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Citing this Article

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Published on 27.03.09 in Vol 11, No 1 (2009): Jan-Mar

This paper is in the following e-collection/theme issue:

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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  4. Mavragani A. Infodemiology and Infoveillance: Scoping Review. Journal of Medical Internet Research 2020;22(4):e16206
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  6. 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
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  9. 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
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  10. 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
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  11. 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
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  14. 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
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  15. 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
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  19. 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
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  21. 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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  22. Strzelecki A. 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
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  23. 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
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  24. 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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  25. Ni J, Bellon-Harn ML, Zhang J, Li Y, Manchaiah V. Twitter Usage Using Common Reference to Tinnitus. American Journal of Audiology 2020;:1
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  27. 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
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  28. 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
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  29. 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
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  30. 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
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  31. 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
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  32. 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
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  33. 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
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  34. 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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  35. 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
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  36. 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
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  37. Reuter K, Danve A, Deodhar A. Harnessing the power of social media. Current Opinion in Rheumatology 2019;31(4):321
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  38. 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
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  39. 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 2019;:016555151989051
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  40. 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
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  41. 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 2019;
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  42. 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
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  43. 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
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  44. 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
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  45. Greyson D, Knight R, Shoveller JA. Ethics, effectiveness and population health information interventions: a Canadian analysis. Health Promotion International 2019;34(3):501
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  46. Mavragani A, Ochoa G. Google Trends in Infodemiology and Infoveillance: Methodology Framework. JMIR Public Health and Surveillance 2019;5(2):e13439
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  47. 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
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  48. 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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  49. 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
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  50. Loi M. The Digital Phenotype: a Philosophical and Ethical Exploration. Philosophy & Technology 2019;32(1):155
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  51. 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
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  52. 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
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  53. 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
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  54. 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
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  55. 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
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  56. 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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  57. 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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  58. 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
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  59. 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
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  61. 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
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  62. Liu S, Chen B, Kuo A. Monitoring Physical Activity Levels Using Twitter Data: Infodemiology Study. Journal of Medical Internet Research 2019;21(6):e12394
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