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

Participatory Epidemiology and Surveillance (93) Crowdsourcing and Mechanical Turks (86) Infectious Diseases (non-STD/STI) (1252) Influenza and Influenza-Like-Illness (ILI) Surveillance (87) Surveillance Systems (369) mHealth for Data Collection and Research (699)

Published on in Vol 3 , No 4 (2017) :Oct-Dec

Will Participatory Syndromic Surveillance Work in Latin America? Piloting a Mobile Approach to Crowdsource Influenza-Like Illness Data in Guatemala

Will Participatory Syndromic Surveillance Work in Latin America? Piloting a Mobile Approach to Crowdsource Influenza-Like Illness Data in Guatemala

Will Participatory Syndromic Surveillance Work in Latin America? Piloting a Mobile Approach to Crowdsource Influenza-Like Illness Data in Guatemala

Authors of this article:

José Tomás Prieto 1, 2 Author Orcid Image ;   Jorge H Jara 2 Author Orcid Image ;   Juan Pablo Alvis 2 Author Orcid Image ;   Luis R Furlan 3 Author Orcid Image ;   Christian Travis Murray 2 Author Orcid Image ;   Judith Garcia 4 Author Orcid Image ;   Pierre-Jean Benghozi 1 Author Orcid Image ;   Susan Cornelia Kaydos-Daniels 5 Author Orcid Image
Article Authors Cited by (8) Tweetations (9) Metrics

Journals

  1. Créquit P, Mansouri G, Benchoufi M, Vivot A, Ravaud P. Mapping of Crowdsourcing in Health: Systematic Review. Journal of Medical Internet Research 2018;20(5):e187 View
  2. 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
  3. Ibrahim N. Epidemiologic surveillance for controlling Covid-19 pandemic: types, challenges and implications. Journal of Infection and Public Health 2020;13(11):1630 View
  4. Eze E, Gleasure R, Heavin C. Mobile health solutions in developing countries: a stakeholder perspective. Health Systems 2020;9(3):179 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. 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
  7. Karageorgos G, Andreadis I, Psychas K, Mourkousis G, Kiourti A, Lazzi G, Nikita K. The Promise of Mobile Technologies for the Health Care System in the Developing World: A Systematic Review. IEEE Reviews in Biomedical Engineering 2019;12:100 View

Books/Policy Documents

  1. Benghozi P. Les impacts durables de la crise sur le management. View