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

BACKGROUND: The early detection of clusters of infectious diseases such as the SARS-CoV-2–related COVID-19 disease can promote timely testing recommendation compliance and help to prevent disease outbreaks. Prior research revealed the potential of COVID-19 participatory syndromic surveillance system...

Descripción completa

Detalles Bibliográficos
Autores principales: De Ridder, David, Loizeau, Andrea Jutta, Sandoval, José Luis, Ehrler, Frédéric, Perrier, Myriam, Ritch, Albert, Violot, Guillemette, Santolini, Marc, Greshake Tzovaras, Bastian, Stringhini, Silvia, Kaiser, Laurent, Pradeau, Jean-François, Joost, Stéphane, Guessous, Idris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8496683/
https://www.ncbi.nlm.nih.gov/pubmed/34449403
http://dx.doi.org/10.2196/30444

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8496683/
https://www.ncbi.nlm.nih.gov/pubmed/34449403
http://dx.doi.org/10.2196/30444

Ejemplares similares