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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2021
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Materias: | |
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 |
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