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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) JMIR Theme Issue: COVID-19 Special Issue (2452) Outbreak and Pandemic Preparedness and Management (1727) Infectious Diseases (non-STD/STI) (1575) Surveillance Reports (137) Statistical Methods for Surveillance and Population Health (156) Participatory Epidemiology and Surveillance (119)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44517, first published .
Participatory Surveillance for COVID-19 Trend Detection in Brazil: Cross-sectional Study

Participatory Surveillance for COVID-19 Trend Detection in Brazil: Cross-sectional Study

Participatory Surveillance for COVID-19 Trend Detection in Brazil: Cross-sectional Study

Authors of this article:

Salome Wittwer1 Author Orcid Image ;   Daniela Paolotti2 Author Orcid Image ;   Guilherme Lichand1 Author Orcid Image ;   Onicio Leal Neto3 Author Orcid Image
Article Authors Cited by (5) Tweetations (5) Metrics

Salome Wittwer   1 , MA ;   Daniela Paolotti   2 , PhD ;   Guilherme Lichand   1 , PhD ;   Onicio Leal Neto   3 , PhD

1 Department of Economics, University of Zurich, Zurich, Switzerland

2 Data Science for Social Impact and Sustainability, ISI Foundation, Turin, Italy

3 Institute for Information Security, Department of Computer Science, ETH Zürich, Zurich, Switzerland

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