Published on in Vol 7, No 10 (2019): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14276, first published .
The Fever Coach Mobile App for Participatory Influenza Surveillance in Children: Usability Study

The Fever Coach Mobile App for Participatory Influenza Surveillance in Children: Usability Study

The Fever Coach Mobile App for Participatory Influenza Surveillance in Children: Usability Study

Journals

  1. Choo H, Kim M, Choi J, Shin J, Shin S. Influenza Screening via Deep Learning Using a Combination of Epidemiological and Patient-Generated Health Data: Development and Validation Study. Journal of Medical Internet Research 2020;22(10):e21369 View
  2. Aslani N, Lazem M, Mahdavi S, Garavand A. A Review of Mobile Health Applications in Epidemic and Pandemic Outbreaks: Lessons Learned for COVID-19. Archives of Clinical Infectious Diseases 2020;15(4) View
  3. Chien S, Islam M, Yeh C, Chien P, Chen C, Chin Y, Lin M. Mutual-Aid Mobile App for Emergency Care: Feasibility Study. JMIR Formative Research 2020;4(3):e15494 View
  4. 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
  5. Wirth F, Johns M, Meurers T, Prasser F. Citizen-Centered Mobile Health Apps Collecting Individual-Level Spatial Data for Infectious Disease Management: Scoping Review. JMIR mHealth and uHealth 2020;8(11):e22594 View
  6. Schwarz S, Martin D, Büssing A, Kulikova O, Krafft H, Gwiasda M, Hamideh Kerdar S, Fingerhut I, Jenetzky E. Sociodemographic Characteristics and Interests of FeverApp Users. International Journal of Environmental Research and Public Health 2021;18(6):3121 View
  7. Park Y, Kim H, Park J, Ahn S, Chang S, Shin J, Kim M, Lee J. Comparative Analysis of Single and Combined Antipyretics Using Patient-Generated Health Data: Retrospective Observational Study. JMIR mHealth and uHealth 2021;9(5):e21668 View
  8. Stewart E, Milton A, Yee H, Song M, Roberts A, Davenport T, Hickie I. eHealth Tools That Assess and Track Health and Well-being in Children and Young People: Systematic Review. Journal of Medical Internet Research 2022;24(5):e26015 View
  9. Hammond A, Kim J, Sadler H, Vandemaele K. Influenza surveillance systems using traditional and alternative sources of data: A scoping review. Influenza and Other Respiratory Viruses 2022;16(6):965 View
  10. Katayama Y, Kiyohara K, Hirose T, Ishida K, Tachino J, Nakao S, Noda T, Ojima M, Kiguchi T, Matsuyama T, Kitamura T. An Association of Influenza Epidemics in Children With Mobile App Data: Population-Based Observational Study in Osaka, Japan. JMIR Formative Research 2022;6(2):e31131 View
  11. 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
  12. Atkins N, Harikar M, Duggan K, Zawiejska A, Vardhan V, Vokey L, Dozier M, de los Godos E, Mcswiggan E, Mcquillan R, Theodoratou E, Shi T. What are the characteristics of participatory surveillance systems for influenza-like-illness?. Journal of Global Health 2023;13 View

Books/Policy Documents

  1. Uwaoma C, Aladi C. Optimizing Health Monitoring Systems With Wireless Technology. View