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

David De Ridder 1, 2, 3, 4*, PhD;  Andrea Jutta Loizeau 3, 4*, PhD;  José Luis Sandoval 2, 5, MD, PhD;  Frédéric Ehrler 6, PhD;  Myriam Perrier 6, MSc;  Albert Ritch 6, MSc;  Guillemette Violot 7, MSc;  Marc Santolini 8, PhD;  Bastian Greshake Tzovaras 8, PhD;  Silvia Stringhini 3, 4, PhD;  Laurent Kaiser 4, 9, 10, MD, PhD;  Jean-François Pradeau 6, MSc;  Stéphane Joost 1, 2, PhD;  Idris Guessous 1, 2, 3, 4, MD, PhD

1 Laboratory of Geographic Information Systems, School of Architecture, Civil and Environmental Engineering, Swiss Federal Institute of Technology Lausanne, Lausanne , CH

2 Group of Geographic Information Research and Analysis in Population Health, Geneva University Hospitals , Geneva , CH

3 Division of Primary Care, Geneva University Hospitals , Geneva , CH

4 Department of Health and Community Medicine, Faculty of Medicine, University of Geneva, Geneva , CH

5 Department of Oncology, Geneva University Hospitals , Geneva , CH

6 Direction of Information Systems, Geneva University Hospitals , Geneva , CH

7 Communication Directorate, Geneva University Hospitals , Geneva , CH

8 Center for Research and Interdisciplinarity, INSERM U1284, University of Paris, Paris , FR

9 Division of Infectious Disease and Laboratory of Virology, Geneva University Hospitals , Geneva , CH

10 Center for Emerging Viral Diseases, Geneva University Hospitals , Geneva , CH

*these authors contributed equally

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