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

Participatory Research Protocols and Proposals (79) JMIR Theme Issue: COVID-19 Special Issue (2087) Infectious Diseases (non-STD/STI) (1223) Surveillance Systems (359) Innovative Methods in Public Health and Surveillance (241) Outbreak and Pandemic Preparedness and Management (1453) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1330) GIS (Geographic Information Systems) Applications in Public Health and Spatial Epidemiology (67) Epidemiology (94) Theme Issue: Apps for COVID-19 (#Apps4Covid) (122) Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (121) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1030)

Published on in Vol 10 , No 10 (2021) :October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30444, first published .
Detection of Spatiotemporal Clusters of COVID-19–Associated Symptoms and Prevention Using a Participatory Surveillance App: Protocol for the @choum Study

Detection of Spatiotemporal Clusters of COVID-19–Associated Symptoms and Prevention Using a Participatory Surveillance App: Protocol for the @choum Study

Detection of Spatiotemporal Clusters of COVID-19–Associated Symptoms and Prevention Using a Participatory Surveillance App: Protocol for the @choum Study

Authors of this article:

David De Ridder 1, 2, 3, 4 Author Orcid Image ;   Andrea Jutta Loizeau 3, 4 Author Orcid Image ;   José Luis Sandoval 2, 5 Author Orcid Image ;   Frédéric Ehrler 6 Author Orcid Image ;   Myriam Perrier 6 Author Orcid Image ;   Albert Ritch 6 Author Orcid Image ;   Guillemette Violot 7 Author Orcid Image ;   Marc Santolini 8 Author Orcid Image ;   Bastian Greshake Tzovaras 8 Author Orcid Image ;   Silvia Stringhini 3, 4 Author Orcid Image ;   Laurent Kaiser 4, 9, 10 Author Orcid Image ;   Jean-François Pradeau 6 Author Orcid Image ;   Stéphane Joost 1, 2 Author Orcid Image ;   Idris Guessous 1, 2, 3, 4 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Saheb T, Sabour E, Qanbary F, Saheb T. Delineating privacy aspects of COVID tracing applications embedded with proximity measurement technologies & digital technologies. Technology in Society 2022;69:101968 View
  2. Lan Y, Delmelle E. Space-time cluster detection techniques for infectious diseases: A systematic review. Spatial and Spatio-temporal Epidemiology 2023;44:100563 View