Published on 18.06.14 in Vol 16, No 6 (2014): June
Works citing "Detecting Disease Outbreaks in Mass Gatherings Using Internet Data"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.3156):
(note that this is only a small subset of citations)
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Shah GH, Leider JP, Luo H, Kaur R. Interoperability of Information Systems Managed and Used by the Local Health Departments. Journal of Public Health Management and Practice 2016;22(Supplement 6):S34
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Nayak S, Blumenfeld NR, Laksanasopin T, Sia SK. Point-of-Care Diagnostics: Recent Developments in a Connected Age. Analytical Chemistry 2017;89(1):102
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Lebwohl B, Yom-Tov E. Symptoms Prompting Interest in Celiac Disease and the Gluten-Free Diet: Analysis of Internet Search Term Data. Journal of Medical Internet Research 2019;21(4):e13082
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Edo-Osagie O, De La Iglesia B, Lake I, Edeghere O. A scoping review of the use of Twitter for public health research. Computers in Biology and Medicine 2020;122:103770
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Yan S, Chughtai A, Macintyre C. Utility and potential of rapid epidemic intelligence from internet-based sources. International Journal of Infectious Diseases 2017;63:77
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Issa E, Tsou M, Nara A, Spitzberg B. Understanding the spatio-temporal characteristics of Twitter data with geotagged and non-geotagged content: two case studies with the topic of flu and Ted (movie). Annals of GIS 2017;23(3):219
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Lee D, Lee H, Choi M. Examining the Relationship Between Past Orientation and US Suicide Rates: An Analysis Using Big Data-Driven Google Search Queries. Journal of Medical Internet Research 2016;18(2):e35
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Lee JL, DeCamp M, Dredze M, Chisolm MS, Berger ZD. What Are Health-Related Users Tweeting? A Qualitative Content Analysis of Health-Related Users and Their Messages on Twitter. Journal of Medical Internet Research 2014;16(10):e237
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Tabatabaei SM, Metanat M. Mass Gatherings and Infectious Diseases Epidemiology and Surveillance. International Journal of Infection 2015;2(2)
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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)
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SPRECO A, ERIKSSON O, DAHLSTRÖM , TIMPKA T. Influenza detection and prediction algorithms: comparative accuracy trial in Östergötland county, Sweden, 2008–2012. Epidemiology and Infection 2017;145(10):2166
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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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Couturier J, Sola D. How innovations will boost adult immunisation programmes in the UK. British Journal of Healthcare Management 2015;21(3):136
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Jeong S, Kuk S, Kim H. A Smartphone Magnetometer-Based Diagnostic Test for Automatic Contact Tracing in Infectious Disease Epidemics. IEEE Access 2019;7:20734
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Clyne W, Pezaro S, Deeny K, Kneafsey R. Using Social Media to Generate and Collect Primary Data: The #ShowsWorkplaceCompassion Twitter Research Campaign. JMIR Public Health and Surveillance 2018;4(2):e41
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Oldroyd RA, Morris MA, Birkin M. Identifying Methods for Monitoring Foodborne Illness: Review of Existing Public Health Surveillance Techniques. JMIR Public Health and Surveillance 2018;4(2):e57
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Raghupathi V, Zhou Y, Raghupathi W. Exploring Big Data Analytic Approaches to Cancer Blog Text Analysis. International Journal of Healthcare Information Systems and Informatics 2019;14(4):1
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Nsoesie E, Kluberg S, Mekaru S, Majumder M, Khan K, Hay S, Brownstein J. New digital technologies for the surveillance of infectious diseases at mass gathering events. Clinical Microbiology and Infection 2015;21(2):134
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Li EY, Tung C, Chang S. The wisdom of crowds in action: Forecasting epidemic diseases with a web-based prediction market system. International Journal of Medical Informatics 2016;92:35
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Puspitasari I, Firdauzy A. Characterizing Consumer Behavior in Leveraging Social Media for E-Patient and Health-Related Activities. International Journal of Environmental Research and Public Health 2019;16(18):3348
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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
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Lami F, Asi W, Khistawi A, Jawad I. Syndromic Surveillance of Communicable Diseases in Mobile Clinics During the Arbaeenia Mass Gathering in Wassit Governorate, Iraq, in 2014: Cross-Sectional Study. JMIR Public Health and Surveillance 2019;5(4):e10920
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Fleischauer AT, Gaines J. Enhancing Surveillance for Mass Gatherings: The Role of Syndromic Surveillance. Public Health Reports 2017;132(1_suppl):95S
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Shahid F, Ony SH, Albi TR, Chellappan S, Vashistha A, Islam ABMAA. Learning from Tweets: Opportunities and Challenges to Inform Policy Making During Dengue Epidemic. Proceedings of the ACM on Human-Computer Interaction 2020;4(CSCW1):1
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Krupenkin M, Rothschild D, Hill S, Yom-Tov E. President Trump Stress Disorder: Partisanship, Ethnicity, and Expressive Reporting of Mental Distress After the 2016 Election. SAGE Open 2019;9(1):215824401983086
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Mejova Y, Weber I, Fernandez-Luque L. Online Health Monitoring using Facebook Advertisement Audience Estimates in the United States: Evaluation Study. JMIR Public Health and Surveillance 2018;4(1):e30
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de Lusignan S, Shinneman S, Yonova I, van Vlymen J, Elliot AJ, Bolton F, Smith GE, O'Brien S. An Ontology to Improve Transparency in Case Definition and Increase Case Finding of Infectious Intestinal Disease: Database Study in English General Practice. JMIR Medical Informatics 2017;5(3):e34
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Schwab-Reese LM, Hovdestad W, Tonmyr L, Fluke J. The potential use of social media and other internet-related data and communications for child maltreatment surveillance and epidemiological research: Scoping review and recommendations. Child Abuse & Neglect 2018;85:187
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Yuan M, Boston-Fisher N, Luo Y, Verma A, Buckeridge DL. A systematic review of aberration detection algorithms used in public health surveillance. Journal of Biomedical Informatics 2019;94:103181
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Barros JM, Duggan J, Rebholz-Schuhmann D. The Application of Internet-Based Sources for Public Health Surveillance (Infoveillance): Systematic Review. Journal of Medical Internet Research 2020;22(3):e13680
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Elachola H, Gozzer E, Zhuo J, Sow S, Kattan R, Mimesh S, Al-Tawfiq J, Al-Sultan M, Memish Z. Mass gatherings: A one-stop opportunity to complement global disease surveillance. Journal of Health Specialties 2016;4(3):178
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Paul MJ, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1
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. 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
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Riccardo F, Manso MD, Caporali MG, Napoli C, Linge JP, Mantica E, Verile M, Piatti A, Pompa MG, Vellucci L, Costanzo V, Bastiampillai AJ, Gabrielli E, Gramegna M, Declich S. Event-Based Surveillance During EXPO Milan 2015: Rationale, Tools, Procedures, and Initial Results. Health Security 2016;14(3):161
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Lu FS, Hou S, Baltrusaitis K, Shah M, Leskovec J, Sosic R, Hawkins J, Brownstein J, Conidi G, Gunn J, Gray J, Zink A, Santillana M. Accurate Influenza Monitoring and Forecasting Using Novel Internet Data Streams: A Case Study in the Boston Metropolis. JMIR Public Health and Surveillance 2018;4(1):e4
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Gabarron E, Rivera-Romero O, Miron-Shatz T, Grainger R, Denecke K. Role of Participatory Health Informatics in Detecting and Managing Pandemics: Literature Review. Yearbook of Medical Informatics 2021;30(01):200
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Jiao J, Suarez GP, Fefferman NH, Perkins A. How public reaction to disease information across scales and the impacts of vector control methods influence disease prevalence and control efficacy. PLOS Computational Biology 2021;17(6):e1008762
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Hswen Y, Yom-Tov E. Analysis of a Vaping-Associated Lung Injury Outbreak through Participatory Surveillance and Archival Internet Data. International Journal of Environmental Research and Public Health 2021;18(15):8203
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Arinik N, Interdonato R, Roche M, Teisseire M. An Evaluation Framework for Comparing Epidemic Intelligence Systems. IEEE Access 2023;11:31880
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Zhang J, Xu W, Lei C, Pu Y, Zhang Y, Zhang J, Yu H, Su X, Huang Y, Gong R, Zhang L, Shi Q. Using Clinician-Patient WeChat Group Communication Data to Identify Symptom Burdens in Patients With Uterine Fibroids Under Focused Ultrasound Ablation Surgery Treatment: Qualitative Study. JMIR Formative Research 2023;7:e43995
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Abbasi-Perez A, Alvarez-Mon MA, Donat-Vargas C, Ortega MA, Monserrat J, Perez-Gomez A, Alvarez-Mon M. Using Twitter Data Analysis to Understand the Perceptions, Beliefs, and Attitudes about Pharmacotherapy Used in Rheumatology: An Observational Study. Healthcare 2023;11(11):1526
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Sunil Yadav , Dr. Munindra Kumar Singh , Pankaj Kumar . Data Mining Applications for Enhancing Healthcare Services: A Comprehensive Review. international journal of engineering technology and management sciences 2023;7(5):325
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.3156):
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Samaras L, García-Barriocanal E, Sicilia M. Innovation in Health Informatics. 2020. :39
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Mayer M, Fernández-Luque L, Leis A. Participatory Health Through Social Media. 2016. :67
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Rustagi S, Patel D. Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIII. 2020. Chapter 5:114
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Raghupathi V, Zhou Y, Raghupathi W. Research Anthology on Big Data Analytics, Architectures, and Applications. 2022. chapter 90:1843
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Detels R, Karim QA, Baum F, Li L, Leyland AH, Sullivan PS, Siegler AJ, Hightow-Weidman L. Oxford Textbook of Global Public Health. 2021. :29
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