Published on in Vol 3, No 3 (2017): Jul-Sept

Insights From Flutracking: Thirteen Tips to Growing a Web-Based Participatory Surveillance System

Insights From Flutracking: Thirteen Tips to Growing a Web-Based Participatory Surveillance System

Insights From Flutracking: Thirteen Tips to Growing a Web-Based Participatory Surveillance System

Journals

  1. Leal Neto O, Cruz O, Albuquerque J, Nacarato de Sousa M, Smolinski M, Pessoa Cesse E, Libel M, Vieira de Souza W. Participatory Surveillance Based on Crowdsourcing During the Rio 2016 Olympic Games Using the Guardians of Health Platform: Descriptive Study. JMIR Public Health and Surveillance 2020;6(2):e16119 View
  2. Prieto J, Jara J, Alvis J, Furlan L, Murray C, Garcia J, Benghozi P, Kaydos-Daniels S. 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 View
  3. Smolinski M, Crawley A, Olsen J, 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 View
  4. Chan T, Hu T, Hwang J. Estimating the Risk of Influenza-Like Illness Transmission Through Social Contacts: Web-Based Participatory Cohort Study. JMIR Public Health and Surveillance 2018;4(2):e40 View
  5. Stewart R, Rossow J, Eckel S, Bidol S, Ballew G, Signs K, Conover J, Burns E, Bresee J, Fry A, Olsen S, Biggerstaff M. Text-Based Illness Monitoring for Detection of Novel Influenza A Virus Infections During an Influenza A (H3N2)v Virus Outbreak in Michigan, 2016: Surveillance and Survey. JMIR Public Health and Surveillance 2019;5(2):e10842 View
  6. Baltrusaitis K, Brownstein J, Scarpino S, Bakota E, Crawley A, Conidi G, Gunn J, Gray J, Zink A, Santillana M. Comparison of crowd-sourced, electronic health records based, and traditional health-care based influenza-tracking systems at multiple spatial resolutions in the United States of America. BMC Infectious Diseases 2018;18(1) View
  7. Kim M, Yune S, Chang S, Jung Y, Sa S, Han H. The Fever Coach Mobile App for Participatory Influenza Surveillance in Children: Usability Study. JMIR mHealth and uHealth 2019;7(10):e14276 View
  8. Olson D, Lamb M, Lopez M, Colborn K, Paniagua-Avila A, Zacarias A, Zambrano-Perilla R, Rodríguez-Castro S, Cordon-Rosales C, Asturias E. Performance of a Mobile Phone App-Based Participatory Syndromic Surveillance System for Acute Febrile Illness and Acute Gastroenteritis in Rural Guatemala. Journal of Medical Internet Research 2017;19(11):e368 View
  9. Lyon V, Zigman Suchsland M, Chilver M, Stocks N, Lutz B, Su P, Cooper S, Park C, Lavitt L, Mariakakis A, Patel S, Graham C, Rieder M, LeRouge C, Thompson M. Diagnostic accuracy of an app-guided, self-administered test for influenza among individuals presenting to general practice with influenza-like illness: study protocol. BMJ Open 2020;10(11):e036298 View
  10. Masthi R, Jahan A, Bharathi D, Abhilash P, Kaniyarakkal V, TV S, Gowda G, TS R, Goud R, Rao S, Hegde A. Postcode based participatory disease surveillance systems : a comparison with traditional risk-based surveillance and its application in the COVID-19 pandemic (Preprint). JMIR Public Health and Surveillance 2020 View
  11. von Wyl V. Challenges for Nontechnical Implementation of Digital Proximity Tracing During the COVID-19 Pandemic: Media Analysis of the SwissCovid App. JMIR mHealth and uHealth 2021;9(2):e25345 View
  12. Zigman Suchsland M, Rahmatullah I, Lutz B, Lyon V, Huang S, Kline E, Graham C, Cooper S, Su P, Smedinghoff S, Chu H, Sewalk K, Brownstein J, Thompson M. Evaluating an app-guided self-test for influenza: lessons learned for improving the feasibility of study designs to evaluate self-tests for respiratory viruses. BMC Infectious Diseases 2021;21(1) View
  13. Daniore P, Nittas V, von Wyl V. Enrollment and Retention of Participants in Remote Digital Health Studies: Scoping Review and Framework Proposal. Journal of Medical Internet Research 2022;24(9):e39910 View
  14. Chen H, Yang B, Pei H, Liu J. Next Generation Technology for Epidemic Prevention and Control: Data-Driven Contact Tracking. IEEE Access 2019;7:2633 View
  15. 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
  16. Moss R, Price D, Golding N, Dawson P, McVernon J, Hyndman R, Shearer F, McCaw J. Forecasting COVID-19 activity in Australia to support pandemic response: May to October 2020. Scientific Reports 2023;13(1) View
  17. Hsiao K, Quinn E, Johnstone T, Gomez M, Ingleton A, Parasuraman A, Najjar Z, Gupta L. A novel web-based application for influenza and COVID-19 outbreak detection and response in residential aged care facilities (Preprint). JMIR Public Health and Surveillance 2022 View
  18. Dias-Karunaratne N, Whop L, Ward J, Vujovich-Dunn C, Amin J, Dakiniewich A, Dyda A. Representation of marginalised populations in digital surveillance for notifiable conditions in Australia: a systematic review. Perspectives in Public Health 2024;144(3):162 View

Books/Policy Documents

  1. Samaras L, García-Barriocanal E, Sicilia M. Innovation in Health Informatics. View
  2. Abdalla M, Anter A. Nature-Inspired Methods for Smart Healthcare Systems and Medical Data. View