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

Infodemiology and Infoveillance (1349) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Medicine 2.0'13 London (Full Paper of Conference Presentation) (30)

Published on in Vol 16, No 6 (2014): June

Detecting Disease Outbreaks in Mass Gatherings Using Internet Data

Detecting Disease Outbreaks in Mass Gatherings Using Internet Data

Detecting Disease Outbreaks in Mass Gatherings Using Internet Data

Authors of this article:

Elad Yom-Tov1 ;   Diana Borsa2 ;   Ingemar J Cox3, 4 ;   Rachel A McKendry5
Article Authors Cited by (54) Tweetations (33) Metrics

Journals

  1. Shah G, Leider J, 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 View
  2. Nayak S, Blumenfeld N, Laksanasopin T, Sia S. Point-of-Care Diagnostics: Recent Developments in a Connected Age. Analytical Chemistry 2017;89(1):102 View
  3. 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 View
  4. 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 View
  5. 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 View
  6. 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 View
  7. 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 View
  8. Lee J, DeCamp M, Dredze M, Chisolm M, Berger Z. 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 View
  9. Tabatabaei S, Metanat M. Mass Gatherings and Infectious Diseases Epidemiology and Surveillance. International Journal of Infection 2015;2(2) View
  10. 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) View
  11. SPRECO A, ERIKSSON O, DAHLSTRÖM Ö, TIMPKA T. Influenza detection and prediction algorithms: comparative accuracy trial in Östergötland county, Sweden, 2008–2012. Epidemiology and Infection 2017;145(10):2166 View
  12. Conway M, O’Connor D. Social media, big data, and mental health: current advances and ethical implications. Current Opinion in Psychology 2016;9:77 View
  13. Couturier J, Sola D. How innovations will boost adult immunisation programmes in the UK. British Journal of Healthcare Management 2015;21(3):136 View
  14. 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 View
  15. 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 View
  16. Oldroyd R, Morris M, Birkin M. Identifying Methods for Monitoring Foodborne Illness: Review of Existing Public Health Surveillance Techniques. JMIR Public Health and Surveillance 2018;4(2):e57 View
  17. 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 View
  18. 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 View
  19. Li E, 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 View
  20. 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 View
  21. 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 View
  22. 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 View
  23. Fleischauer A, Gaines J. Enhancing Surveillance for Mass Gatherings: The Role of Syndromic Surveillance. Public Health Reports® 2017;132(1_suppl):95S View
  24. Shahid F, Ony S, Albi T, Chellappan S, Vashistha A, Islam A. 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 View
  25. 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) View
  26. 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 View
  27. de Lusignan S, Shinneman S, Yonova I, van Vlymen J, Elliot A, Bolton F, Smith G, 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 View
  28. Schwab-Reese L, 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 View
  29. Yuan M, Boston-Fisher N, Luo Y, Verma A, Buckeridge D. A systematic review of aberration detection algorithms used in public health surveillance. Journal of Biomedical Informatics 2019;94:103181 View
  30. Barros J, 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 View
  31. 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 View
  32. Paul M, Dredze M. Social Monitoring for Public Health. Synthesis Lectures on Information Concepts, Retrieval, and Services 2017;9(5):1 View
  33. Conway M. 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 View
  34. Riccardo F, Manso M, Caporali M, Napoli C, Linge J, Mantica E, Verile M, Piatti A, Pompa M, Vellucci L, Costanzo V, Bastiampillai A, 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 View
  35. Lu F, 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 View
  36. 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 View
  37. Jiao J, Suarez G, Fefferman N, 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 View
  38. 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 View
  39. Arinik N, Interdonato R, Roche M, Teisseire M. An Evaluation Framework for Comparing Epidemic Intelligence Systems. IEEE Access 2023;11:31880 View
  40. 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 View
  41. Abbasi-Perez A, Alvarez-Mon M, Donat-Vargas C, Ortega M, 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 View
  42. 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 View

Books/Policy Documents

  1. Samaras L, García-Barriocanal E, Sicilia M. Innovation in Health Informatics. View
  2. Mayer M, Fernández-Luque L, Leis A. Participatory Health Through Social Media. View
  3. Rustagi S, Patel D. Transactions on Large-Scale Data- and Knowledge-Centered Systems XLIII. View
  4. Raghupathi V, Zhou Y, Raghupathi W. Research Anthology on Big Data Analytics, Architectures, and Applications. View
  5. Detels R, Karim Q, Baum F, Li L, Leyland A, Sullivan P, Siegler A, Hightow-Weidman L. Oxford Textbook of Global Public Health. View