Detection After Flu Peak via Tweets With Indirect Information: Text Mining Study. JMIR Public Health and Surveillance 2018;4(3):e65
CrossRef -
Uscher-Pines L, Babin SM, Farrell CL, Hsieh Y, Moskal MD, Gaydos CA, Rothman RE. Research Priorities for Syndromic Surveillance Systems Response. Journal of Public Health Management and Practice 2010;16(6):529
CrossRef -
Mavragani A, Ochoa G. Forecasting AIDS prevalence in the United States using online search traffic data. Journal of Big Data 2018;5(1)
CrossRef -
. The Seasonal Periodicity of Healthy Contemplations About Exercise and Weight Loss: Ecological Correlational Study. JMIR Public Health and Surveillance 2017;3(4):e92
CrossRef -
Scanfeld D, Scanfeld V, Larson EL. Dissemination of health information through social networks: Twitter and antibiotics. American Journal of Infection Control 2010;38(3):182
CrossRef -
Zheluk A, Quinn C, Hercz D, Gillespie JA. Internet Search Patterns of Human Immunodeficiency Virus and the Digital Divide in the Russian Federation: Infoveillance Study. Journal of Medical Internet Research 2013;15(11):e256
CrossRef -
Zhang MW, Ho CS, Fang P, Lu Y, Ho RC. Usage of Social Media and Smartphone Application in Assessment of Physical and Psychological Well-Being of Individuals in Times of a Major Air Pollution Crisis. JMIR mhealth and uhealth 2014;2(1):e16
CrossRef -
. How to Fight an Infodemic: The Four Pillars of Infodemic Management. Journal of Medical Internet Research 2020;22(6):e21820
CrossRef -
Neumark Y, Flum L, Lopez-Quintero C, Shtarkshall R. Quality of online health information about oral contraceptives from Hebrew-language websites. Israel Journal of Health Policy Research 2012;1(1)
CrossRef -
Gesualdo F, Stilo G, Agricola E, Gonfiantini MV, Pandolfi E, Velardi P, Tozzi AE, Cook A. Influenza-Like Illness Surveillance on Twitter through Automated Learning of Naïve Language. PLoS ONE 2013;8(12):e82489
CrossRef -
Greyson D, Knight R, Shoveller JA. Ethics, effectiveness and population health information interventions: a Canadian analysis. Health Promotion International 2019;34(3):501
CrossRef -
Hunter RF, Gough A, O’Kane N, McKeown G, Fitzpatrick A, Walker T, McKinley M, Lee M, Kee F. Ethical Issues in Social Media Research for Public Health. American Journal of Public Health 2018;108(3):343
CrossRef -
Kamel Boulos MN, Sanfilippo AP, Corley CD, Wheeler S. Social Web mining and exploitation for serious applications: Technosocial Predictive Analytics and related technologies for public health, environmental and national security surveillance. Computer Methods and Programs in Biomedicine 2010;100(1):16
CrossRef -
Russo GI, di Mauro M, Cocci A, Cacciamani G, Cimino S, Serefoglu EC, Albersen M, Capogrosso P, Fode M, Verze P. Consulting “Dr Google” for sexual dysfunction: a contemporary worldwide trend analysis. International Journal of Impotence Research 2020;32(4):455
CrossRef -
Conway M, Kawazoe A, Chanlekha H, Collier N. Developing a Disease Outbreak Event Corpus. Journal of Medical Internet Research 2010;12(3):e43
CrossRef -
Prieto JT, Jara JH, Alvis JP, Furlan LR, Murray CT, Garcia J, Benghozi P, Kaydos-Daniels SC. Will Participatory Syndromic Surveillance Work in Latin America? Piloting a Mobile Approach to Crowdsource Influenza-Like Illness Data in Guatemala. JMIR Public Health and Surveillance 2017;3(4):e87
CrossRef -
Zheluk A, Gillespie JA, Quinn C. Searching for Truth: Internet Search Patterns as a Method of Investigating Online Responses to a Russian Illicit Drug Policy Debate. Journal of Medical Internet Research 2012;14(6):e165
CrossRef -
Mavragani A, Sampri A, Sypsa K, Tsagarakis KP. Integrating Smart Health in the US Health Care System: Infodemiology Study of Asthma Monitoring in the Google Era. JMIR Public Health and Surveillance 2018;4(1):e24
CrossRef -
Curtis B, Alanis‐Hirsch K, Kaynak , Cacciola J, Meyers K, McLellan AT. Using Web searches to track interest in synthetic cannabinoids (aka ‘herbal incense’). Drug and Alcohol Review 2015;34(1):105
CrossRef -
Leal-Neto OB, Dimech GS, Libel M, Oliveira W, Ferreira JP. Digital disease detection and participatory surveillance: overview and perspectives for Brazil. Revista de Saúde Pública 2016;50
CrossRef -
Domnich A, Panatto D, Signori A, Lai PL, Gasparini R, Amicizia D, Olson DR. Age-Related Differences in the Accuracy of Web Query-Based Predictions of Influenza-Like Illness. PLOS ONE 2015;10(5):e0127754
CrossRef -
. Latin American countries lead in Google search volumes for anorexia nervosa and bulimia nervosa: Implications for global mental health research. International Journal of Eating Disorders 2018;51(12):1352
CrossRef -
Lavorgna L, Brigo F, Moccia M, Leocani L, Lanzillo R, Clerico M, Abbadessa G, Schmierer K, Solaro C, Prosperini L, Tedeschi G, Giovannoni G, Bonavita S. e-Health and multiple sclerosis: An update. Multiple Sclerosis Journal 2018;24(13):1657
CrossRef -
Bekhuis T, Kreinacke M, Spallek H, Song M, O'Donnell JA. Using Natural Language Processing to Enable In-depth Analysis of Clinical Messages Posted to an Internet Mailing List: A Feasibility Study. Journal of Medical Internet Research 2011;13(4):e98
CrossRef -
. Assessing Presidential Agenda-Setting Capacity: Dynamic Comparisons of Presidential, Mass Media, and Public Attention to Economic Issues. Congress & the Presidency 2013;40(3):255
CrossRef -
Pagliari C, Vijaykumar S, Churcher TS. Digital Participatory Surveillance and the Zika Crisis: Opportunities and Caveats. PLOS Neglected Tropical Diseases 2016;10(6):e0004795
CrossRef -
Freifeld CC, Chunara R, Mekaru SR, Chan EH, Kass-Hout T, Ayala Iacucci A, Brownstein JS. Participatory Epidemiology: Use of Mobile Phones for Community-Based Health Reporting. PLoS Medicine 2010;7(12):e1000376
CrossRef -
Bhatti J, Redelmeier DA. Angelina Jolie and Medical Decision Science. Medical Decision Making 2015;35(1):4
CrossRef -
Vasconcellos-Silva PR, Carvalho DBF, Trajano V, de La Rocque LR, Sawada ACMB, Juvanhol LL. Using Google Trends Data to Study Public Interest in Breast Cancer Screening in Brazil: Why Not a Pink February?. JMIR Public Health and Surveillance 2017;3(2):e17
CrossRef -
Joshi A, Wangmo R, Amadi C. Blogs as Channels for Disseminating Health Technology Innovations. Healthcare Informatics Research 2017;23(3):208
CrossRef -
Jadhav A, Andrews D, Fiksdal A, Kumbamu A, McCormick JB, Misitano A, Nelsen L, Ryu E, Sheth A, Wu S, Pathak J. Comparative Analysis of Online Health Queries Originating From Personal Computers and Smart Devices on a Consumer Health Information Portal. Journal of Medical Internet Research 2014;16(7):e160
CrossRef -
Caputi TL, Ayers JW, Dredze M, Suplina N, Burd-Sharps S. Collateral Crises of Gun Preparation and the COVID-19 Pandemic: Infodemiology Study. JMIR Public Health and Surveillance 2020;6(2):e19369
CrossRef -
Nascimento TD, DosSantos MF, Danciu T, DeBoer M, van Holsbeeck H, Lucas SR, Aiello C, Khatib L, Bender MA, Zubieta J, DaSilva AF. Real-Time Sharing and Expression of Migraine Headache Suffering on Twitter: A Cross-Sectional Infodemiology Study. Journal of Medical Internet Research 2014;16(4):e96
CrossRef -
Chary M, Genes N, Giraud-Carrier C, Hanson C, Nelson LS, Manini AF. Epidemiology from Tweets: Estimating Misuse of Prescription Opioids in the USA from Social Media. Journal of Medical Toxicology 2017;13(4):278
CrossRef -
French M, Mykhalovskiy E. Public health intelligence and the detection of potential pandemics. Sociology of Health & Illness 2013;35(2):174
CrossRef -
Loubet P, Guerrisi C, Turbelin C, Blondel B, Launay O, Bardou M, Goffinet F, Colizza V, Hanslik T, Kernéis S. Influenza during pregnancy: Incidence, vaccination coverage and attitudes toward vaccination in the French web-based cohort G-GrippeNet. Vaccine 2016;34(20):2390
CrossRef -
Dreher PC, Tong C, Ghiraldi E, Friedlander JI. Use of Google Trends to Track Online Behavior and Interest in Kidney Stone Surgery. Urology 2018;121:74
CrossRef -
Badell-Grau RA, Cuff JP, Kelly BP, Waller-Evans H, Lloyd-Evans E. Investigating the Prevalence of Reactive Online Searching in the COVID-19 Pandemic: Infoveillance Study. Journal of Medical Internet Research 2020;22(10):e19791
CrossRef -
Schneider JA, Holland CP. eHealth Search Patterns: A Comparison of Private and Public Health Care Markets Using Online Panel Data. Journal of Medical Internet Research 2017;19(4):e117
CrossRef -
Metwally O, Blumberg S, Ladabaum U, Sinha SR. Using Social Media to Characterize Public Sentiment Toward Medical Interventions Commonly Used for Cancer Screening: An Observational Study. Journal of Medical Internet Research 2017;19(6):e200
CrossRef -
Brigo F, Strapazzon G, Otte WM, Igwe SC, Brugger H. Web search behavior for snow avalanches: an Italian study. Natural Hazards 2016;80(1):141
CrossRef -
Hill S, Mao J, Ungar L, Hennessy S, Leonard CE, Holmes J. Natural Supplements for H1N1 Influenza: Retrospective Observational Infodemiology Study of Information and Search Activity on the Internet. Journal of Medical Internet Research 2011;13(2):e36
CrossRef -
VELASCO E, AGHENEZA T, DENECKE K, KIRCHNER G, ECKMANNS T. Social Media and Internet‐Based Data in Global Systems for Public Health Surveillance: A Systematic Review. The Milbank Quarterly 2014;92(1):7
CrossRef -
Towers S, Afzal S, Bernal G, Bliss N, Brown S, Espinoza B, Jackson J, Judson-Garcia J, Khan M, Lin M, Mamada R, Moreno VM, Nazari F, Okuneye K, Ross ML, Rodriguez C, Medlock J, Ebert D, Castillo-Chavez C, Ouzounis CA. Mass Media and the Contagion of Fear: The Case of Ebola in America. PLOS ONE 2015;10(6):e0129179
CrossRef -
Al-garadi MA, Khan MS, Varathan KD, Mujtaba G, Al-Kabsi AM. Using online social networks to track a pandemic: A systematic review. Journal of Biomedical Informatics 2016;62:1
CrossRef -
Cervellin G, Comelli I, Lippi G. Is Google Trends a reliable tool for digital epidemiology? Insights from different clinical settings. Journal of Epidemiology and Global Health 2017;7(3):185
CrossRef -
Leis A, Ronzano F, Mayer MA, Furlong LI, Sanz F. Detecting Signs of Depression in Tweets in Spanish: Behavioral and Linguistic Analysis. Journal of Medical Internet Research 2019;21(6):e14199
CrossRef -
Higgins TS, Wu AW, Sharma D, Illing EA, Rubel K, Ting JY. Correlations of Online Search Engine Trends With Coronavirus Disease (COVID-19) Incidence: Infodemiology Study. JMIR Public Health and Surveillance 2020;6(2):e19702
CrossRef -
McIver DJ, Brownstein JS, Salathé M. Wikipedia Usage Estimates Prevalence of Influenza-Like Illness in the United States in Near Real-Time. PLoS Computational Biology 2014;10(4):e1003581
CrossRef -
Nikfarjam A, Ransohoff JD, Callahan A, Jones E, Loew B, Kwong BY, Sarin KY, Shah NH. Early Detection of Adverse Drug Reactions in Social Health Networks: A Natural Language Processing Pipeline for Signal Detection. JMIR Public Health and Surveillance 2019;5(2):e11264
CrossRef -
Ayers JW, Althouse BM, Allem J, Ford DE, Ribisl KM, Cohen JE. A Novel Evaluation of World No Tobacco Day in Latin America. Journal of Medical Internet Research 2012;14(3):e77
CrossRef -
Padrez KA, Ungar L, Schwartz HA, Smith RJ, Hill S, Antanavicius T, Brown DM, Crutchley P, Asch DA, Merchant RM. Linking social media and medical record data: a study of adults presenting to an academic, urban emergency department. BMJ Quality & Safety 2016;25(6):414
CrossRef -
Eddens KS, Kreuter MW, Morgan JC, Beatty KE, Jasim SA, Garibay L, Tao D, Buskirk TD, Jupka KA. Disparities by Race and Ethnicity in Cancer Survivor Stories Available on the Web. Journal of Medical Internet Research 2009;11(4):e50
CrossRef -
Myslín M, Zhu S, Chapman W, Conway M. Using Twitter to Examine Smoking Behavior and Perceptions of Emerging Tobacco Products. Journal of Medical Internet Research 2013;15(8):e174
CrossRef -
Hua M, Alfi M, Talbot P. Health-Related Effects Reported by Electronic Cigarette Users in Online Forums. Journal of Medical Internet Research 2013;15(4):e59
CrossRef -
Ling R, Lee J. Disease Monitoring and Health Campaign Evaluation Using Google Search Activities for HIV and AIDS, Stroke, Colorectal Cancer, and Marijuana Use in Canada: A Retrospective Observational Study. JMIR Public Health and Surveillance 2016;2(2):e156
CrossRef -
Aguirre PEA, Strieder AP, Lotto M, Oliveira TM, Rios D, Cruvinel AFP, Cruvinel T. Are the Internet users concerned about molar incisor hypomineralization? An infoveillance study. International Journal of Paediatric Dentistry 2020;30(1):27
CrossRef -
Hesse BW, Gaysynsky A, Ottenbacher A, Moser RP, Blake KD, Chou WS, Vieux S, Beckjord E. Meeting the Healthy People 2020 Goals: Using the Health Information National Trends Survey to Monitor Progress on Health Communication Objectives. Journal of Health Communication 2014;19(12):1497
CrossRef -
Miller CA, Henderson AN, Guidry JPD, McGuire KP, Fuemmeler BF. Pinning Pink: Messages About Hereditary Breast Cancer Risk on Pinterest. Journal of Cancer Education 2022;37(3):532
CrossRef -
Tao Z, Chu G, McGrath C, Hua F, Leung YY, Yang W, Su Y. Nature and Diffusion of COVID-19–related Oral Health Information on Chinese Social Media: Analysis of Tweets on Weibo. Journal of Medical Internet Research 2020;22(6):e19981
CrossRef -
Manchaiah V, Bellon-Harn ML, Godina IM, Beukes EW, Vinay . Portrayal of Hearing Loss in YouTube Videos: An Exploratory Cross-Sectional Analysis. American Journal of Audiology 2020;29(3):450
CrossRef -
Johnston EJ, Campbell K, Coleman T, Lewis S, Orton S, Cooper S. Safety of Electronic Cigarette Use During Breastfeeding: Qualitative Study Using Online Forum Discussions. Journal of Medical Internet Research 2019;21(8):e11506
CrossRef -
Brigo F, Igwe SC, Ausserer H, Nardone R, Tezzon F, Bongiovanni LG, Tinazzi M, Trinka E. Terminology of psychogenic nonepileptic seizures. Epilepsia 2015;56(3)
CrossRef -
Mavragani A, Ochoa G. Google Trends in Infodemiology and Infoveillance: Methodology Framework. JMIR Public Health and Surveillance 2019;5(2):e13439
CrossRef -
Effenberger M, Kronbichler A, Shin JI, Mayer G, Tilg H, Perco P. Association of the COVID-19 pandemic with Internet Search Volumes: A Google TrendsTM Analysis. International Journal of Infectious Diseases 2020;95:192
CrossRef -
Tufts C, Polsky D, Volpp KG, Groeneveld PW, Ungar L, Merchant RM, Pelullo AP. Characterizing Tweet Volume and Content About Common Health Conditions Across Pennsylvania: Retrospective Analysis. JMIR Public Health and Surveillance 2018;4(4):e10834
CrossRef -
Murphy E, Donohue G, McCann E. Exploring Mental Health Issues through the Use of Blogs: A Scoping Review of the Research Evidence. Issues in Mental Health Nursing 2020;41(4):296
CrossRef -
Pilozzi A, Huang X. Overcoming Alzheimer’s Disease Stigma by Leveraging Artificial Intelligence and Blockchain Technologies. Brain Sciences 2020;10(3):183
CrossRef -
Shen C, Chen A, Luo C, Zhang J, Feng B, Liao W. Using Reports of Symptoms and Diagnoses on Social Media to Predict COVID-19 Case Counts in Mainland China: Observational Infoveillance Study. Journal of Medical Internet Research 2020;22(5):e19421
CrossRef -
Leal Neto OB, Albuquerque J, Souza WV, Cesse E, Cruz OG. Inovações disruptivas e as transformações da saúde pública na era digital. Cadernos de Saúde Pública 2017;33(11)
CrossRef -
Brockes C, Grischott T, Dutkiewicz M, Schmidt-Weitmann S. Evaluation of the Education “Clinical Telemedicine/e-Health” in the Curriculum of Medical Students at the University of Zurich. Telemedicine and e-Health 2017;23(11):899
CrossRef -
Brigo F, Lattanzi S, Kinney MO, Bragazzi NL, Tassi L, Nardone R, Mecarelli O. Online behavior of people visiting a scientific website on epilepsy. Epilepsy & Behavior 2019;90:79
CrossRef -
Watad A, Watad S, Mahroum N, Sharif K, Amital H, Bragazzi NL, Adawi M. Forecasting the West Nile Virus in the United States: An Extensive Novel Data Streams–Based Time Series Analysis and Structural Equation Modeling of Related Digital Searching Behavior. JMIR Public Health and Surveillance 2019;5(1):e9176
CrossRef -
Kim M, Jung Y, Jung D, Hur C. Investigating the Congruence of Crowdsourced Information With Official Government Data: The Case of Pediatric Clinics. Journal of Medical Internet Research 2014;16(2):e29
CrossRef -
Cavazos-Rehg P, Krauss M, Grucza R, Bierut L. Characterizing the Followers and Tweets of a Marijuana-Focused Twitter Handle. Journal of Medical Internet Research 2014;16(6):e157
CrossRef -
Mimura W, Akazawa M. The Association Between Internet Searches and Moisturizer Prescription in Japan: Retrospective Observational Study. JMIR Public Health and Surveillance 2019;5(4):e13212
CrossRef -
Zeraatkar K, Ahmadi M. Trends of infodemiology studies: a scoping review. Health Information & Libraries Journal 2018;35(2):91
CrossRef -
Mackey TK, Li J, Purushothaman V, Nali M, Shah N, Bardier C, Cai M, Liang B. Big Data, Natural Language Processing, and Deep Learning to Detect and Characterize Illicit COVID-19 Product Sales: Infoveillance Study on Twitter and Instagram. JMIR Public Health and Surveillance 2020;6(3):e20794
CrossRef -
Mackey T, Purushothaman V, Li J, Shah N, Nali M, Bardier C, Liang B, Cai M, Cuomo R. Machine Learning to Detect Self-Reporting of Symptoms, Testing Access, and Recovery Associated With COVID-19 on Twitter: Retrospective Big Data Infoveillance Study. JMIR Public Health and Surveillance 2020;6(2):e19509
CrossRef -
. A Smoking Cessation Campaign on Twitter: Understanding the Use of Twitter and Identifying Major Players in a Health Campaign. Journal of Health Communication 2016;21(5):517
CrossRef -
Mahroum N, Watad A, Rosselli R, Brigo F, Chiesa V, Siri A, Ben-Ami Shor D, Martini M, Bragazzi NL, Adawi M. An infodemiological investigation of the so-called “Fluad effect” during the 2014/2015 influenza vaccination campaign in Italy: Ethical and historical implications. Human Vaccines & Immunotherapeutics 2018;14(3):712
CrossRef -
Sentana-Lledo D, Barbu CM, Ngo MN, Wu Y, Sethuraman K, Levy MZ. Seasons, Searches, and Intentions: What The Internet Can Tell Us About The Bed Bug (Hemiptera: Cimicidae) Epidemic. Journal of Medical Entomology 2016;53(1):116
CrossRef -
Matsuda S, Aoki K, Tomizawa S, Sone M, Tanaka R, Kuriki H, Takahashi Y. Analysis of Patient Narratives in Disease Blogs on the Internet: An Exploratory Study of Social Pharmacovigilance. JMIR Public Health and Surveillance 2017;3(1):e10
CrossRef -
Sinha MS, Freifeld CC, Brownstein JS, Donneyong MM, Rausch P, Lappin BM, Zhou EH, Dal Pan GJ, Pawar AM, Hwang TJ, Avorn J, Kesselheim AS. Social Media Impact of the Food and Drug Administration's Drug Safety Communication Messaging About Zolpidem: Mixed-Methods Analysis. JMIR Public Health and Surveillance 2018;4(1):e1
CrossRef -
Hanson CL, Cannon B, Burton S, Giraud-Carrier C. An Exploration of Social Circles and Prescription Drug Abuse Through Twitter. Journal of Medical Internet Research 2013;15(9):e189
CrossRef -
Lampos V, Miller AC, Crossan S, Stefansen C. Advances in nowcasting influenza-like illness rates using search query logs. Scientific Reports 2015;5(1)
CrossRef -
Wang T, Wang F, Shi L. The use of microblog-based case studies in a pharmacotherapy introduction class in China. BMC Medical Education 2013;13(1)
CrossRef -
Guiñazú MF, Cortés V, Ibáñez CF, Velásquez JD. Employing online social networks in precision-medicine approach using information fusion predictive model to improve substance use surveillance: A lesson from Twitter and marijuana consumption. Information Fusion 2020;55:150
CrossRef -
Zheluk A, Quinn C, Meylakhs P. Internet Search and Krokodil in the Russian Federation: An Infoveillance Study. Journal of Medical Internet Research 2014;16(9):e212
CrossRef -
Chiu APY, Lin Q, He D, Ghezzi P. News trends and web search query of HIV/AIDS in Hong Kong. PLOS ONE 2017;12(9):e0185004
CrossRef -
Pesälä S, Virtanen MJ, Sane J, Jousimaa J, Lyytikäinen O, Murtopuro S, Mustonen P, Kaila M, Helve O. Health Care Professionals’ Evidence-Based Medicine Internet Searches Closely Mimic the Known Seasonal Variation of Lyme Borreliosis: A Register-Based Study. JMIR Public Health and Surveillance 2017;3(2):e19
CrossRef -
Espina K, Estuar MRJE. Infodemiology for Syndromic Surveillance of Dengue and Typhoid Fever in the Philippines. Procedia Computer Science 2017;121:554
CrossRef -
Brigo F, Trinka E. Google search behavior for status epilepticus. Epilepsy & Behavior 2015;49:146
CrossRef -
Radin M, Sciascia S. Infodemiology of systemic lupus erythematous using Google Trends. Lupus 2017;26(8):886
CrossRef -
. On-line Strategic Crisis Communication: In Search of a Descriptive Model Approach. International Journal of Strategic Communication 2012;6(4):309
CrossRef -
Johansen MA, Berntsen G, Shrestha N, Bellika JG, Johnsen JK. An Exploratory Study of Patient Attitudes towards Symptom Reporting in a Primary Care Setting. Methods of Information in Medicine 2011;50(05):479
CrossRef -
Daniulaityte R, Chen L, Lamy FR, Carlson RG, Thirunarayan K, Sheth A. “When ‘Bad’ is ‘Good’”: Identifying Personal Communication and Sentiment in Drug-Related Tweets. JMIR Public Health and Surveillance 2016;2(2):e162
CrossRef -
Wu SJ, Raghupathi W. A Panel Analysis of the Strategic Association Between Information and Communication Technology and Public Health Delivery. Journal of Medical Internet Research 2012;14(5):e147
CrossRef -
Meidani Z, Sadoughi F, Ahmadi M, Maleki MR, Zohoor A, Saddik B. National Health Information Infrastructure Model: A Milestone for Health Information Management Education Realignment. Telemedicine and e-Health 2012;18(6):475
CrossRef -
Mahroum N, Adawi M, Sharif K, Waknin R, Mahagna H, Bisharat B, Mahamid M, Abu-Much A, Amital H, Luigi Bragazzi N, Watad A, Manogaran G. Public reaction to Chikungunya outbreaks in Italy—Insights from an extensive novel data streams-based structural equation modeling analysis. PLOS ONE 2018;13(5):e0197337
CrossRef -
Lau A, Kwok T, Coiera E. How Online Crowds Influence the Way Individual Consumers Answer Health Questions. Applied Clinical Informatics 2011;02(02):177
CrossRef -
Choi J, Cho Y, Shim E, Woo H. Web-based infectious disease surveillance systems and public health perspectives: a systematic review. BMC Public Health 2016;16(1)
CrossRef -
Romero-Alvarez D, Parikh N, Osthus D, Martinez K, Generous N, del Valle S, Manore CA. Google Health Trends performance reflecting dengue incidence for the Brazilian states. BMC Infectious Diseases 2020;20(1)
CrossRef -
Kamiński M, Borger M, Prymas P, Muth A, Stachowski A, Łoniewski I, Marlicz W. Analysis of Answers to Queries among Anonymous Users with Gastroenterological Problems on an Internet Forum. International Journal of Environmental Research and Public Health 2020;17(3):1042
CrossRef -
Wang H, Chen D. Economic Recession and Obesity-Related Internet Search Behavior in Taiwan: Analysis of Google Trends Data. JMIR Public Health and Surveillance 2018;4(2):e37
CrossRef -
Blouin-Genest G, Miller A. The politics of participatory epidemiology: Technologies, social media and influenza surveillance in the US. Health Policy and Technology 2017;6(2):192
CrossRef -
Huang M, ElTayeby O, Zolnoori M, Yao L. Public Opinions Toward Diseases: Infodemiological Study on News Media Data. Journal of Medical Internet Research 2018;20(5):e10047
CrossRef -
. Dijital epidemiyoloji. Türkiye Halk Sağlığı Dergisi 2020;18(2):192
CrossRef -
Brigo F, Lochner P, Tezzon F, Nardone R. Web search behavior for multiple sclerosis: An infodemiological study. Multiple Sclerosis and Related Disorders 2014;3(4):440
CrossRef -
Oh H, Kim C, Jeon J. Public Sense of Water Fluoridation as Reflected on Twitter 2009–2017. Journal of Dental Research 2020;99(1):11
CrossRef -
Albalawi Y, Sixsmith J. Agenda Setting for Health Promotion: Exploring an Adapted Model for the Social Media Era. JMIR Public Health and Surveillance 2015;1(2):e21
CrossRef -
Rovetta A, Bhagavathula AS. COVID-19-Related Web Search Behaviors and Infodemic Attitudes in Italy: Infodemiological Study. JMIR Public Health and Surveillance 2020;6(2):e19374
CrossRef -
Metcalfe D, Price C, Powell J. Media coverage and public reaction to a celebrity cancer diagnosis. Journal of Public Health 2011;33(1):80
CrossRef -
Bhattacharya S, Srinivasan P, Polgreen P, Sullivan PS. Engagement with Health Agencies on Twitter. PLoS ONE 2014;9(11):e112235
CrossRef -
Chen B, Shao J, Liu K, Cai G, Jiang Z, Huang Y, Gu H, Jiang J. Does Eating Chicken Feet With Pickled Peppers Cause Avian Influenza? Observational Case Study on Chinese Social Media During the Avian Influenza A (H7N9) Outbreak. JMIR Public Health and Surveillance 2018;4(1):e32
CrossRef -
Harris JK, Moreland-Russell S, Tabak RG, Ruhr LR, Maier RC. Communication About Childhood Obesity on Twitter. American Journal of Public Health 2014;104(7):e62
CrossRef -
Tozzi AE, Gesualdo F, D’Ambrosio A, Pandolfi E, Agricola E, Lopalco P. Can Digital Tools Be Used for Improving Immunization Programs?. Frontiers in Public Health 2016;4
CrossRef -
Naja WJ, Kansoun AH, Haddad RS. Prevalence of Depression in Medical Students at the Lebanese University and Exploring its Correlation With Facebook Relevance: A Questionnaire Study. JMIR Research Protocols 2016;5(2):e96
CrossRef -
Aguilar-Gallegos N, Romero-García LE, Martínez-González EG, García-Sánchez EI, Aguilar-Ávila J. Dataset on dynamics of Coronavirus on Twitter. Data in Brief 2020;30:105684
CrossRef -
Adawi M, Bragazzi NL, Watad A, Sharif K, Amital H, Mahroum N. Discrepancies Between Classic and Digital Epidemiology in Searching for the Mayaro Virus: Preliminary Qualitative and Quantitative Analysis of Google Trends. JMIR Public Health and Surveillance 2017;3(4):e93
CrossRef -
Moccia M, Brigo F, Tedeschi G, Bonavita S, Lavorgna L. Neurology and the Internet: a review. Neurological Sciences 2018;39(6):981
CrossRef -
Visweswaran S, Colditz JB, O’Halloran P, Han N, Taneja SB, Welling J, Chu K, Sidani JE, Primack BA. Machine Learning Classifiers for Twitter Surveillance of Vaping: Comparative Machine Learning Study. Journal of Medical Internet Research 2020;22(8):e17478
CrossRef -
Pesälä S, Virtanen MJ, Sane J, Mustonen P, Kaila M, Helve O. Health Information–Seeking Patterns of the General Public and Indications for Disease Surveillance: Register-Based Study Using Lyme Disease. JMIR Public Health and Surveillance 2017;3(4):e86
CrossRef -
Koschack J, Weibezahl L, Friede T, Himmel W, Makedonski P, Grabowski J. Scientific Versus Experiential Evidence: Discourse Analysis of the Chronic Cerebrospinal Venous Insufficiency Debate in a Multiple Sclerosis Forum. Journal of Medical Internet Research 2015;17(7):e159
CrossRef -
D'Haeseleer M, Eelen P, Sadeghi N, D'Hooghe MB, Van Schependom J, Nagels G. Feasibility of Real Time Internet-Based Teleconsultation in Patients With Multiple Sclerosis: Interventional Pilot Study. Journal of Medical Internet Research 2020;22(8):e18178
CrossRef -
Kim S, Pinkerton T, Ganesh N. Assessment of H1N1 questions and answers posted on the Web. American Journal of Infection Control 2012;40(3):211
CrossRef -
Hesse BW, O'Connell M, Augustson EM, Chou WS, Shaikh AR, Finney Rutten LJ. Realizing the Promise of Web 2.0: Engaging Community Intelligence. Journal of Health Communication 2011;16(sup1):10
CrossRef -
Mao C, Wu X, Fu X, Di M, Yu Y, Yuan J, Yang Z, Tang J. An Internet-Based Epidemiological Investigation of the Outbreak of H7N9 Avian Influenza A in China Since Early 2013. Journal of Medical Internet Research 2014;16(9):e221
CrossRef -
Madden KM, Feldman B. Weekly, Seasonal, and Geographic Patterns in Health Contemplations About Sundown Syndrome: An Ecological Correlational Study. JMIR Aging 2019;2(1):e13302
CrossRef -
Cain J, Romanelli F, Fox B. Pharmacy, social media, and health: Opportunity for impact. Journal of the American Pharmacists Association 2010;50(6):745
CrossRef -
Mittelstadt B, Benzler J, Engelmann L, Prainsack B, Vayena E. Is there a duty to participate in digital epidemiology?. Life Sciences, Society and Policy 2018;14(1)
CrossRef -
Kong G, LaVallee H, Rams A, Ramamurthi D, Krishnan-Sarin S. Promotion of Vape Tricks on YouTube: Content Analysis. Journal of Medical Internet Research 2019;21(6):e12709
CrossRef -
Lucivero F, Hallowell N, Johnson S, Prainsack B, Samuel G, Sharon T. COVID-19 and Contact Tracing Apps: Ethical Challenges for a Social Experiment on a Global Scale. Journal of Bioethical Inquiry 2020;17(4):835
CrossRef -
. Ayudas desde la red para el control de la epidemia. Infectio 2009;13(3):217
CrossRef -
Santos JC, Matos S. Analysing Twitter and web queries for flu trend prediction. Theoretical Biology and Medical Modelling 2014;11(S1)
CrossRef -
Cole-Lewis H, Varghese A, Sanders A, Schwarz M, Pugatch J, Augustson E. Assessing Electronic Cigarette-Related Tweets for Sentiment and Content Using Supervised Machine Learning. Journal of Medical Internet Research 2015;17(8):e208
CrossRef -
Husnayain A, Shim E, Fuad A, Su EC. Understanding the Community Risk Perceptions of the COVID-19 Outbreak in South Korea: Infodemiology Study. Journal of Medical Internet Research 2020;22(9):e19788
CrossRef -
Cuomo RE, Purushothaman V, Li J, Cai M, Mackey TK, Oladimeji O. Sub-national longitudinal and geospatial analysis of COVID-19 tweets. PLOS ONE 2020;15(10):e0241330
CrossRef -
Dzaye O, Adelhoefer S, Boakye E, Blaha MJ. Cardiovascular-related health behaviors and lifestyle during the COVID-19 pandemic: An infodemiology study. American Journal of Preventive Cardiology 2021;5:100148
CrossRef -
Mavragani A, Gkillas K. COVID-19 predictability in the United States using Google Trends time series. Scientific Reports 2020;10(1)
CrossRef -
Gao Y, Xie Z, Sun L, Xu C, Li D. Electronic Cigarette–Related Contents on Instagram: Observational Study and Exploratory Analysis. JMIR Public Health and Surveillance 2020;6(4):e21963
CrossRef -
Xue J, Chen J, Chen C, Hu R, Zhu T. The Hidden Pandemic of Family Violence During COVID-19: Unsupervised Learning of Tweets. Journal of Medical Internet Research 2020;22(11):e24361
CrossRef -
Kardeş S, Kuzu AS, Pakhchanian H, Raiker R, Karagülle M. Population-level interest in anti-rheumatic drugs in the COVID-19 era: insights from Google Trends. Clinical Rheumatology 2021;40(5):2047
CrossRef -
Hernández-García I, Giménez-Júlvez T. Information in Spanish on the Internet about the Prevention of COVID-19. International Journal of Environmental Research and Public Health 2020;17(21):8228
CrossRef -
Chen S, Zhou L, Song Y, Xu Q, Wang P, Wang K, Ge Y, Janies D. A Novel Machine Learning Framework for Comparison of Viral COVID-19–Related Sina Weibo and Twitter Posts: Workflow Development and Content Analysis. Journal of Medical Internet Research 2021;23(1):e24889
CrossRef -
. Public interest in spa therapy during the COVID-19 pandemic: analysis of Google Trends data among Turkey. International Journal of Biometeorology 2021;65(6):945
CrossRef -
Kurian SJ, Bhatti AUR, Alvi MA, Ting HH, Storlie C, Wilson PM, Shah ND, Liu H, Bydon M. Correlations Between COVID-19 Cases and Google Trends Data in the United States: A State-by-State Analysis. Mayo Clinic Proceedings 2020;95(11):2370
CrossRef -
Zheluk A, Maddock J. Plausibility of Using a Checklist With YouTube to Facilitate the Discovery of Acute Low Back Pain Self-Management Content: Exploratory Study. JMIR Formative Research 2020;4(11):e23366
CrossRef -
Gallotti R, Valle F, Castaldo N, Sacco P, De Domenico M. Assessing the risks of ‘infodemics’ in response to COVID-19 epidemics. Nature Human Behaviour 2020;4(12):1285
CrossRef -
Muddasani S, Fleischer AB. Prediction of ambulatory visits for itching diseases using Google Trends data. Itch 2021;6(1):e45
CrossRef -
de Souza TA, de Almeida Medeiros A, Barbosa IR, de Vasconcelos Torres G. Digital technologies for monitoring infected people, identifying contacts and tracking transmission chains in the corona virus disease 2019 pandemic. Medicine 2020;99(51):e23744
CrossRef -
Leis A, Ronzano F, Mayer MA, Furlong LI, Sanz F. Evaluating Behavioral and Linguistic Changes During Drug Treatment for Depression Using Tweets in Spanish: Pairwise Comparison Study. Journal of Medical Internet Research 2020;22(12):e20920
CrossRef -
Schnoell J, Besser G, Jank BJ, Bartosik TJ, Parzefall T, Riss D, Mueller CA, Liu DT. The association between COVID-19 cases and deaths and web-based public inquiries. Infectious Diseases 2021;53(3):176
CrossRef -
Scheerer C, Rüth M, Tizek L, Köberle M, Biedermann T, Zink A. Googling for Ticks and Borreliosis in Germany: Nationwide Google Search Analysis From 2015 to 2018. Journal of Medical Internet Research 2020;22(10):e18581
CrossRef -
Nsoesie EO, Cesare N, Müller M, Ozonoff A. COVID-19 Misinformation Spread in Eight Countries: Exponential Growth Modeling Study. Journal of Medical Internet Research 2020;22(12):e24425
CrossRef -
van Diepen C, Wolf A. "Care is not care if it isn't person‐centred": A content analysis of how Person‐Centred Care is expressed on Twitter. Health Expectations 2021;24(2):548
CrossRef -
Ayers JW, Althouse BM, Poliak A, Leas EC, Nobles AL, Dredze M, Smith D. Quantifying Public Interest in Police Reforms by Mining Internet Search Data Following George Floyd’s Death. Journal of Medical Internet Research 2020;22(10):e22574
CrossRef -
. A socio-technological model of search information divide in US cities. Aslib Journal of Information Management 2020;73(2):144
CrossRef -
Lee A, Mmonu NA, Thomas H, Rios N, Enriquez A, Breyer BN. Qualitative analysis of Amazon customer reviews of penile clamps for male urinary incontinence. Neurourology and Urodynamics 2021;40(1):384
CrossRef -
Mayo-Yáñez M, Calvo‑Henríquez C, Chiesa-Estomba C, Lechien JR, González-Torres L. Google Trends application for the study of information search behaviour on oropharyngeal cancer in Spain. European Archives of Oto-Rhino-Laryngology 2021;278(7):2569
CrossRef -
Wong MYZ, Gunasekeran DV, Nusinovici S, Sabanayagam C, Yeo KK, Cheng C, Tham Y. Telehealth Demand Trends During the COVID-19 Pandemic in the Top 50 Most Affected Countries: Infodemiological Evaluation. JMIR Public Health and Surveillance 2021;7(2):e24445
CrossRef -
Geronikolou S, Chrousos G. COVID-19–Induced Fear in Infoveillance Studies: Pilot Meta-analysis Study of Preliminary Results. JMIR Formative Research 2021;5(2):e21156
CrossRef -
Li Y, Zeng Y, Liu G, Lu D, Yang H, Ying Z, Hu Y, Qiu J, Zhang C, Fall K, Fang F, Valdimarsdóttir UA, Zhang W, Song H. Public awareness, emotional reactions and human mobility in response to the COVID-19 outbreak in China – a population-based ecological study. Psychological Medicine 2022;52(9):1793
CrossRef -
Sulyok M, Ferenci T, Walker M. Google Trends Data and COVID‐19 in Europe: Correlations and model enhancement are European wide. Transboundary and Emerging Diseases 2021;68(4):2610
CrossRef -
Muselli M, Cofini V, Desideri G, Necozione S. Coronavirus (Covid-19) pandemic: How may communication strategies influence our behaviours?. International Journal of Disaster Risk Reduction 2021;53:101982
CrossRef -
. A Year like No Other: A Call to Curb the Infodemic and Depoliticize a Pandemic Crisis. Journal of Broadcasting & Electronic Media 2020;64(5):661
CrossRef -
Xu Q, Shen Z, Shah N, Cuomo R, Cai M, Brown M, Li J, Mackey T. Characterizing Weibo Social Media Posts From Wuhan, China During the Early Stages of the COVID-19 Pandemic: Qualitative Content Analysis. JMIR Public Health and Surveillance 2020;6(4):e24125
CrossRef -
Hu Z, Yang Z, Li Q, Zhang A. The COVID-19 Infodemic: Infodemiology Study Analyzing Stigmatizing Search Terms. Journal of Medical Internet Research 2020;22(11):e22639
CrossRef -
Álvarez-Mon M, Rodríguez-Quiroga A, de Anta L, Quintero J. Aplicaciones médicas de las redes sociales. Aspectos específicos de la pandemia de la COVID-19. Medicine - Programa de Formación Médica Continuada Acreditado 2020;13(23):1305
CrossRef -
Kardeş S, Kuzu AS, Raiker R, Pakhchanian H, Karagülle M. Public interest in rheumatic diseases and rheumatologist in the United States during the COVID-19 pandemic: evidence from Google Trends. Rheumatology International 2021;41(2):329
CrossRef -
Hernández-García I, Giménez-Júlvez T. YouTube as a Source of Influenza Vaccine Information in Spanish. International Journal of Environmental Research and Public Health 2021;18(2):727
CrossRef -
Hockenhull J, Black JC, Bletz A, Margolin Z, Olson R, Wood DM, Dart RC, Dargan PI. An evaluation of online discussion relating to nonmedical use of prescription opioids within the UK. British Journal of Clinical Pharmacology 2021;87(4):1637
CrossRef -
Lam TK, Spitz M, Schully SD, Khoury MJ. “Drivers” of Translational Cancer Epidemiology in the 21st Century: Needs and Opportunities. Cancer Epidemiology, Biomarkers & Prevention 2013;22(2):181
CrossRef -
Kaufman MR, Bazell AT, Collaco A, Sedoc J. “This show hits really close to home on so many levels”: An analysis of Reddit comments about HBO’s Euphoria to understand viewers’ experiences of and reactions to substance use and mental illness. Drug and Alcohol Dependence 2021;220:108468
CrossRef -
Adelhoefer S, Henry TS, Blankstein R, Graham G, Blaha MJ, Dzaye O. Declining interest in clinical imaging during the COVID-19 pandemic: An analysis of Google Trends data. Clinical Imaging 2021;73:20
CrossRef -
Balsamo D, Bajardi P, Salomone A, Schifanella R. Patterns of Routes of Administration and Drug Tampering for Nonmedical Opioid Consumption: Data Mining and Content Analysis of Reddit Discussions. Journal of Medical Internet Research 2021;23(1):e21212
CrossRef -
Asamoah DA, Sharda R. What should I believe? Exploring information validity on social network platforms. Journal of Business Research 2021;122:567
CrossRef -
Greenspan RL, Loftus EF. Pandemics and infodemics: Research on the effects of misinformation on memory. Human Behavior and Emerging Technologies 2021;3(1):8
CrossRef -
Singh T, Roberts K, Cohen T, Cobb N, Wang J, Fujimoto K, Myneni S. Social Media as a Research Tool (SMaaRT) for Risky Behavior Analytics: Methodological Review. JMIR Public Health and Surveillance 2020;6(4):e21660
CrossRef -
Rodríguez-González A, Tuñas JM, Prieto Santamaría L, Fernández Peces-Barba D, Menasalvas Ruiz E, Jaramillo A, Cotarelo M, Conejo Fernández AJ, Arce A, Gil A. Identifying Polarity in Tweets from an Imbalanced Dataset about Diseases and Vaccines Using a Meta-Model Based on Machine Learning Techniques. Applied Sciences 2020;10(24):9019
CrossRef -
Sousa-Pinto B, Heffler E, Antó A, Czarlewski W, Bedbrook A, Gemicioglu B, Canonica GW, Antó JM, Fonseca JA, Bousquet J. Anomalous asthma and chronic obstructive pulmonary disease Google Trends patterns during the COVID-19 pandemic. Clinical and Translational Allergy 2020;10(1)
CrossRef -
Rovetta A, Castaldo L. The Impact of COVID-19 on Italian Web Users: A Quantitative Analysis of Regional Hygiene Interest and Emotional Response. Cureus 2020;
CrossRef -
Saposnik FE, Huber JF. Trends in Web Searches About the Causes and Treatments of Autism Over the Past 15 Years: Exploratory Infodemiology Study. JMIR Pediatrics and Parenting 2020;3(2):e20913
CrossRef -
Benis A, Tamburis O, Chronaki C, Moen A. One Digital Health: A Unified Framework for Future Health Ecosystems. Journal of Medical Internet Research 2021;23(2):e22189
CrossRef -
Zanville N, Cohen B, Gray T, Phillips J, Linder L, Starkweather A, Yeager K, Cooley M. The Oncology Nursing Society Rapid Review and Research Priorities for Cancer Care in the Context of COVID-19. Oncology Nursing Forum 2021;48(2):131
CrossRef -
Chapman GE, Ishlek I, Spoors J. Google search behaviour relating to perinatal mental wellbeing during the United Kingdom’s first COVID-19 lockdown period: a warning for future restrictions. Archives of Women's Mental Health 2021;24(4):681
CrossRef -
Mirza E, Mirza GD, Belviranli S, Oltulu R, Okka M. Ocular-symptoms-related Google Search Trends during the COVID-19 Pandemic in Europe. International Ophthalmology 2021;41(6):2213
CrossRef -
Hönings H, Knapp D, Nguyễn BC, Richter D, Williams K, Dorsch I, Fietkiewicz KJ. Health information diffusion on Twitter: The content and design of WHO tweets matter. Health Information & Libraries Journal 2022;39(1):22
CrossRef -
Prieto Santamaría L, Tuñas JM, Fernández Peces-Barba D, Jaramillo A, Cotarelo M, Menasalvas E, Conejo Fernández A, Arce A, Gil de Miguel A, Rodríguez González A. Influenza and Measles-MMR: two case study of the trend and impact of vaccine-related Twitter posts in Spanish during 2015-2018. Human Vaccines & Immunotherapeutics 2022;18(1):1
CrossRef -
Lampos V, Majumder MS, Yom-Tov E, Edelstein M, Moura S, Hamada Y, Rangaka MX, McKendry RA, Cox IJ. Tracking COVID-19 using online search. npj Digital Medicine 2021;4(1)
CrossRef -
Bour C, Ahne A, Schmitz S, Perchoux C, Dessenne C, Fagherazzi G. The Use of Social Media for Health Research Purposes: Scoping Review. Journal of Medical Internet Research 2021;23(5):e25736
CrossRef -
Crampton AL, Pearce N, Ragusa AT, Dick Haynes R. Using Infoveillance to Identify Community Concerns/Literacy, Reduce Risk, and Improve Response in Pollution and Health Emergencies. E3S Web of Conferences 2021;241:03002
CrossRef -
Rutovic S, Fumagalli AI, Lutsenko I, Corea F. Public Interest in Neurological Diseases on Wikipedia during Coronavirus Disease (COVID-19) Pandemic. Neurology International 2021;13(1):59
CrossRef -
Liu W, Wei Z, Cheng X, Pang R, Zhang H, Li G. Public Interest in Cosmetic Surgical and Minimally Invasive Plastic Procedures During the COVID-19 Pandemic: Infodemiology Study of Twitter Data. Journal of Medical Internet Research 2021;23(3):e23970
CrossRef -
Reuter K, Lee D. Perspectives Toward Seeking Treatment Among Patients With Psoriasis: Protocol for a Twitter Content Analysis. JMIR Research Protocols 2021;10(2):e13731
CrossRef -
Huynh Dagher S, Lamé G, Hubiche T, Ezzedine K, Duong TA. The Influence of Media Coverage and Governmental Policies on Google Queries Related to COVID-19 Cutaneous Symptoms: Infodemiology Study. JMIR Public Health and Surveillance 2021;7(2):e25651
CrossRef -
Garett R, Young SD. Digital Public Health Surveillance Tools for Alcohol Use and HIV Risk Behaviors. AIDS and Behavior 2021;25(S3):333
CrossRef -
Bour C, Schmitz S, Ahne A, Perchoux C, Dessenne C, Fagherazzi G. Scoping review protocol on the use of social media for health research purposes. BMJ Open 2021;11(2):e040671
CrossRef -
Dixon BE, Mukherjee S, Wiensch A, Gray ML, Ferres JML, Grannis SJ. Capturing COVID-19–Like Symptoms at Scale Using Banner Ads on an Online News Platform: Pilot Survey Study. Journal of Medical Internet Research 2021;23(5):e24742
CrossRef -
Goadsby PJ, Lantéri-Minet M, Michel MC, Peres M, Shibata M, Straube A, Wijeratne T, Ebel-Bitoun C, Constantin L, Hitier S. 21st century headache: mapping new territory. The Journal of Headache and Pain 2021;22(1)
CrossRef -
Pulido-Polo M, Hernández-Santaolalla V, Lozano-González A. Uso institucional de Twitter para combatir la infodemia causada por la crisis sanitaria de la Covid-19. El profesional de la información 2021;
CrossRef -
Dzaye O, Berning P, Adelhoefer S, Duebgen M, Blankstein R, Mahesh M, Nasir K, Blumenthal RS, Mortensen MB, Blaha MJ. Temporal Trends and Interest in Coronary Artery Calcium Scoring Over Time: An Infodemiology Study. Mayo Clinic Proceedings: Innovations, Quality & Outcomes 2021;5(2):456
CrossRef -
Arseneau ME, Backonja U, Litchman ML, Karimanfard R, Sheng X, Taylor-Swanson L. #Menopause on Instagram: a mixed-methods study. Menopause 2021;28(4):391
CrossRef -
Ciaffi J, Meliconi R, Landini MP, Mancarella L, Brusi V, Faldini C, Ursini F. Seasonality of Back Pain in Italy: An Infodemiology Study. International Journal of Environmental Research and Public Health 2021;18(3):1325
CrossRef -
Blouin Genest G, Sherrod R. Géographie virale des risques globaux : la circulation des risques sanitaires dans le contexte de la gouvernance globale de la santé. Revue francophone sur la santé et les territoires 2019;
CrossRef -
GOULBOURNE T, YANOVITZKY I. The Communication Infrastructure as a Social Determinant of Health: Implications for Health Policymaking and Practice. The Milbank Quarterly 2021;99(1):24
CrossRef -
Cuomo RE, Purushothaman VL, Li J, Bardier C, Nali M, Shah N, Obradovich N, Yang J, Mackey TK. Characterizing Self-Reported Tobacco, Vaping, and Marijuana-Related Tweets Geolocated for California College Campuses. Frontiers in Public Health 2021;9
CrossRef -
Reuter K, Deodhar A, Makri S, Zimmer M, Berenbaum F, Nikiphorou E. The impact of the COVID-19 pandemic on people with rheumatic and musculoskeletal diseases: insights from patient-generated data on social media. Rheumatology 2021;60(SI):SI77
CrossRef -
Liu S, Perdew M, Lithopoulos A, Rhodes RE. The Feasibility of Using Instagram Data to Predict Exercise Identity and Physical Activity Levels: Cross-sectional Observational Study. Journal of Medical Internet Research 2021;23(4):e20954
CrossRef -
Khan I, Saleh MA, Quazi A, Johns R. Health consumers’ social media adoption behaviours in Australia. Health Informatics Journal 2021;27(2):146045822110099
CrossRef -
Murayama T, Shimizu N, Fujita S, Wakamiya S, Aramaki E, Wen T. Predicting regional influenza epidemics with uncertainty estimation using commuting data in Japan. PLOS ONE 2021;16(4):e0250417
CrossRef -
Szilagyi I, Ullrich T, Lang-Illievich K, Klivinyi C, Schittek GA, Simonis H, Bornemann-Cimenti H. Google Trends for Pain Search Terms in the World’s Most Populated Regions Before and After the First Recorded COVID-19 Case: Infodemiological Study. Journal of Medical Internet Research 2021;23(4):e27214
CrossRef -
Cuomo RE, Purushothaman V, Li J, Cai M, Mackey TK. A longitudinal and geospatial analysis of COVID-19 tweets during the early outbreak period in the United States. BMC Public Health 2021;21(1)
CrossRef -
Schück S, Roustamal A, Gedik A, Voillot P, Foulquié P, Penfornis C, Job B. Assessing Patient Perceptions and Experiences of Paracetamol in France: Infodemiology Study Using Social Media Data Mining. Journal of Medical Internet Research 2021;23(7):e25049
CrossRef -
Fiks AG, Nekrasova E, Hambidge SJ. Health Systems as a Catalyst for Immunization Delivery. Academic Pediatrics 2021;21(4):S40
CrossRef -
Mangono T, Smittenaar P, Caplan Y, Huang VS, Sutermaster S, Kemp H, Sgaier SK. Information-Seeking Patterns During the COVID-19 Pandemic Across the United States: Longitudinal Analysis of Google Trends Data. Journal of Medical Internet Research 2021;23(5):e22933
CrossRef -
Wei S, Ma M, Wu C, Yu B, Jiang L, Wen X, Fu F, Shi M. Using Search Trends to Analyze Web-Based Interest in Lower Urinary Tract Symptoms-Related Inquiries, Diagnoses, and Treatments in Mainland China: Infodemiology Study of Baidu Index Data. Journal of Medical Internet Research 2021;23(7):e27029
CrossRef -
Srikanth N, Rana R, Singhal R, Jameela S, Singh R, Khanduri S, Tripathi A, Goel S, Chhatre L, Chandra A, Rao BCS, Dhiman KS. Mobile App–Reported Use of Traditional Medicine for Maintenance of Health in India During the COVID-19 Pandemic: Cross-sectional Questionnaire Study. JMIRx Med 2021;2(2):e25703
CrossRef -
Bunyan A, Venuturupalli S, Reuter K. Expressed Symptoms and Attitudes Toward Using Twitter for Health Care Engagement Among Patients With Lupus on Social Media: Protocol for a Mixed Methods Study. JMIR Research Protocols 2021;10(5):e15716
CrossRef -
Ho J, Hussain S, Sparagano O. Did the COVID-19 Pandemic Spark a Public Interest in Pet Adoption?. Frontiers in Veterinary Science 2021;8
CrossRef -
EL Azzaoui A, Singh SK, Park JH. SNS Big Data Analysis Framework for COVID-19 Outbreak Prediction in Smart Healthy City. Sustainable Cities and Society 2021;71:102993
CrossRef -
Chen J, Wang Y. Social Media Use for Health Purposes: Systematic Review. Journal of Medical Internet Research 2021;23(5):e17917
CrossRef -
. Infodemics and infodemiology: a short history, a long future. Revista Panamericana de Salud Pública 2021;45:1
CrossRef -
Khamisy-Farah R, Furstenau LB, Kong JD, Wu J, Bragazzi NL. Gynecology Meets Big Data in the Disruptive Innovation Medical Era: State-of-Art and Future Prospects. International Journal of Environmental Research and Public Health 2021;18(10):5058
CrossRef -
Ho Y, Tai Y, Chen L. COVID-19 Pandemic Analysis for a Country’s Ability to Control the Outbreak Using Little’s Law: Infodemiology Approach. Sustainability 2021;13(10):5628
CrossRef -
La Bella E, Allen C, Lirussi F. Communication vs evidence: What hinders the outreach of science during an infodemic? A narrative review. Integrative Medicine Research 2021;10(4):100731
CrossRef -
Nguyen AX, Trinh X, Wang SY, Wu AY. Determination of Patient Sentiment and Emotion in Ophthalmology: Infoveillance Tutorial on Web-Based Health Forum Discussions. Journal of Medical Internet Research 2021;23(5):e20803
CrossRef -
Jang B, Kim I, Kim JW. Effective Training Data Extraction Method to Improve Influenza Outbreak Prediction from Online News Articles: Deep Learning Model Study. JMIR Medical Informatics 2021;9(5):e23305
CrossRef -
Shaklai S, Gilad-Bachrach R, Yom-Tov E, Stern N. Detecting Impending Stroke From Cognitive Traits Evident in Internet Searches: Analysis of Archival Data. Journal of Medical Internet Research 2021;23(5):e27084
CrossRef -
Reddy KS, Mithani SS, Wilson L, Wilson K. Canada’s response to international travel during COVID-19 pandemic – a media analysis. BMC Public Health 2021;21(1)
CrossRef -
Rotter D, Doebler P, Schmitz F. Interests, Motives, and Psychological Burdens in Times of Crisis and Lockdown: Google Trends Analysis to Inform Policy Makers. Journal of Medical Internet Research 2021;23(6):e26385
CrossRef -
Purushothaman V, Li J, Mackey TK. Detecting Suicide and Self-Harm Discussions Among Opioid Substance Users on Instagram Using Machine Learning. Frontiers in Psychiatry 2021;12
CrossRef -
Wang C, Shu X, Tao J, Zhang Y, Yuan Y, Wu C, Jakovljevic M. Seasonal Variation and Global Public Interest in the Internet Searches for Osteoporosis. BioMed Research International 2021;2021:1
CrossRef -
Stern J, Georgsson S, Carlsson T. Quality of web-based information at the beginning of a global pandemic: a cross-sectional infodemiology study investigating preventive measures and self care methods of the coronavirus disease 2019. BMC Public Health 2021;21(1)
CrossRef -
Naik H, Johnson MDD, Johnson MR. Internet Interest in Colon Cancer Following the Death of Chadwick Boseman: Infoveillance Study. Journal of Medical Internet Research 2021;23(6):e27052
CrossRef -
Alvarez-Mon MA, de Anta L, Llavero-Valero M, Lahera G, Ortega MA, Soutullo C, Quintero J, Asunsolo del Barco A, Alvarez-Mon M. Areas of Interest and Attitudes towards the Pharmacological Treatment of Attention Deficit Hyperactivity Disorder: Thematic and Quantitative Analysis Using Twitter. Journal of Clinical Medicine 2021;10(12):2668
CrossRef -
Miller M, Romine W, Oroszi T. Public Discussion of Anthrax on Twitter: Using Machine Learning to Identify Relevant Topics and Events. JMIR Public Health and Surveillance 2021;7(6):e27976
CrossRef -
Xu R, Brown P, Baxter N, Sawka AM. Online Public Interest in Cancer During the COVID-19 Pandemic. JCO Clinical Cancer Informatics 2021;(5):695
CrossRef -
Perez JALS, Espiritu AI, Jamora RDG. Google search behavior for meningitis and its vaccines: an infodemiological study. BMC Neurology 2021;21(1)
CrossRef -
Bedson J, Skrip LA, Pedi D, Abramowitz S, Carter S, Jalloh MF, Funk S, Gobat N, Giles-Vernick T, Chowell G, de Almeida JR, Elessawi R, Scarpino SV, Hammond RA, Briand S, Epstein JM, Hébert-Dufresne L, Althouse BM. A review and agenda for integrated disease models including social and behavioural factors. Nature Human Behaviour 2021;5(7):834
CrossRef -
Wei S, Ma M, Wen X, Wu C, Zhu G, Zhou X. Online Public Attention Toward Premature Ejaculation in Mainland China: Infodemiology Study Using the Baidu Index. Journal of Medical Internet Research 2021;23(8):e30271
CrossRef -
Wang P, Xu Q, Cao R, Deng F, Lei S. Global Public Interests and Dynamic Trends in Osteoporosis From 2004 to 2019: Infodemiology Study. Journal of Medical Internet Research 2021;23(7):e25422
CrossRef -
Springer S, Zieger M, Strzelecki A. The rise of infodemiology and infoveillance during COVID-19 crisis. One Health 2021;13:100288
CrossRef -
Sousa-Pinto B, Halonen JI, Antó A, Jormanainen V, Czarlewski W, Bedbrook A, Papadopoulos NG, Freitas A, Haahtela T, Antó JM, Fonseca JA, Bousquet J. Prediction of Asthma Hospitalizations for the Common Cold Using Google Trends: Infodemiology Study. Journal of Medical Internet Research 2021;23(7):e27044
CrossRef -
Gai N, So D, Siddiqui A, Steinberg BE. Dissemination of Anesthesia Information During the Coronavirus Disease 2019 Pandemic Through Twitter: An Infodemiology Study. Anesthesia & Analgesia 2021;133(2):515
CrossRef -
Tozzi AE, Gesualdo F, Urbani E, Sbenaglia A, Ascione R, Procopio N, Croci I, Rizzo C. Digital Surveillance Through an Online Decision Support Tool for COVID-19 Over One Year of the Pandemic in Italy: Observational Study. Journal of Medical Internet Research 2021;23(8):e29556
CrossRef -
Lee EWJ, Bekalu MA, McCloud RF, Viswanath K. Toward an Extended Infodemiology Framework: Leveraging Social Media Data and Web Search Queries as Digital Pulse on Cancer Communication. Health Communication 2023;38(2):335
CrossRef -
Gao Z, Fujita S, Shimizu N, Liew K, Murayama T, Yada S, Wakamiya S, Aramaki E. Measuring Public Concern About COVID-19 in Japanese Internet Users Through Search Queries: Infodemiological Study. JMIR Public Health and Surveillance 2021;7(7):e29865
CrossRef -
Jong W, Liang OS, Yang CC. The Exchange of Informational Support in Online Health Communities at the Onset of the COVID-19 Pandemic: Content Analysis. JMIRx Med 2021;2(3):e27485
CrossRef -
Yu VG, Lasco G, David CC. Fear, mistrust, and vaccine hesitancy: Narratives of the dengue vaccine controversy in the Philippines. Vaccine 2021;39(35):4964
CrossRef -
Oto OA, Kardeş S, Guller N, Safak S, Dirim AB, Başhan Y, Demir E, Artan AS, Yazıcı H, Turkmen A. Impact of the COVID-19 pandemic on interest in renal diseases. Environmental Science and Pollution Research 2022;29(1):711
CrossRef -
Alshahrani R, Babour A. An Infodemiology and Infoveillance Study on COVID-19: Analysis of Twitter and Google Trends. Sustainability 2021;13(15):8528
CrossRef -
Purnat TD, Vacca P, Czerniak C, Ball S, Burzo S, Zecchin T, Wright A, Bezbaruah S, Tanggol F, Dubé , Labbé F, Dionne M, Lamichhane J, Mahajan A, Briand S, Nguyen T. Infodemic Signal Detection During the COVID-19 Pandemic: Development of a Methodology for Identifying Potential Information Voids in Online Conversations. JMIR Infodemiology 2021;1(1):e30971
CrossRef -
. The Impact of COVID-19 on Conspiracy Hypotheses and Risk Perception in Italy: Infodemiological Survey Study Using Google Trends. JMIR Infodemiology 2021;1(1):e29929
CrossRef -
Kostkova P, Saigí-Rubió F, Eguia H, Borbolla D, Verschuuren M, Hamilton C, Azzopardi-Muscat N, Novillo-Ortiz D. Data and Digital Solutions to Support Surveillance Strategies in the Context of the COVID-19 Pandemic. Frontiers in Digital Health 2021;3
CrossRef -
Pian W, Chi J, Ma F. The causes, impacts and countermeasures of COVID-19 “Infodemic”: A systematic review using narrative synthesis. Information Processing & Management 2021;58(6):102713
CrossRef -
Luo C, Ji K, Tang Y, Du Z. Exploring the Expression Differences Between Professionals and Laypeople Toward the COVID-19 Vaccine: Text Mining Approach. Journal of Medical Internet Research 2021;23(8):e30715
CrossRef -
Huang Y, Xu X, Su S. Diverging from News Media: An Exploratory Study on the Changing Dynamics between Media and Public Attention on Cancer in China from 2011–2020. International Journal of Environmental Research and Public Health 2021;18(16):8577
CrossRef -
. YouTube Videolarında Covid-19 Aşısı ve İnfodemi. Kastamonu İletişim Araştırmaları Dergisi 2022;(9):179
CrossRef -
Gunasekeran DV, Chew A, Chandrasekar EK, Rajendram P, Kandarpa V, Rajendram M, Chia A, Smith H, Leong CK. The Impact and Applications of Social Media Platforms for Public Health Responses Before and During the COVID-19 Pandemic: Systematic Literature Review. Journal of Medical Internet Research 2022;24(4):e33680
CrossRef -
Jin P, Zhao Q, Zang Y, Zhang Q, Shen C, Zhang H, Zhang H, Zhi L. A Google Trends analysis revealed global public interest and awareness of nasal polyps. European Archives of Oto-Rhino-Laryngology 2023;280(6):2831
CrossRef -
. Current World Literature. Current Opinion in Allergy & Clinical Immunology 2010;10(3):267
CrossRef -
Köksal S, Pesando LM, Rotondi V, Şanlıtürk E. Harnessing the Potential of Google Searches for Understanding Dynamics of Intimate Partner Violence Before and After the COVID-19 Outbreak. European Journal of Population 2022;38(3):517
CrossRef -
Khosrowjerdi M, Fylking CB, Zeraatkar N. Online information seeking during the COVID-19 pandemic: A cross-country analysis. IFLA Journal 2023;49(2):328
CrossRef -
Pilati F, Gallotti R, Sacco PL. The link between reported cases of COVID-19 and the Infodemic Risk Index: A worldwide perspective. Frontiers in Sociology 2023;7
CrossRef -
Said Abasse K, Toulouse-Fournier A, Paquet C, Côté A, Smith PY, Bergeron F, Archambault P. Collaborative writing applications in support of knowledge translation and management during pandemics: A scoping review. International Journal of Medical Informatics 2022;165:104814
CrossRef -
Amusa LB, Twinomurinzi H, Okonkwo CW. Modeling COVID-19 incidence with Google Trends. Frontiers in Research Metrics and Analytics 2022;7
CrossRef -
Altunisik E, Firat YE, Kiyak Keceli Y. Content and quality analysis of videos about multiple sclerosis on social media: The case of YouTube. Multiple Sclerosis and Related Disorders 2022;65:104024
CrossRef -
Näher A, Vorisek CN, Klopfenstein SAI, Lehne M, Thun S, Alsalamah S, Pujari S, Heider D, Ahrens W, Pigeot I, Marckmann G, Jenny MA, Renard BY, von Kleist M, Wieler LH, Balzer F, Grabenhenrich L. Secondary data for global health digitalisation. The Lancet Digital Health 2023;5(2):e93
CrossRef -
Zhou X, Li Y. Forecasting the COVID-19 vaccine uptake rate: an infodemiological study in the US. Human Vaccines & Immunotherapeutics 2022;18(1)
CrossRef -
Liu J, Wright C, Williams P, Elizarova O, Dahne J, Bian J, Zhao Y, Tan ASL. Smokers’ Likelihood to Engage With Information and Misinformation on Twitter About the Relative Harms of e-Cigarette Use: Results From a Randomized Controlled Trial. JMIR Public Health and Surveillance 2021;7(12):e27183
CrossRef -
Lin L, Song Y, Wang Q, Pu J, Sun FY, Zhang Y, Zhou X, Larson HJ, Hou Z. Public Attitudes and Factors of COVID-19 Testing Hesitancy in the United Kingdom and China: Comparative Infodemiology Study. JMIR Infodemiology 2021;1(1):e26895
CrossRef -
Deiner MS, Seitzman GD, Kaur G, McLeod SD, Chodosh J, Lietman TM, Porco TC. Sustained Reductions in Online Search Interest for Communicable Eye and Other Conditions During the COVID-19 Pandemic: Infodemiology Study. JMIR Infodemiology 2022;2(1):e31732
CrossRef -
Roemmich K, Andalibi N. Data Subjects' Conceptualizations of and Attitudes Toward Automatic Emotion Recognition-Enabled Wellbeing Interventions on Social Media. Proceedings of the ACM on Human-Computer Interaction 2021;5(CSCW2):1
CrossRef -
Berning P, Maybody M, Deipolyi AR, Solomon SB, Dzaye O. Internet Search Trends Relevant to Interventional Oncology: A Google Trends Study (2004–2020). Journal of Vascular and Interventional Radiology 2021;32(10):1445
CrossRef -
Sanz-Lorente M, Moles-Caballero N, Wanden-Berghe C, Sanz-Valero J. Documentary quality versus veracity of information of the websites on syphilis and gonorrhea. Scientometrics 2021;126(11):8775
CrossRef -
Gong X, Hou M, Han Y, Liang H, Guo R. Application of the Internet Platform in Monitoring Chinese Public Attention to the Outbreak of COVID-19. Frontiers in Public Health 2022;9
CrossRef -
Bartmess M, Talbot C, O’Dwyer ST, Lopez RP, Rose KM, Anderson JG. Using Twitter to understand perspectives and experiences of dementia and caregiving at the beginning of the COVID-19 pandemic. Dementia 2022;21(5):1734
CrossRef -
Kłak A, Grygielska J, Mańczak M, Ejchman-Pac E, Owoc J, Religioni U, Olszewski R. Online Information of COVID-19: Visibility and Characterization of Highest Positioned Websites by Google between March and April 2020—A Cross-Country Analysis. International Journal of Environmental Research and Public Health 2022;19(3):1491
CrossRef -
Gong F, Gassmann K, Gong S, Barlog J, Winer A. An Analysis of Google Trends During COVID-19: Determining Public Urological Cancer Concerns. Cureus 2022;
CrossRef -
Ilias I, Milionis C, Koukkou E. COVID-19 and thyroid disease: An infodemiological pilot study. World Journal of Methodology 2022;12(3):99
CrossRef -
Lee EWJ, Zheng H, Goh DH, Lee CS, Theng Y. Examining COVID-19 Tweet Diffusion Using an Integrated Social Amplification of Risk and Issue-Attention Cycle Framework. Health Communication 2024;39(3):493
CrossRef -
Zieger M, Strzelecki A, Springer S. Public awareness for “classic” childhood diseases and inflammatory syndromes in children during the COVID-19 pandemic. Journal of Pediatric Nursing 2022;66:191
CrossRef -
Beliga S, Martinčić-Ipšić S, Matešić M, Petrijevčanin Vuksanović I, Meštrović A. Infoveillance of the Croatian Online Media During the COVID-19 Pandemic: One-Year Longitudinal Study Using Natural Language Processing. JMIR Public Health and Surveillance 2021;7(12):e31540
CrossRef -
Vasconcelos Silva C, Jayasinghe D, Janda M. What Can Twitter Tell Us about Skin Cancer Communication and Prevention on Social Media?. Dermatology 2020;236(2):81
CrossRef -
Agudelo-Londoño SM, Núñez Avilés CA. Discusión en redes sociales sobre el rastreo digital de contactos para COVID-19: retos para la salud pública desde Colombia. Gerencia y Políticas de Salud 2022;20:1
CrossRef -
Traboco L, Pandian H, Nikiphorou E, Gupta L. Designing Infographics: Visual Representations for Enhancing Education, Communication, and Scientific Research. Journal of Korean Medical Science 2022;37(27)
CrossRef -
Al‐Qahtani AF, Cresci S. The COVID‐19 scamdemic: A survey of phishing attacks and their countermeasures during COVID‐19. IET Information Security 2022;16(5):324
CrossRef -
Andreou A, Dhand A, Vassilev I, Griffiths C, Panzarasa P, De Simoni A. Understanding Online and Offline Social Networks in Illness Management of Older Patients With Asthma and Chronic Obstructive Pulmonary Disease: Mixed Methods Study Using Quantitative Social Network Assessment and Qualitative Analysis. JMIR Formative Research 2022;6(5):e35244
CrossRef -
Purushothaman V, McMann T, Li Z, Cuomo R, Mackey T. Content and trend analysis of user-generated nicotine
sickness tweets: A retrospective infoveillance study. Tobacco Induced Diseases 2022;20(March):1
CrossRef -
Di Simone E, Panattoni N, De Giorgi A, Rodríguez-Muñoz P, Bondanelli M, Rodríguez-Cortés F, López-Soto P, Giannetta N, Dionisi S, Di Muzio M, Fabbian F. Googling Insomnia, Light, Metabolism, and Circadian: A Population Interest Simple Report. Brain Sciences 2022;12(12):1683
CrossRef -
. Integrating uncertainties through participatory approaches: On the burden of cognitive exclusion and infodemic in a post-normal pandemic. Futures 2022;136:102888
CrossRef -
Piamonte BLC, Anlacan VMM, Jamora RDG, Espiritu AI. Googling Alzheimer Disease: An Infodemiological and Ecological Study. Dementia and Geriatric Cognitive Disorders Extra 2021;11(3):333
CrossRef -
Wang Y, Gao Z, Lv H, Xu Y. Online public attention toward allergic rhinitis in Wuhan, China: Infodemiology study using Baidu index and meteorological data. Frontiers in Public Health 2022;10
CrossRef -
Sycinska-Dziarnowska M, Bielawska-Victorini H, Budzyńska A, Woźniak K. Reply to Livas, C.; Delli, K. Comment on “Sycinska-Dziarnowska et al. The Implications of the COVID-19 Pandemic on the Interest in Orthodontic Treatment and Perspectives for the Future. Real-Time Surveillance Using Google Trends. Int. J. Environ. Res. Public Health 2021, 18, 5647”. International Journal of Environmental Research and Public Health 2021;18(23):12840
CrossRef -
Hagen L, Fox A, O'Leary H, Dyson D, Walker K, Lengacher CA, Hernandez R. The Role of Influential Actors in Fostering the Polarized COVID-19 Vaccine Discourse on Twitter: Mixed Methods of Machine Learning and Inductive Coding. JMIR Infodemiology 2022;2(1):e34231
CrossRef -
Xu Y, Margolin D. Collective Information Seeking During a Health Crisis : Predictors of Google Trends During COVID-19. Health Communication 2024;39(2):388
CrossRef -
Teodoro D, Ferdowsi S, Borissov N, Kashani E, Vicente Alvarez D, Copara J, Gouareb R, Naderi N, Amini P. Information Retrieval in an Infodemic: The Case of COVID-19 Publications. Journal of Medical Internet Research 2021;23(9):e30161
CrossRef -
Chen E, Jiang J, Chang HH, Muric G, Ferrara E. Charting the Information and Misinformation Landscape to Characterize Misinfodemics on Social Media: COVID-19 Infodemiology Study at a Planetary Scale. JMIR Infodemiology 2022;2(1):e32378
CrossRef -
Palomo-Llinares R, Sánchez-Tormo J, Wanden-Berghe C, Sanz-Valero J. Trends and Seasonality of Information Searches Carried Out through Google on Nutrition and Healthy Diet in Relation to Occupational Health: Infodemiological Study. Nutrients 2021;13(12):4300
CrossRef -
Gradon K, Moy WR. COVID-19 Response – Lessons from Secret Intelligence Failures. The International Journal of Intelligence, Security, and Public Affairs 2021;23(3):161
CrossRef -
. SAĞLIK MEZENFORMASYONU: ÇEVRİMİÇİ KANALLARDAN YAYILAN YANLIŞ BİLGİ SALGINI. Öneri Dergisi 2022;17(57):73
CrossRef -
Ma MZ, Ye S. Coronavirus-Related Searches on the Internet Predict COVID-19 Vaccination Rates in the Real World: A Behavioral Immune System Perspective. Social Psychological and Personality Science 2023;14(5):572
CrossRef -
Piltch-Loeb R, Su M, Hughes B, Testa M, Goldberg B, Braddock K, Miller-Idriss C, Maturo V, Savoia E. Testing the Efficacy of Attitudinal Inoculation Videos to Enhance COVID-19 Vaccine Acceptance: Quasi-Experimental Intervention Trial. JMIR Public Health and Surveillance 2022;8(6):e34615
CrossRef -
Riddell CA, Neumann K, Santaularia NJ, Farkas K, Ahern J, Mason SM. Excess Google Searches for Child Abuse and Intimate Partner Violence During the COVID-19 Pandemic: Infoveillance Approach. Journal of Medical Internet Research 2022;24(6):e36445
CrossRef -
Aslani N, Behmanesh A, Davoodi F, Garavand A, Shams R. Infodemic Challenges During COVID-19 Pandemic and the Strategies to Deal with Them: A Review Article. Archives of Clinical Infectious Diseases 2022;17(1)
CrossRef -
Elbarazi I, Saddik B, Grivna M, Aziz F, Elsori D, Stip E, Bendak E. The Impact of the COVID-19 “Infodemic” on Well-Being: A Cross-Sectional Study. Journal of Multidisciplinary Healthcare 2022;Volume 15:289
CrossRef -
Kim M, Noh Y, Yamada A, Hong SH. Comparison of the Erectile Dysfunction Drugs Sildenafil and Tadalafil Using Patient Medication Reviews: Topic Modeling Study. JMIR Medical Informatics 2022;10(2):e32689
CrossRef -
Ackleh-Tingle JV, Jordan NM, Onwubiko UN, Chandra C, Harton PE, Rentmeester ST, Chamberlain AT. Prevalence and Correlates of COVID-19 Vaccine Information on Family Medicine Practices’ Websites in the United States: Cross-sectional Website Content Analysis. JMIR Formative Research 2022;6(11):e38425
CrossRef -
Chandy P, Rebekah J G, Jeya Rani K. A, Kanthi. K E, Sathianathan. P, Walling KI, Varghese Pulikkottil A. Global COVID 19 distribution and its association with the selected demographic variables of the countries: A Cross-sectional Infodemiological approach at 10th month of Pandemic. International Journal of Nursing Education and Research 2022;:99
CrossRef -
Kaatz M, Springer S, Zieger M. Influence of the COVID-19 pandemic measures on incidence and representation of other infectious diseases in Germany: a lesson to be learnt. Journal of Public Health 2023;31(10):1673
CrossRef -
Leininger LJ, Albrecht SS, Buttenheim A, Dowd JB, Ritter AZ, Simanek AM, Valentino M, Jones M. Fight Like a Nerdy Girl: The Dear Pandemic Playbook for Combating Health Misinformation. American Journal of Health Promotion 2022;36(3):563
CrossRef -
Jiang S, You C, Zhang S, Chen F, Peng G, Liu J, Xie D, Li Y, Guo X. Using search trends to analyze web-based users’ behavior profiles connected with COVID-19 in mainland China: infodemiology study based on hot words and Baidu Index. PeerJ 2022;10:e14343
CrossRef -
Tabeeva GR, Katsarava Z, Amelin AV, Sergeev AV, Skorobogatykh KV, Efimenko IV, Khoroshevskiy VF. New in understanding the burden of migraine: semantic analysis of the voice of Russian patients – users of Web 2.0. Neurology, Neuropsychiatry, Psychosomatics 2021;13(6):73
CrossRef -
Gao Y, Xie Z, Sun L, Xu C, Li D. Characteristics of and User Engagement With Antivaping Posts on Instagram: Observational Study. JMIR Public Health and Surveillance 2021;7(11):e29600
CrossRef -
Uehara M, Fujita S, Shimizu N, Liew K, Wakamiya S, Aramaki E. Measuring concerns about the COVID-19 vaccine among Japanese internet users through search queries. Scientific Reports 2022;12(1)
CrossRef -
d'Andrea V, Artime O, Castaldo N, Sacco P, Gallotti R, De Domenico M. Epidemic proximity and imitation dynamics drive infodemic waves during the COVID-19 pandemic. Physical Review Research 2022;4(1)
CrossRef -
Calac AJ, McMann T, Cai M, Li J, Cuomo R, Mackey TK. Exploring substance use disorder discussions in Native American communities: a retrospective Twitter infodemiology study. Harm Reduction Journal 2022;19(1)
CrossRef -
Madden KM, Feldman B. Anosmia-related internet search and the course of the first wave of the COVID-19 pandemic in the United States. Heliyon 2021;7(12):e08499
CrossRef -
Cooray N, Sun SL, Adams S, Keay L, Nassar N, Brown J. Exploring Infant Fall Events Using Online Parenting Discussion Forums: Infodemiology Study. JMIR Pediatrics and Parenting 2022;5(2):e34413
CrossRef -
. Mass media and social media during COVID-19: A review. Journal of Dr. NTR University of Health Sciences 2021;10(3):129
CrossRef -
Iyamu I, Apantaku G, Yesufu Z, Oladele EA, Eboreime E, Afirima B, Okechukwu E, Kibombwe GI, Oladele T, Tafuma T, Badejo O, Ashiono E, Mpofu M. Is social media, as a main source of information on COVID-19, associated with perceived effectiveness of face mask use? Findings from six sub-Saharan African countries. Global Health Promotion 2022;29(3):86
CrossRef -
Silvestro M, Orologio I, Tartaglione L, Sozio P, Siciliano M, Trojsi F, Tessitore A, Tedeschi G, Russo A. Infodemiology of cluster headache seasonality: A proof of concept by a Google Trends analysis. Headache: The Journal of Head and Face Pain 2023;63(1):89
CrossRef -
Kwon J, Grady C, Feliciano JT, Fodeh SJ. Defining facets of social distancing during the COVID-19 pandemic: Twitter analysis. Journal of Biomedical Informatics 2020;111:103601
CrossRef -
Sousa‐Pinto B, Antó JM, Sheikh A, de Lusignan S, Haahtela T, Fonseca JA, Bousquet J. Comparison of epidemiologic surveillance and Google Trends data on asthma and allergic rhinitis in England. Allergy 2022;77(2):675
CrossRef -
. Global monitoring of public interest in preventive measures against COVID-19 via analysis of Google Trends: an infodemiology and infoveillance study. BMJ Open 2022;12(8):e060715
CrossRef -
Zhai S, Li YJ, Chi M. The Impact of Government Social Media Information Quality on Public Panic During the Infodemic. Frontiers in Psychology 2022;13
CrossRef -
Galbraith E, Li J, Rio-Vilas VJD, Convertino M. In.To. COVID-19 socio-epidemiological co-causality. Scientific Reports 2022;12(1)
CrossRef -
Condamina M, Penso L, Tran V, Hotz C, Guillem P, Villani A, Perrot P, Bru M, Jacquet E, Nassif A, Bachelez H, Wolkenstein P, Beylot-Barry M, Richard M, Ravaud P, Viguier M, Sbidian E. Baseline Characteristics of a National French E-Cohort of Hidradenitis Suppurativa in ComPaRe and Comparison with Other Large Hidradenitis Suppurativa Cohorts. Dermatology 2021;237(5):748
CrossRef -
Burgess R, Feliciano JT, Lizbinski L, Ransome Y. Trends and Characteristics of #HIVPrevention Tweets Posted Between 2014 and 2019: Retrospective Infodemiology Study. JMIR Public Health and Surveillance 2022;8(8):e35937
CrossRef -
Chew R, Wenger M, Guillory J, Nonnemaker J, Kim A. Identifying Electronic Nicotine Delivery System Brands and Flavors on Instagram: Natural Language Processing Analysis. Journal of Medical Internet Research 2022;24(1):e30257
CrossRef -
Widyasari V, Putra KT, Wang J. Community Curiosity on COVID-19 Based on Google Trends in Indonesia: An Infodemic Study. Journal of Consumer Health on the Internet 2022;26(1):48
CrossRef -
Iyamu I, Gómez-Ramírez O, Xu AX, Chang H, Watt S, Mckee G, Gilbert M. Challenges in the development of digital public health interventions and mapped solutions: Findings from a scoping review. DIGITAL HEALTH 2022;8:205520762211022
CrossRef -
Momynaliev K, Khoroshun D, Akimkin V. Online queries as a criterion for evaluating epidemiological status and effectiveness of COVID-19 control measures in Russia: results from Yandex.Wordstat analysis. BMJ Open 2022;12(7):e056716
CrossRef -
Oh S, Lee C, Park A. Trust Matters: The Effects of Social Media Use on the Public’s Health Policy Support Through (mis)beliefs in the Context of HPV Vaccination. Health Communication 2023;38(12):2628
CrossRef -
Durach F, Buturoiu R, Craiu D, Cazacu C, Bargaoanu A. Crisis of confidence in vaccination and the role of social media. European Journal of Paediatric Neurology 2022;36:84
CrossRef -
Riccò M, Baldassarre A, Provenzano S, Corrado S, Cerviere MP, Parisi S, Marchesi F, Bottazzoli M. Infodemiology of RSV in Italy (2017–2022): An Alternative Option for the Surveillance of Incident Cases in Pediatric Age?. Children 2022;9(12):1984
CrossRef -
Etta G, Galeazzi A, Hutchings JR, James Smith CS, Conti M, Quattrociocchi W, Riva GVD, Jalloh MF. COVID-19 infodemic on Facebook and containment measures in Italy, United Kingdom and New Zealand. PLOS ONE 2022;17(5):e0267022
CrossRef -
Niu Q, Liu J, Zhao Z, Onishi M, Kawaguchi A, Bandara A, Harada K, Aoyama T, Nagai-Tanima M. Explanation of hand, foot, and mouth disease cases in Japan using Google Trends before and during the COVID-19: infodemiology study. BMC Infectious Diseases 2022;22(1)
CrossRef -
Guendelman S, Pleasants E, Cheshire C, Kong A. Exploring Google Searches for Out-of-Clinic Medication Abortion in the United States During 2020: Infodemiology Approach Using Multiple Samples. JMIR Infodemiology 2022;2(1):e33184
CrossRef -
Bağcı N, Peker I. Interest in dentistry in early months of the COVID‐19 global pandemic: A Google Trends approach. Health Information & Libraries Journal 2022;39(3):284
CrossRef -
Roberto KT, Jamora RDG, Moalong KMC, Espiritu AI. Infodemiology of autoimmune encephalitis, autoimmune seizures, and autoimmune epilepsy: An analysis of online search behavior using Google Trends. Epilepsy & Behavior 2022;132:108730
CrossRef -
Kłak A, Furmańczyk K, Nowicka P, Mańczak M, Barańska A, Religioni U, Siekierska A, Ambroziak M, Chłopek M. The Relationship between Searches for COVID-19 Vaccines and Dynamics of Vaccinated People in Poland: An Infodemiological Study. International Journal of Environmental Research and Public Health 2022;19(20):13275
CrossRef -
Lan Y, Wu S, Lin Y. Utilizing Internet Search Volume to Monitor Stages of Change in Vaccine Hesitancy During the COVID-19 Outbreaks. Frontiers in Public Health 2022;10
CrossRef -
Liu Z, Jiang Z, Kip G, Snigdha K, Xu J, Wu X, Khan N, Schultz T. An infodemiological framework for tracking the spread of SARS-CoV-2 using integrated public data. Pattern Recognition Letters 2022;158:133
CrossRef -
Ricard BJ, Hassanpour S. Deep Learning for Identification of Alcohol-Related Content on Social Media (Reddit and Twitter): Exploratory Analysis of Alcohol-Related Outcomes. Journal of Medical Internet Research 2021;23(9):e27314
CrossRef -
Xu Q, Nali MC, McMann T, Godinez H, Li J, He Y, Cai M, Lee C, Merenda C, Araojo R, Mackey TK. Unsupervised Machine Learning to Detect and Characterize Barriers to Pre-exposure Prophylaxis Therapy: Multiplatform Social Media Study. JMIR Infodemiology 2022;2(1):e35446
CrossRef -
. Google Trends as a Predictive Tool for COVID-19 Vaccinations in Italy: Retrospective Infodemiological Analysis. JMIRx Med 2022;3(2):e35356
CrossRef -
Deiner MS, Kaur G, McLeod SD, Schallhorn JM, Chodosh J, Hwang DH, Lietman TM, Porco TC. A Google Trends Approach to Identify Distinct Diurnal and Day-of-Week Web-Based Search Patterns Related to Conjunctivitis and Other Common Eye Conditions: Infodemiology Study. Journal of Medical Internet Research 2022;24(7):e27310
CrossRef -
Dey V, Krasniak P, Nguyen M, Lee C, Ning X. A Pipeline to Understand Emerging Illness Via Social Media Data Analysis: Case Study on Breast Implant Illness. JMIR Medical Informatics 2021;9(11):e29768
CrossRef -
Kanmodi K, Abolade O, Amzat J, Nnyanzi L. Analysis of Global Search and Research Interests on Dentists Using Infoveillance and Bibliometric Approaches. Oral 2022;3(1):11
CrossRef -
. Knowing Well, Being Well: well-being born of understanding: The Urgent Need for Coordinated and Comprehensive Efforts to Combat Misinformation. American Journal of Health Promotion 2022;36(3):559
CrossRef -
Rovetta A, Castaldo L. Are We Sure We Fully Understand What an Infodemic Is? A Global Perspective on Infodemiological Problems. JMIRx Med 2022;3(3):e36510
CrossRef -
Young LE, Tang JL, Nan Y. Social Media Communication and Network Correlates of HIV Infection and Transmission Risks Among Black Sexual Minority Men: Cross-sectional Digital Epidemiology Study. JMIR Formative Research 2022;6(10):e37982
CrossRef -
Ma MZ, Ye S. The COVID-19 pandemic and seeking information about condoms online: an infodemiology approach. Psychology & Health 2023;38(9):1128
CrossRef -
Gillis T, Garrison S. Confounding Effect of Undergraduate Semester–Driven “Academic" Internet Searches on the Ability to Detect True Disease Seasonality in Google Trends Data: Fourier Filter Method Development and Demonstration. JMIR Infodemiology 2022;2(2):e34464
CrossRef -
Bojo-Canales C, Sanz-Lorente M, Sanz-Valero J. Tendencias de las búsquedas de información sobre las colecciones SciELO, Redalyc y Dialnet realizadas a través de Google. Revista Española de Documentación Científica 2021;44(2):e294
CrossRef -
Cano-Marin E, Mora-Cantallops M, Sanchez-Alonso S. The power of big data analytics over fake news: A scientometric review of Twitter as a predictive system in healthcare. Technological Forecasting and Social Change 2023;190:122386
CrossRef -
d’Andrea V, Gallotti R, Castaldo N, De Domenico M, Moreno Y. Individual risk perception and empirical social structures shape the dynamics of infectious disease outbreaks. PLOS Computational Biology 2022;18(2):e1009760
CrossRef -
. A Case of Pharmaceutical Messianism Amidst the COVID-19 Pandemic: An Infodemiological Study of Ivermectin in the Philippines. Policy, Politics, & Nursing Practice 2023;24(1):17
CrossRef -
Lee IT, Juang S, Chen ST, Ko C, Ma KS. Sentiment analysis of tweets on alopecia areata, hidradenitis suppurativa, and psoriasis: Revealing the patient experience. Frontiers in Medicine 2022;9
CrossRef -
An L, Russell DM, Mihalcea R, Bacon E, Huffman S, Resnicow K. Online Search Behavior Related to COVID-19 Vaccines: Infodemiology Study. JMIR Infodemiology 2021;1(1):e32127
CrossRef -
Jiang LC, Chu TH, Sun M. Characterization of Vaccine Tweets During the Early Stage of the COVID-19 Outbreak in the United States: Topic Modeling Analysis. JMIR Infodemiology 2021;1(1):e25636
CrossRef -
Pereira-Sanchez V, Alvarez-Mon MA, Horinouchi T, Kawagishi R, Tan MPJ, Hooker ER, Alvarez-Mon M, Teo AR. Examining Tweet Content and Engagement of Users With Tweets About Hikikomori in Japanese: Mixed Methods Study of Social Withdrawal. Journal of Medical Internet Research 2022;24(1):e31175
CrossRef -
Cano-Marin E, Mora-Cantallops M, Sánchez-Alonso S. Twitter as a predictive system: A systematic literature review. Journal of Business Research 2023;157:113561
CrossRef -
ElSherief M, Sumner SA, Jones CM, Law RK, Kacha-Ochana A, Shieber L, Cordier L, Holton K, De Choudhury M. Characterizing and Identifying the Prevalence of Web-Based Misinformation Relating to Medication for Opioid Use Disorder: Machine Learning Approach. Journal of Medical Internet Research 2021;23(12):e30753
CrossRef -
Pradeep T, Ravipati A, Melachuri S, Fu R. More than just a stye: identifying seasonal patterns using google trends, and a review of infodemiological literature in ophthalmology. Orbit 2023;42(2):130
CrossRef -
Chiou H, Voegeli C, Wilhelm E, Kolis J, Brookmeyer K, Prybylski D. The Future of Infodemic Surveillance as Public Health Surveillance. Emerging Infectious Diseases 2022;28(13)
CrossRef -
Xue B, Wu Y, Zheng X, Xue Y, Dong F, Xiao S, Yin M, Wang M, Liu Y, Zhang C. Effects of information sources on public preventive behaviors in health emergencies: Evidence from a digital epidemiologic study during the COVID-19 pandemic. Frontiers in Public Health 2022;10
CrossRef -
Mukka M, Pesälä S, Hammer C, Mustonen P, Jormanainen V, Pelttari H, Kaila M, Helve O. Analyzing Citizens’ and Health Care Professionals’ Searches for Smell/Taste Disorders and Coronavirus in Finland During the COVID-19 Pandemic: Infodemiological Approach Using Database Logs. JMIR Public Health and Surveillance 2021;7(12):e31961
CrossRef -
Bayın Donar G, Aydan S. Association of COVID‐19 with lifestyle behaviours and socio‐economic variables in Turkey: An analysis of Google Trends. The International Journal of Health Planning and Management 2022;37(1):281
CrossRef -
Monzani D, Vergani L, Pizzoli SFM, Marton G, Pravettoni G. Emotional Tone, Analytical Thinking, and Somatosensory Processes of a Sample of Italian Tweets During the First Phases of the COVID-19 Pandemic: Observational Study. Journal of Medical Internet Research 2021;23(10):e29820
CrossRef -
Stern J, Georgsson S, Carlsson T. Quality of web-based information about the coronavirus disease 2019: a rapid systematic review of infodemiology studies published during the first year of the pandemic. BMC Public Health 2022;22(1)
CrossRef -
Husnayain A, Shim E, Fuad A, Su EC. Predicting New Daily COVID-19 Cases and Deaths Using Search Engine Query Data in South Korea From 2020 to 2021: Infodemiology Study. Journal of Medical Internet Research 2021;23(12):e34178
CrossRef -
Aragón-Ayala CJ, Copa-Uscamayta J, Herrera L, Zela-Coila F, Quispe-Juli CU. Interest in COVID-19 in Latin America and the Caribbean: an infodemiological study using Google Trends. Cadernos de Saúde Pública 2021;37(10)
CrossRef -
Wakamiya S, Morimoto O, Omichi K, Hara H, Kawase I, Koshiba R, Aramaki E. Exploring Relationships Between Tweet Numbers and Over-the-counter Drug Sales for Allergic Rhinitis: Retrospective Analysis. JMIR Formative Research 2022;6(2):e33941
CrossRef -
Trevino J, Malik S, Schmidt M. Integrating Google Trends Search Engine Query Data Into Adult Emergency Department Volume Forecasting: Infodemiology Study. JMIR Infodemiology 2022;2(1):e32386
CrossRef -
Shah U, Abd-alrazaq A, Schneider J, Househ M, Shah Z. Twitters’ Concerns and Opinions About the COVID-19 Booster Shots: Infoveillance Study. Journal of Consumer Health on the Internet 2022;26(4):337
CrossRef -
Monzani D, Vergani L, Marton G, Pizzoli SFM, Pravettoni G. When in doubt, Google it: distress-related information seeking in Italy during the COVID-19 pandemic. BMC Public Health 2021;21(1)
CrossRef -
Russell AM, Valdez D, Chiang SC, Montemayor BN, Barry AE, Lin H, Massey PM. Using Natural Language Processing to Explore “Dry January” Posts on Twitter: Longitudinal Infodemiology Study. Journal of Medical Internet Research 2022;24(11):e40160
CrossRef -
García Rivero A, Carbonell-Curralo EG, Magán-Álvarez A, Barberá-González R. Marketing de influencia: educación sanitaria online. Revista de Comunicación y Salud 2021;11:19
CrossRef -
Bhatia S, Jason LA. Using Data Mining and Time Series to Investigate ME and CFS Naming Preferences. Journal of Disability Policy Studies 2023;:104420732311540
CrossRef -
Akpan IJ, Aguolu OG, Kobara YM, Razavi R, Akpan AA, Shanker M. Association Between What People Learned About COVID-19 Using Web Searches and Their Behavior Toward Public Health Guidelines: Empirical Infodemiology Study. Journal of Medical Internet Research 2021;23(9):e28975
CrossRef -
. Impact of COVID-19 Pandemic on Population-Level Interest in Skincare: Evidence from a Google Trends. European Journal of Medical and Health Sciences 2021;:147
CrossRef -
Effenberger M, Kronbichler A, Bettac E, Grabherr F, Grander C, Adolph TE, Mayer G, Zoller H, Perco P, Tilg H. Using Infodemiology Metrics to Assess Public Interest in Liver Transplantation: Google Trends Analysis. Journal of Medical Internet Research 2021;23(8):e21656
CrossRef -
Eala MAB, Tantengco OAG. Global online interest in cervical cancer care in the time of COVID-19: An infodemiology study. Gynecologic Oncology Reports 2022;41:100998
CrossRef -
Taira K, Fujita S. Prediction of Age-Adjusted Mortality From Stroke in Japanese Prefectures: Ecological Study Using Search Engine Queries. JMIR Formative Research 2022;6(1):e27805
CrossRef -
Morocco E, Latack K, Ciesielski K, Nguyen B, Dancz C. Patient Experience of Antimuscarinic Treatment for Overactive Bladder: A Qualitative Exploration of Online Forum Content. Female Pelvic Medicine & Reconstructive Surgery 2022;28(3):e49
CrossRef -
Hu F, Qiu L, Xia W, Liu C, Xi X, Zhao S, Yu J, Wei S, Hu X, Su N, Hu T, Zhou H, Jin Z. Spatiotemporal evolution of online attention to vaccines since 2011: An empirical study in China. Frontiers in Public Health 2022;10
CrossRef -
Inaam ul haq M, Li Q, Hou J, Iftekhar A. Detecting the research structure and topic trends of social media using static and dynamic probabilistic topic models. Aslib Journal of Information Management 2023;75(2):215
CrossRef -
Saini V, Liang L, Yang Y, Le HM, Wu C. The Association Between Dissemination and Characteristics of Pro-/Anti-COVID-19 Vaccine Messages on Twitter: Application of the Elaboration Likelihood Model. JMIR Infodemiology 2022;2(1):e37077
CrossRef -
Singh AK, Mehan P, Sharma D, Pandey R, Sethi T, Kumaraguru P. COVID-19 Mask Usage and Social Distancing in Social Media Images: Large-scale Deep Learning Analysis. JMIR Public Health and Surveillance 2022;8(1):e26868
CrossRef -
Khosla L, Bockelman D, Gong S, Vizgan G, Kabarriti AE. Impact of COVID-19 on Online Interest in Urologic Conditions: An Analysis of Google Trends. Cureus 2022;
CrossRef -
Zheng Z, Xie Z, Li D. Discussion of waterpipe tobacco smoking on reddit. Heliyon 2022;8(9):e10635
CrossRef -
Chejfec-Ciociano JM, Martínez-Herrera JP, Parra-Guerra AD, Chejfec R, Barbosa-Camacho FJ, Ibarrola-Peña JC, Cervantes-Guevara G, Cervantes-Cardona GA, Fuentes-Orozco C, Cervantes-Pérez E, García-Reyna B, González-Ojeda A. Misinformation About and Interest in Chlorine Dioxide During the COVID-19 Pandemic in Mexico Identified Using Google Trends Data: Infodemiology Study. JMIR Infodemiology 2022;2(1):e29894
CrossRef -
Baker H, Concannon S, So E, Yeung CH. Information sharing practices during the COVID-19 pandemic: A case study about face masks. PLOS ONE 2022;17(5):e0268043
CrossRef -
Liew TM, Lee CS. Examining the Utility of Social Media in COVID-19 Vaccination: Unsupervised Learning of 672,133 Twitter Posts. JMIR Public Health and Surveillance 2021;7(11):e29789
CrossRef -
Clark SE, Bledsoe MC, Harrison CJ. The role of social media in promoting vaccine hesitancy. Current Opinion in Pediatrics 2022;34(2):156
CrossRef -
. Time-Series Associations between Public Interest in COVID-19 Variants and National Vaccination Rate: A Google Trends Analysis. Behavioral Sciences 2022;12(7):223
CrossRef -
Alibudbud R, Cleofas JV. Global utilization of online information for substance use disorder: An infodemiological study of Google and Wikipedia from 2004 to 2022. Journal of Nursing Scholarship 2023;55(3):665
CrossRef -
Xu Q, McMann T, Godinez H, Nali MC, Li J, Cai M, Merenda C, Lee C, Araojo R, Mackey TK. Impact of COVID-19 on HIV Prevention Access: A Multi-platform Social Media Infodemiology Study. AIDS and Behavior 2023;27(6):1886
CrossRef -
Mackey T, Baur C, Eysenbach G. Advancing Infodemiology in a Digital Intensive Era. JMIR Infodemiology 2022;2(1):e37115
CrossRef -
Cuomo R, Purushothaman V, Calac AJ, McMann T, Li Z, Mackey T. Estimating County-Level Overdose Rates Using Opioid-Related Twitter Data: Interdisciplinary Infodemiology Study. JMIR Formative Research 2023;7:e42162
CrossRef -
Luo J, Xue R, Hu J, El Baz D. Combating the Infodemic: A Chinese Infodemic Dataset for Misinformation Identification. Healthcare 2021;9(9):1094
CrossRef -
Sajjadi NB, Ottwell R, Shepard S, Bray N, Dyer R, Wilson J, Vassar M, Hartwell M. Assessing the United States’ most frequently asked questions about osteopathic medicine, osteopathic education, and osteopathic manipulative treatment. Journal of Osteopathic Medicine 2022;122(5):219
CrossRef -
Sajjadi NB, Feldman K, Shepard S, Reddy AK, Torgerson T, Hartwell M, Vassar M. Public Interest and Behavior Change in the United States Regarding Colorectal Cancer Following the Death of Chadwick Boseman: Infodemiology Investigation of Internet Search Trends Nationally and in At-Risk Areas. JMIR Infodemiology 2021;1(1):e29387
CrossRef -
Oliveira LM, Pilecco KDS, de Souza DF, de Oliveira CA, Zanatta FB. Main uses of Instagram in oral health research–A scoping review. Health Policy and Technology 2022;11(1):100605
CrossRef -
Goadsby P, Ruiz de la Torre E, Constantin L, Amand C. Social Media Listening and Digital Profiling Study of People With Headache and Migraine: Retrospective Infodemiology Study. Journal of Medical Internet Research 2023;25:e40461
CrossRef -
. Decreased global online interest in obesity from 2004 to 2021: An infodemiology study. Obesity Medicine 2022;30:100389
CrossRef -
Qu X, Yu C, He Q, Li Z, Houser SH, Zhang W, Li D. Effect of the COVID-19 Mitigation Measure on Dental Care Needs in 17 Countries: A Regression Discontinuity Analysis. Frontiers in Public Health 2022;10
CrossRef -
Yuan K, Huang G, Wang L, Wang T, Liu W, Jiang H, Yang AC. Predicting Norovirus in the United States Using Google Trends: Infodemiology Study. Journal of Medical Internet Research 2021;23(9):e24554
CrossRef -
Ma M, Yin S, Zhu M, Fan Y, Wen X, Lin T, Song T. Evaluation of Medical Information on Male Sexual Dysfunction on Baidu Encyclopedia and Wikipedia: Comparative Study. Journal of Medical Internet Research 2022;24(8):e37339
CrossRef -
Lee SK, Sun J, Jang S, Connelly S. Misinformation of COVID-19 vaccines and vaccine hesitancy. Scientific Reports 2022;12(1)
CrossRef -
Berning P, Huang L, Razavi AC, Boakye E, Osuji N, Stokes AC, Martin SS, Ayers JW, Blaha MJ, Dzaye O. Association of Online Search Trends With Vaccination in the United States: June 2020 Through May 2021. Frontiers in Immunology 2022;13
CrossRef -
Liu M, Zhu Y, Gao H, Li J. Examining Chinese Users’ Feedback Comments on HIV Self-testing Kits From e-Commerce Platforms: Thematic and Content Analysis. Journal of Medical Internet Research 2022;24(11):e38398
CrossRef -
McKool M, Han S, Sandhu J, Marshall C, Guendelman S, Harley K. Emerging Technology: Preparing Tomorrow's MCH Workforce to Innovate for Equity. Maternal and Child Health Journal 2022;26(S1):210
CrossRef -
Aattouchi I, Elmendili S, Elmendili F, Bourekkadi S, Hami H, Mokhtari A, Slimani K, Soulaymani A. Sentiment Analysis of Health Care: Review. E3S Web of Conferences 2021;319:01064
CrossRef -
Manchaiah V, Swanepoel DW, Bailey A, Pennebaker JW, Bennett RJ. Hearing Aid Consumer Reviews: A Linguistic Analysis in Relation to Benefit and Satisfaction Ratings. American Journal of Audiology 2021;30(3):761
CrossRef -
Wu J, Tizek L, Rueth M, Wecker H, Kain A, Biedermann T, Zink A. The national burden of scabies in Germany: a population-based approach using Internet search engine data. Infection 2022;50(4):915
CrossRef -
. İNFODEMİYOLOJİ, DİJİTAL EPİDEMİYOLOJİ VE METABİLİM: İNSANIN İNSANI, BİLİMİN İNSANI ALDATMASI NASIL ÖNLENİR?. ESTÜDAM Halk Sağlığı Dergisi 2021;6(3):322
CrossRef -
Kaatz M, Springer S, Schubert R, Zieger M. Representation of long COVID syndrome in the awareness of the population is revealed by Google Trends analysis. Brain, Behavior, & Immunity - Health 2022;22:100455
CrossRef -
Lotto M, Sá Menezes T, Zakir Hussain I, Tsao S, Ahmad Butt Z, P Morita P, Cruvinel T. Characterization of False or Misleading Fluoride Content on Instagram: Infodemiology Study. Journal of Medical Internet Research 2022;24(5):e37519
CrossRef -
Park S, Wang R. Assessing the Capability of Government Information Intervention and Socioeconomic Factors of Information Sharing during the COVID-19 Pandemic: A Cross-Country Study Using Big Data Analytics. Behavioral Sciences 2022;12(6):190
CrossRef -
Amusa LB, Twinomurinzi H, Phalane E, Phaswana-Mafuya RN. Big Data and Infectious Disease Epidemiology: Bibliometric Analysis and Research Agenda. Interactive Journal of Medical Research 2023;12:e42292
CrossRef -
Xie Y, Zhou W, Zhu J, Ruan Y, Wang X, Huang T. Early Warning and Monitoring of Coronavirus Disease 2019 Using Baidu Search Index and Baidu Information Index in Guangxi, China. Infectious Microbes and Diseases 2022;4(4):168
CrossRef -
Tselebis A, Zabuliene L, Milionis C, Ilias I. Pandemic and precocious puberty - a Google trends study. World Journal of Methodology 2023;13(1):1
CrossRef -
Mondia MWL, Espiritu AI, Jamora RDG. Brain Tumor Infodemiology: Worldwide Online Health-Seeking Behavior Using Google Trends and Wikipedia Pageviews. Frontiers in Oncology 2022;12
CrossRef -
Van Diepen C, Rosales Valdes D. A content analysis on the perceptions of LGBTQ+ (centred) health care on Twitter. Health Expectations 2022;25(6):3238
CrossRef -
Xu WW, Tshimula JM, Dubé , Graham JE, Greyson D, MacDonald NE, Meyer SB. Unmasking the Twitter Discourses on Masks During the COVID-19 Pandemic: User Cluster–Based BERT Topic Modeling Approach. JMIR Infodemiology 2022;2(2):e41198
CrossRef -
Corinti F, Pontillo D, Giansanti D. COVID-19 and the Infodemic: An Overview of the Role and Impact of Social Media, the Evolution of Medical Knowledge, and Emerging Problems. Healthcare 2022;10(4):732
CrossRef -
. The Worldwide Utilization of Online Information about Dementia from 2004 to 2022: An Infodemiological Study of Google and Wikipedia. Issues in Mental Health Nursing 2023;44(3):209
CrossRef -
Chen S, Yin SJ, Guo Y, Ge Y, Janies D, Dulin M, Brown C, Robinson P, Zhang D. Content and sentiment surveillance (CSI): A critical component for modeling modern epidemics. Frontiers in Public Health 2023;11
CrossRef -
Rosato C, Moore RE, Carter M, Heap J, Harris J, Storopoli J, Maskell S. Extracting Self-Reported COVID-19 Symptom Tweets and Twitter Movement Mobility Origin/Destination Matrices to Inform Disease Models. Information 2023;14(3):170
CrossRef -
Morita PP, Zakir Hussain I, Kaur J, Lotto M, Butt ZA. Tweeting for Health Using Real-time Mining and Artificial Intelligence–Based Analytics: Design and Development of a Big Data Ecosystem for Detecting and Analyzing Misinformation on Twitter. Journal of Medical Internet Research 2023;25:e44356
CrossRef -
Amzat J, Kanmodi KK, Egbedina EA. Infoveillance and bibliometric analysis of COVID‐19 in Nigeria. Public Health Challenges 2023;2(1)
CrossRef -
Lotto M, Hanjahanja-Phiri T, Padalko H, Oetomo A, Butt ZA, Boger J, Millar J, Cruvinel T, Morita PP. Ethical principles for infodemiology and infoveillance studies concerning infodemic management on social media. Frontiers in Public Health 2023;11
CrossRef -
. Google Trends for health research: Its advantages, application, methodological considerations, and limitations in psychiatric and mental health infodemiology. Frontiers in Big Data 2023;6
CrossRef -
Pajo AT, Jamora RDG, Espiritu AI. Online Health Information-Seeking Behavior for Movement Disorders: An Infodemiologic Study. SSRN Electronic Journal 2022;
CrossRef -
Li J, He Z, Zhang M, Ma W, Jin Y, Zhang L, Zhang S, Liu Y, Ma S. Estimating Rare Disease Incidences With Large-scale Internet Search Data: Development and Evaluation of a Two-step Machine Learning Method. JMIR Infodemiology 2023;3:e42721
CrossRef -
Kim S, Warren E, Jahangir T, Al-Garadi M, Guo Y, Yang Y, Lakamana S, Sarker A. Characteristics of Intimate Partner Violence and Survivor’s Needs During the COVID-19 Pandemic: Insights From Subreddits Related to Intimate Partner Violence. Journal of Interpersonal Violence 2023;38(17-18):9693
CrossRef -
Cruz-Vázquez A, Ramos-Rojas DN. Información, comunicación y COVID-19: una exploración de la literatura desde los modelos de búsqueda de las bibliotecas académicas. Universitas 2023;(38):169
CrossRef -
Boender TS, Schneider PH, Houareau C, Wehrli S, Purnat TD, Ishizumi A, Wilhelm E, Voegeli C, Wieler LH, Leuker C. Establishing Infodemic Management in Germany: A Framework for Social Listening and Integrated Analysis to Report Infodemic Insights at the National Public Health Institute. JMIR Infodemiology 2023;3:e43646
CrossRef -
Laureate CDP, Buntine W, Linger H. A systematic review of the use of topic models for short text social media analysis. Artificial Intelligence Review 2023;56(12):14223
CrossRef -
Malhotra K, Dagli MM, Santangelo G, Wathen C, Ghenbot Y, Goyal K, Bawa A, Ozturk AK, Welch WC. The Digital Impact of Neurosurgery Awareness Month: Retrospective Infodemiology Study. JMIR Formative Research 2023;7:e44754
CrossRef -
. Yeni Bir Veri Analiz Alanı: İnfodepidemiyoloji. Sağlık Bilimlerinde Değer 2023;13(2):291
CrossRef -
Porcu G, Chen YX, Bonaugurio AS, Villa S, Riva L, Messina V, Bagarella G, Maistrello M, Leoni O, Cereda D, Matone F, Gori A, Corrao G. Web-based surveillance of respiratory infection outbreaks: retrospective analysis of Italian COVID-19 epidemic waves using Google Trends. Frontiers in Public Health 2023;11
CrossRef -
Xue J, Zhang B, Zhang Q, Hu R, Jiang J, Liu N, Peng Y, Li Z, Logan J. Using Twitter-Based Data for Sexual Violence Research: Scoping Review. Journal of Medical Internet Research 2023;25:e46084
CrossRef -
Yim D, Khuntia J, King E, Treskon M, Galiatsatos P. Expert Credibility and Sentiment in Infodemiology of Hydroxychloroquine’s Efficacy on Cable News Programs: Empirical Analysis. JMIR Infodemiology 2023;3:e45392
CrossRef -
Morokhovets H, Kaidashev I. A MATHEMATICAL MODEL FOR PROGNOSIS OF THE COVID-19 INCIDENCE IN UKRAINE USING GOOGLE TRENDS RESOURCES IN REAL-TIME AND FOR THE FUTURE PERIOD. The Medical and Ecological Problems 2022;26(3-4):3
CrossRef -
Smith SA, Carbone ET, Logan RA. Health literacy and empowerment in the COVID-19 era. Information Services & Use 2023;43(2):89
CrossRef -
Santangelo OE, Gianfredi V, Provenzano S. Impact on online research on celebrities’ uncommon diseases: the curious case of Justin Bieber and Ramsay Hunt syndrome. Journal of Public Health 2023;
CrossRef -
Palomo-Llinares R, Sánchez-Tormo J, Wanden-Berghe C, Sanz-Valero J. Occupational Health Applied Infodemiological Studies of Nutritional Diseases and Disorders: Scoping Review with Meta-Analysis. Nutrients 2023;15(16):3575
CrossRef -
Zhang L, Harris Ao S, Francis Ye J, Zhao X. How does health communication on social media influence e-cigarette perception and use? A trend analysis from 2017 to 2020. Addictive Behaviors 2024;149:107875
CrossRef -
Young LE, Nan Y, Jang E, Stevens R. Digital Epidemiological Approaches in HIV Research: a Scoping Methodological Review. Current HIV/AIDS Reports 2023;20(6):470
CrossRef -
Boakye E, Erhabor J, Obisesan O, Tasdighi E, Mirbolouk M, Osuji N, Osei AD, Lee J, DeFilippis AP, Stokes AC, Hirsch GA, Benjamin EJ, Robertson RM, Bhatnagar A, El Shahawy O, Blaha MJ. Comprehensive review of the national surveys that assess E-cigarette use domains among youth and adults in the United States. The Lancet Regional Health - Americas 2023;23:100528
CrossRef -
ÖZEN N, TOPBAŞ M. İnternet Ortamında ve Sosyal Medyada Doğru ve Güvenilir Sağlık Bilgisi Edinebilme. Farabi Tıp Dergisi 2023;2(2):27
CrossRef -
Lösch L, Zuiderent-Jerak T, Kunneman F, Syurina E, Bongers M, Stein ML, Chan M, Willems W, Timen A. Capturing Emerging Experiential Knowledge for Vaccination Guidelines Through Natural Language Processing: Proof-of-Concept Study. Journal of Medical Internet Research 2023;25:e44461
CrossRef -
Chu AM, Chong ACY, Lai NHT, Tiwari A, So MKP. Enhancing the Predictive Power of Google Trends Data Through Network Analysis: Infodemiology Study of COVID-19. JMIR Public Health and Surveillance 2023;9:e42446
CrossRef -
Li Z, Fan Y, Su H, Xu Z, Ho HC, Zheng H, Tao J, Zhang Y, Hu K, Hossain MZ, Zhao Q, Huang C, Cheng J. The 2022 Summer record-breaking heatwave and health information-seeking behaviours: an infodemiology study in Mainland China. BMJ Global Health 2023;8(9):e013231
CrossRef -
Jamora RDG, Lim MAR, Espiritu AI. Philippine immunization coverage and dengvaxia: An infodemiological study. Pediatrics International 2023;65(1)
CrossRef -
Holtorf A, Danyliv A, Huang L, Venable Y, Hanna A, Krause A, Pierre M, Walsh D, Silveira Silva A, Lee S, Mattingly TJ. Using social media research in health technology assessment: stakeholder perspectives and scoping review. International Journal of Technology Assessment in Health Care 2023;39(1)
CrossRef -
. Wikipedia page views for health research: a review. Frontiers in Big Data 2023;6
CrossRef -
Morokhovets H, Lysanets Y, Kaidashev I. INFODEMIOLOGY: USING GOOGLE TRENDS AS A RESEARCH TOOL DURING THE COVID-19 PANDEMIC. The Medical and Ecological Problems 2023;27(3-4):3
CrossRef -
Ciechanowski K, Jemielniak D, Silczuk A. Public interests in mental health topics in COVID-19: evidence from Wikipedia searches. Advances in Mental Health 2023;:1
CrossRef -
Olawade DB, Wada OJ, David-Olawade AC, Kunonga E, Abaire O, Ling J. Using artificial intelligence to improve public health: a narrative review. Frontiers in Public Health 2023;11
CrossRef -
Melián-Fleitas L, Franco-Pérez , Sanz-Valero J, Wanden-Berghe C. Population Interest in Information on Obesity, Nutrition, and Occupational Health and Its Relationship with the Prevalence of Obesity: An Infodemiological Study. Nutrients 2023;15(17):3773
CrossRef -
Alghamdi AM, Pileggi SF, Sohaib O. Social Media Analysis to Enhance Sustainable Knowledge Management: A Concise Literature Review. Sustainability 2023;15(13):9957
CrossRef -
Zaldarriaga JMH, Aw AMN, Cuyegkeng-Go VA, Manalo JML, Magsanoc JMJ, Peña-Camacho A, Gaerlan-Tagle A, Mendoza MCO. "Cancer-Related Search Queries in the Philippines: A Trend Analysis Across a Fifteen-Year Period ". Journal of Medical and Radiation Oncology 2023;3(1):25
CrossRef -
Boligarla S, Laison EKE, Li J, Mahadevan R, Ng A, Lin Y, Thioub MY, Huang B, Ibrahim MH, Nasri B. Leveraging machine learning approaches for predicting potential Lyme disease cases and incidence rates in the United States using Twitter. BMC Medical Informatics and Decision Making 2023;23(1)
CrossRef -
Dolatabadi E, Moyano D, Bales M, Spasojevic S, Bhambhoria R, Bhatti J, Debnath S, Hoell N, Li X, Leng C, Nanda S, Saab J, Sahak E, Sie F, Uppal S, Vadlamudi NK, Vladimirova A, Yakimovich A, Yang X, Kocak SA, Cheung AM. Using Social Media to Help Understand Patient-Reported Health Outcomes of Post–COVID-19 Condition: Natural Language Processing Approach. Journal of Medical Internet Research 2023;25:e45767
CrossRef -
Jenkins EL, Lukose D, Brennan L, Molenaar A, McCaffrey TA. Exploring Food Waste Conversations on Social Media: A Sentiment, Emotion, and Topic Analysis of Twitter Data. Sustainability 2023;15(18):13788
CrossRef -
Kaatz M, Kaatz M, Meinzenbach A, Springer S, Zieger M. From “arrow storks” to search engine data: Google Trends reveals seasonality in search interest for migratory white storks (Ciconia ciconia) in Germany. Zoologischer Anzeiger 2023;307:83
CrossRef -
Grandieri A, Trevisan C, Gentili S, Vetrano DL, Liotta G, Volpato S. Relationship between People’s Interest in Medication Adherence, Health Literacy, and Self-Care: An Infodemiological Analysis in the Pre- and Post-COVID-19 Era. Journal of Personalized Medicine 2023;13(7):1090
CrossRef -
Gao J, Gallegos GA, West JF. Public Health Policy, Political Ideology, and Public Emotion Related to COVID-19 in the U.S. International Journal of Environmental Research and Public Health 2023;20(21):6993
CrossRef -
. COVID-19 publications in top-ranked public health journals during the first phase of the pandemic. Quantitative Science Studies 2023;4(2):535
CrossRef -
El Mikati IK, Hoteit R, Harb T, El Zein O, Piggott T, Melki J, Mustafa RA, Akl EA. Defining Misinformation and Related Terms in Health-Related Literature: Scoping Review. Journal of Medical Internet Research 2023;25:e45731
CrossRef -
Parker MA, Valdez D, Rao VK, Eddens KS, Agley J. Results and Methodological Implications of the Digital Epidemiology of Prescription Drug References Among Twitter Users: Latent Dirichlet Allocation (LDA) Analyses. Journal of Medical Internet Research 2023;25:e48405
CrossRef -
Costa IS, Nisa MM, Ferreira LM. Online Search Patterns about Vaccination: A National Study. Portuguese Journal of Public Health 2022;40(3):134
CrossRef -
Bello HJ, Palomar-Ciria N, Lozano C, Gutiérrez-Alonso C, Baca-García E. Examining the relationship between COVID-19 and suicide in media coverage through Natural Language Processing analysis. The European Journal of Psychiatry 2024;38(1):100227
CrossRef -
Kamiński M, Czarny J, Skrzypczak P, Sienicki K, Roszak M. The Characteristics, Uses, and Biases of Studies Related to Malignancies Using Google Trends: Systematic Review. Journal of Medical Internet Research 2023;25:e47582
CrossRef -
Di Profio B, Lotto M, Ayala Aguirre PE, Villar CC, Romito GA, Cruvinel T, Pannuti CM. Digital surveillance: The interest in mouthwash‐related information. International Journal of Dental Hygiene 2023;
CrossRef -
Ziakas PD, Mylonakis E, Lai Y. Public interest trends for Covid-19 and alignment with the disease trajectory: A time-series analysis of national-level data. PLOS Digital Health 2023;2(6):e0000271
CrossRef -
Hove C, Cilliers L. A structured literature review of the health infodemic on social media in Africa. Jàmbá Journal of Disaster Risk Studies 2023;15(1)
CrossRef -
Malhotra K, Kempegowda P. Appraising Unmet Needs and Misinformation Spread About Polycystic Ovary Syndrome in 85,872 YouTube Comments Over 12 Years: Big Data Infodemiology Study. Journal of Medical Internet Research 2023;25:e49220
CrossRef -
Brigo F, Otte WM, Igwe SC, Ausserer H, Nardone R, Tezzon F, Trinka E. Information‐seeking behaviour for epilepsy: an infodemiological study of searches for Wikipedia articles. Epileptic Disorders 2015;17(4):460
CrossRef -
Ishizuka K, Miyagami T, Tsuchida T, Saita M, Ohira Y, Naito T, Santangelo OE. Online search interest in long-term symptoms of coronavirus disease 2019 during the COVID-19 pandemic in Japan: Infodemiology study using the most visited search engine in Japan. PLOS ONE 2023;18(11):e0294261
CrossRef -
Rhee JU, Huang Y, Soroosh AJ, Alsudais S, Ni S, Kumar A, Paredes J, Li C, Timberlake DS. The Marketing and Perceptions of Non-Tobacco Blunt Wraps on Twitter. Substance Use & Misuse 2024;59(4):469
CrossRef -
. Seeing together: Lessons from the COVID-19 pandemic on understanding evidence. Healthcare Management Forum 2023;
CrossRef -
Yang X, Huang K, Yang D, Zhao W, Zhou X. Biomedical Big Data Technologies, Applications, and Challenges for Precision Medicine: A Review. Global Challenges 2024;8(1)
CrossRef -
Galvez-Hernandez P, Gonzalez-Viana A, Gonzalez-de Paz L, Shankardass K, Muntaner C. Generating Contextual Variables From Web-Based Data for Health Research: Tutorial on Web Scraping, Text Mining, and Spatial Overlay Analysis. JMIR Public Health and Surveillance 2024;10:e50379
CrossRef -
Xu Q, McMann TJ, Li J, Wenzel C, Mackey TK. Characterization of COVID-19 vaccine clinical trial discussions on the social question-and-answer site Quora. Trials 2023;24(1)
CrossRef -
Lopes ADS, Brotas AMP, Massarani L. A conversação pública acerca da vacina e da vacinação contra covid-19 no Twitter: um estudo infodemiológico. Intercom: Revista Brasileira de Ciências da Comunicação 2023;46
CrossRef -
Hoffmann L, Bressem KK, Cittadino J, Rueger C, Suwalski P, Meinel J, Funken S, Busch F. From Global Health to Global Warming: Tracing Climate Change Interest during the First Two Years of COVID-19 Using Google Trends Data from the United States. Environments 2023;10(12):221
CrossRef -
Lopes ADS, Brotas AMP, Massarani L. The public conversation about vaccines and vaccination against covid-19 on Twitter: an infodemiological study. Intercom: Revista Brasileira de Ciências da Comunicação 2023;46
CrossRef -
Javadi V, Kamfar S, Zeinali V, Rahmani K, Moghaddamemami FH. Online information-seeking behavior of Iranian web users on Google about Henoch–Schönlein purpura (HSP): an infodemiology study. BMC Health Services Research 2023;23(1)
CrossRef -
Ikejiri T, Hakariya H, Kai H, Yokoyama N, Hakariya A. The “Okusuri Charm” movement in Japan: Prescription drug accessories emerging on X (Twitter). Journal of General and Family Medicine 2024;25(1):77
CrossRef -
Lima FLTD, Martins LFL, Szklo AS. What does Google Trends reveal about the proportion of waterpipe users in the Brazilian population?. Epidemiologia e Serviços de Saúde 2023;32(4)
CrossRef -
DI PROFIO B, LOTTO M, AGUIRRE PEA, VILLAR CC, ROMITO GA, BRAGA MM, CRUVINEL T, PANNUTI CM. Toothpaste-related interests of Google users from different countries. Brazilian Oral Research 2023;37
CrossRef -
Lima FLTD, Martins LFL, Szklo AS. O que o Google Trends tem a dizer sobre a proporção de usuários de narguilé na população brasileira?. Epidemiologia e Serviços de Saúde 2023;32(4)
CrossRef -
Haupt MR, Chiu M, Chang J, Li Z, Cuomo R, Mackey TK, Cresci S. Detecting nuance in conspiracy discourse: Advancing methods in infodemiology and communication science with machine learning and qualitative content coding. PLOS ONE 2023;18(12):e0295414
CrossRef -
Shah HA, Househ M. Concepts, objectives and analysis of public health surveillance systems. Computer Methods and Programs in Biomedicine Update 2024;5:100136
CrossRef -
Pezzino S, Sofia M, Mazzone C, Litrico G, Agosta M, La Greca G, Latteri S. Exploring public interest in gut microbiome dysbiosis, NAFLD, and probiotics using Google Trends. Scientific Reports 2024;14(1)
CrossRef -
Tan JM, Simpao AF, Gálvez Delgado JA. The Future of Social Media, Anesthesiology, and the Perioperative Physician. Anesthesia & Analgesia 2024;138(2):358
CrossRef -
Yin S, Chen S, Ge Y. Dynamic Associations Between Centers for Disease Control and Prevention Social Media Contents and Epidemic Measures During COVID-19: Infoveillance Study. JMIR Infodemiology 2024;4:e49756
CrossRef -
Deiner MS, Deiner NA, Hristidis V, McLeod SD, Doan T, Lietman TM, Porco TC. Use of Large Language Models to Assess the Likelihood of Epidemics From the Content of Tweets: Infodemiology Study. Journal of Medical Internet Research 2024;26:e49139
CrossRef -
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CrossRef -
Yu Y, Zhang Q, Yao X, Wu J, He J, He Y, Jiang H, Lu D, Ye C. Online public concern about allergic rhinitis and its association with COVID-19 and air quality in China: an informative epidemiological study using Baidu index. BMC Public Health 2024;24(1)
CrossRef -
Early JO, Robillard A, Rooks R, Smith Romocki L. Pedagogy and Propaganda in the Post-Truth Era: Examining Effective Approaches to Teaching About Mis/DisInformation. Pedagogy in Health Promotion 2024;
CrossRef -
Bachl M, Link E, Mangold F, Stier S. Search Engine Use for Health-Related Purposes: Behavioral Data on Online Health Information-Seeking in Germany. Health Communication 2024;:1
CrossRef -
Francalancia S, Mehta K, Shrestha R, Phuyal D, Bikash D, Yadav M, Nakarmi K, Rai S, Sharar S, Stewart BT, Fudem G. Consumer focus group testing with stakeholders to generate an enteral resuscitation training flipbook for primary health center and first-level hospital providers in Nepal. Burns 2024;
CrossRef -
Morita PP, Lotto M, Kaur J, Chumachenko D, Oetomo A, Espiritu KD, Hussain IZ. What is the impact of artificial intelligence-based chatbots on infodemic management?. Frontiers in Public Health 2024;12
CrossRef -
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CrossRef -
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CrossRef -
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CrossRef -
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CrossRef -
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CrossRef -
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Wamba SF, Akter S, Kang H, Bhattacharya M, Upal M. Social Media Marketing. 2018. chapter 41:809
CrossRef -
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Herttua T, Jakob E, Nave S, Gupta R, Zylka MP. Designing Networks for Innovation and Improvisation. 2016. Chapter 15:151
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Optican A, Cavazos-Rehg PA. Child and Adolescent Psychiatry and the Media. 2019. :61
CrossRef -
Kim A, Murphy J, Richards A, Hansen H, Powell R, Haney C. Social Media, Sociality, and Survey Research. 2013. :61
CrossRef -
Horvitz E, Mulligan DK. Next-Generation Ethics. 2019. 7:81
CrossRef -
Apolinario-Arzube , García-Díaz JA, Pinto S, Luna-Aveiga H, Medina-Moreira JJ, Gómez-Berbis JM, Valencia-Garcia R, Estrade-Cabrera JI. Applied Informatics and Cybernetics in Intelligent Systems. 2020. Chapter 15:177
CrossRef -
French M, Mykhalovskiy E. Pandemics and Emerging Infectious Diseases. 2013. :8
CrossRef -
Bere WRC, Camara G, Malo S, Despres S, Lo M, Ouaro S. Innovations and Interdisciplinary Solutions for Underserved Areas. 2020. Chapter 4:52
CrossRef -
Samaras L, García-Barriocanal E, Sicilia M. Innovation in Health Informatics. 2020. :39
CrossRef -
Gao R, Hao B, Li H, Gao Y, Zhu T. Brain and Health Informatics. 2013. Chapter 36:359
CrossRef -
Grimm M, Lampert C, Wolf S. Handbuch der Gesundheitskommunikation. 2019. Chapter 4:43
CrossRef -
Giabbanelli PJ, Adams J, Pillutla VS. Social Computing and Social Media. 2016. Chapter 18:188
CrossRef -
. Infectious Disease Surveillance. 2013. :470
CrossRef -
Richiardi L, Pizzi C, Paolotti D. Handbook of Epidemiology. 2014. Chapter 59:439
CrossRef -
Naaz S, Siddiqui F. Intelligent Systems for Healthcare Management and Delivery. 2019. chapter 13:285
CrossRef -
Ganasegeran K, Abdulrahman SA. Human Behaviour Analysis Using Intelligent Systems. 2020. Chapter 7:141
CrossRef -
. Veterinary Epidemiology. 2018. :694
CrossRef -
Shadbolt N, O’Hara K, De Roure D, Hall W. The Theory and Practice of Social Machines. 2019. Chapter 4:149
CrossRef -
Laaksonen C, Jalonen H, Paavola J. Safe and Secure Cities. 2014. Chapter 11:100
CrossRef -
Kwanya T, Stilwell C, Underwood PG. Library 3.0. 2015. :95
CrossRef -
Grimm M, Lampert C, Wolf S. Handbuch Gesundheitskommunikation. 2018. Chapter 4-1:1
CrossRef -
. Statistical Methods for Evaluating Safety in Medical Product Development. 2014. :345
CrossRef -
. Handbook of Behavioral Medicine. 2010. Chapter 64:1009
CrossRef -
. Theory and Practice of Business Intelligence in Healthcare. 2020. chapter 8:166
CrossRef -
Sevigny EL, Fuleihan B. The Handbook of Drugs and Society. 2015. :258
CrossRef -
Shadbolt N, O’Hara K, De Roure D, Hall W. The Theory and Practice of Social Machines. 2019. Chapter 1:1
CrossRef -
. Injury Research. 2012. Chapter 3:45
CrossRef -
. Respectable Deviance and Purchasing Medicine Online. 2018. Chapter 3:67
CrossRef -
. The International Encyclopedia of Media Studies. 2012.
CrossRef -
Murphy J, Dean E, Hill CA, Richards A. Health Survey Methods. 2014. :315
CrossRef -
Buller DB, Walkosz BJ, Gill Woodall W. Prevention of Substance Use. 2019. Chapter 20:319
CrossRef -
. Participatory Health Through Social Media. 2016. :83
CrossRef -
Nemutanzhela P, Iyamu T. Maximizing Healthcare Delivery and Management through Technology Integration. 2016. chapter 7:101
CrossRef -
. Disinformation in Open Online Media. 2020. Chapter 4:52
CrossRef -
Apolinario-Arzube , García-Díaz JA, Luna-Aveiga H, Medina-Moreira J, Valencia-García R. Technologies and Innovation. 2020. Chapter 4:43
CrossRef -
Soussan T, Trovati M. Data Science Advancements in Pandemic and Outbreak Management. 2021. chapter 7:125
CrossRef -
Clarke AE, Jeske M, Mamo L, Shim JK. The Wiley Blackwell Companion to Medical Sociology. 2021. :125
CrossRef -
. Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering. 2021. chapter 47:969
CrossRef -
Liang B, Wang Y. Empowering Human Dynamics Research with Social Media and Geospatial Data Analytics. 2021. Chapter 10:185
CrossRef -
Soto-Vega E, Gómez Gómez S, Fernanda Pérez-Zepeda M, Marielle Salgado Solís Salgado G. Social Media - Opportunities and Risks. 2024. Chapter 7
CrossRef -
Ghosh S, Dasgupta R. Machine Learning in Biological Sciences. 2022. Chapter 16:137
CrossRef -
Tayuan RC, Ramos CDL. Proceedings of the Future Technologies Conference (FTC) 2021, Volume 2. 2022. Chapter 29:374
CrossRef -
Naaz S, Siddiqui F. Research Anthology on Big Data Analytics, Architectures, and Applications. 2022. chapter 45:958
CrossRef -
. Migraine in Medicine. 2022. Chapter 1:1
CrossRef -
Bhatti A, Rehman A, John P. Biotechnology in Healthcare. 2022. :321
CrossRef -
Heyerdahl LW, Lana B, Giles-Vernick T. Socio-Life Science and the COVID-19 Outbreak. 2022. Chapter 4:73
CrossRef -
. Big Data in Predictive Toxicology. 2019. :1
CrossRef -
Chire Saire JE, Oblitas Cruz JF. Information Technology and Systems. 2022. Chapter 9:88
CrossRef -
. Accelerating Strategic Changes for Digital Transformation in the Healthcare Industry. 2023. :309
CrossRef -
Cuyvers J, Passanante A, Pertwee E, Paterson P, Lin L, J. Larson H. Modernizing Global Health Security to Prevent, Detect, and Respond. 2024. :375
CrossRef -
Batra K, Batra R, Sharma M. Effective Use of Social Media in Public Health. 2023. :253
CrossRef -
Estuar MRJE, Espina KE. COVID-19 Experience in the Philippines. 2023. Chapter 1:3
CrossRef -
Cascini F, Lontano A, Failla G, Puleo V, Ricciardi W. COVID-19 and Perinatology. 2023. Chapter 16:229
CrossRef -
Saluja P, Grover V, Arora S, Batra K, Kaur J. Effective Use of Social Media in Public Health. 2023. :295
CrossRef -
. Effective Use of Social Media in Public Health. 2023. :233
CrossRef -
Bhanye J, Bhanye A. The Palgrave Handbook of Global Social Problems. 2023. Chapter 367-1:1
CrossRef -
Kumar A, Shekhar S. Soft Computing for Security Applications. 2023. Chapter 43:621
CrossRef