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

Presentations, Abstracts, or Demonstrations (740) Public Health Surveillance Practice (163) Influenza and Influenza-Like-Illness (ILI) Surveillance (219)

Published on in Vol 5, No 1 (2013):

Flu Near You: An Online Self-reported Influenza Surveillance System in the USA

Flu Near You: An Online Self-reported Influenza Surveillance System in the USA

Flu Near You: An Online Self-reported Influenza Surveillance System in the USA

Authors of this article:

Rumi Chunara1 ;   Susan Aman2 ;   Mark Smolinski3 ;   John S. Brownstein1
The full text of this article is available as a PDF download by clicking here.
Article Authors Cited by (45) Tweetations Metrics

Journals

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  16. Leal Neto O, Paolotti D, Dalton C, Carlson S, Susumpow P, Parker M, Phetra P, Lau E, Colizza V, Jan van Hoek A, Kjelsø C, Brownstein J, Smolinski M. Enabling Multicentric Participatory Disease Surveillance for Global Health Enhancement: Viewpoint on Global Flu View. JMIR Public Health and Surveillance 2023;9:e46644 View
  17. Varrelman T, Rader B, Remmel C, Tuli G, Han A, Astley C, Brownstein J. Vaccine effectiveness against emerging COVID-19 variants using digital health data. Communications Medicine 2024;4(1) View
  18. Huang D, Wang J, Huang J, Sui D, Zhang H, Hu M, Xu C, Salathé M. Towards Identifying and Reducing the Bias of Disease Information Extracted from Search Engine Data. PLOS Computational Biology 2016;12(6):e1004876 View
  19. 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 View
  20. Liu D, Mitchell L, Cope R, Carlson S, Ross J. Elucidating user behaviours in a digital health surveillance system to correct prevalence estimates. Epidemics 2020;33:100404 View
  21. Broniatowski D, Dredze M, Paul M, Dugas A. Using Social Media to Perform Local Influenza Surveillance in an Inner-City Hospital: A Retrospective Observational Study. JMIR Public Health and Surveillance 2015;1(1):e5 View
  22. Althouse B, Scarpino S, Meyers L, Ayers J, Bargsten M, Baumbach J, Brownstein J, Castro L, Clapham H, Cummings D, Del Valle S, Eubank S, Fairchild G, Finelli L, Generous N, George D, Harper D, Hébert-Dufresne L, Johansson M, Konty K, Lipsitch M, Milinovich G, Miller J, Nsoesie E, Olson D, Paul M, Polgreen P, Priedhorsky R, Read J, Rodríguez-Barraquer I, Smith D, Stefansen C, Swerdlow D, Thompson D, Vespignani A, Wesolowski A. Enhancing disease surveillance with novel data streams: challenges and opportunities. EPJ Data Science 2015;4(1) View
  23. Baltrusaitis K, Santillana M, Crawley A, Chunara R, Smolinski M, Brownstein J. Determinants of Participants’ Follow-Up and Characterization of Representativeness in Flu Near You, A Participatory Disease Surveillance System. JMIR Public Health and Surveillance 2017;3(2):e18 View
  24. Koppeschaar C, Colizza V, Guerrisi C, Turbelin C, Duggan J, Edmunds W, Kjelsø C, Mexia R, Moreno Y, Meloni S, Paolotti D, Perrotta D, van Straten E, Franco A. Influenzanet: Citizens Among 10 Countries Collaborating to Monitor Influenza in Europe. JMIR Public Health and Surveillance 2017;3(3):e66 View
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  28. 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 View
  29. Farrow D, Brooks L, Hyun S, Tibshirani R, Burke D, Rosenfeld R, Alizon S. A human judgment approach to epidemiological forecasting. PLOS Computational Biology 2017;13(3):e1005248 View
  30. Wazny K. Crowdsourcing’s ten years in: A review. Journal of Global Health 2017;7(2) View
  31. Reese H, Iuliano A, Patel N, Garg S, Kim L, Silk B, Hall A, Fry A, Reed C. Estimated Incidence of Coronavirus Disease 2019 (COVID-19) Illness and Hospitalization—United States, February–September 2020. Clinical Infectious Diseases 2021;72(12):e1010 View
  32. Yano T, Phornwisetsirikun S, Susumpow P, Visrutaratna S, Chanachai K, Phetra P, Chaisowwong W, Trakarnsirinont P, Hemwan P, Kaewpinta B, Singhapreecha C, Kreausukon K, Charoenpanyanet A, Robert C, Robert L, Rodtian P, Mahasing S, Laiya E, Pattamakaew S, Tankitiyanon T, Sansamur C, Srikitjakarn L. A Participatory System for Preventing Pandemics of Animal Origins: Pilot Study of the Participatory One Health Disease Detection (PODD) System. JMIR Public Health and Surveillance 2018;4(1):e25 View
  33. Shausan A, Nazarathy Y, Dyda A. Emerging data inputs for infectious diseases surveillance and decision making. Frontiers in Digital Health 2023;5 View
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Books/Policy Documents

  1. Espey J, Dahmm H. Handbook of Global Health. View
  2. Espey J, Dahmm H. Handbook of Global Health. View