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

Participatory Epidemiology and Surveillance (119) Innovative Methods in Public Health and Surveillance (332) JMIR Theme Issue: COVID-19 Special Issue (2452) Infectious Diseases (non-STD/STI) (1575) Outbreak and Pandemic Preparedness and Management (1727) Nosocomial Infections (20) Hygiene and Infection Prevention (317) Epidemiology (159) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Surveillance Systems (462) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (832) Occupational Health and Ergonomics/Prevention at the Workplace (238)

Published on in Vol 7, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33576, first published .
Digital SARS-CoV-2 Detection Among Hospital Employees: Participatory Surveillance Study

Digital SARS-CoV-2 Detection Among Hospital Employees: Participatory Surveillance Study

Digital SARS-CoV-2 Detection Among Hospital Employees: Participatory Surveillance Study

Authors of this article:

Onicio Leal-Neto1 Author Orcid Image ;   Thomas Egger2 Author Orcid Image ;   Matthias Schlegel2 Author Orcid Image ;   Domenica Flury2 Author Orcid Image ;   Johannes Sumer2 Author Orcid Image ;   Werner Albrich2 Author Orcid Image ;   Baharak Babouee Flury2, 3 Author Orcid Image ;   Stefan Kuster4 Author Orcid Image ;   Pietro Vernazza2 Author Orcid Image ;   Christian Kahlert2, 5 Author Orcid Image ;   Philipp Kohler2 Author Orcid Image
Article Authors Cited by (5) Tweetations (5) Metrics

Journals

  1. Pandit J, Radin J, Quer G, Topol E. Smartphone apps in the COVID-19 pandemic. Nature Biotechnology 2022;40(7):1013 View
  2. Leal Neto O, Paolotti D, Dalton C, Carlson S, Susumpow P, Parker M, Phetra P, Lau E, Colizza V, Jan van Hoek A, Kjelsø C, Brownstein J, Smolinski M. Enabling Multicentric Participatory Disease Surveillance for Global Health Enhancement: Viewpoint on Global Flu View. JMIR Public Health and Surveillance 2023;9:e46644 View
  3. Cuff J, Dighe S, Watson S, Badell-Grau R, Weightman A, Jones D, Kille P. Monitoring SARS-CoV-2 Using Infoveillance, National Reporting Data, and Wastewater in Wales, United Kingdom: Mixed Methods Study. JMIR Infodemiology 2023;3:e43891 View
  4. Valerio M, Laher B, Phuka J, Lichand G, Paolotti D, Leal Neto O. Participatory Disease Surveillance for the Early Detection of Cholera-Like Diarrheal Disease Outbreaks in Rural Villages in Malawi: Prospective Cohort Study. JMIR Public Health and Surveillance 2024;10:e49539 View
  5. Marley G, Dako-Gyeke P, Nepal P, Rajgopal R, Koko E, Chen E, Nuamah K, Osei K, Hofkirchner H, Marks M, Tucker J, Eggo R, Ampofo W, Sylvia S. Collective Intelligence–Based Participatory COVID-19 Surveillance in Accra, Ghana: Pilot Mixed Methods Study. JMIR Infodemiology 2024;4:e50125 View