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

BackgroundThe 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 syndrom...

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Bibliographic Details
Main Authors: David De Ridder, Andrea Jutta Loizeau, José Luis Sandoval, Frédéric Ehrler, Myriam Perrier, Albert Ritch, Guillemette Violot, Marc Santolini, Bastian Greshake Tzovaras, Silvia Stringhini, Laurent Kaiser, Jean-François Pradeau, Stéphane Joost, Idris Guessous
Format: Article
Language:English
Published: JMIR Publications 2021-10-01
Series:JMIR Research Protocols
Online Access:https://www.researchprotocols.org/2021/10/e30444

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https://www.researchprotocols.org/2021/10/e30444

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