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

Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1542) JMIR Theme Issue: COVID-19 Special Issue (2553) Outbreak and Pandemic Preparedness and Management (1826) Infectious Diseases (non-STD/STI) (1725) Surveillance Reports (157) Statistical Methods for Surveillance and Population Health (188) Participatory Epidemiology and Surveillance (127)

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 (9) Tweetations (5) Metrics

Journals

  1. Gertz A, Rader B, Sewalk K, Varrelman T, Smolinski M, Brownstein J. Decreased Seasonal Influenza Rates Detected in a Crowdsourced Influenza-Like Illness Surveillance System During the COVID-19 Pandemic: Prospective Cohort Study. JMIR Public Health and Surveillance 2023;9:e40216 View
  2. Dai P, Qi L, Jia M, Li T, Ran H, Jiang M, Tang W, Yan C, Yang W, Ren Y, Feng L. Healthcare-seeking behaviours of patients with acute respiratory infection: a cross-sectional survey in a rural area of southwest China. BMJ Open 2024;14(2):e077224 View
  3. Bolt K, Gil-González D, Oliver N. Unconventional data, unprecedented insights: leveraging non-traditional data during a pandemic. Frontiers in Public Health 2024;12 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. Chan C, Lee S, Kwan T, Wong S, Yeoh E, Wong N. Population Behavior Changes Underlying Phasic Shifts of SARS-CoV-2 Exposure Settings Across 3 Omicron Epidemic Waves in Hong Kong: Prospective Cohort Study. JMIR Public Health and Surveillance 2024;10:e51498 View
  6. McNeil C, Divi N, Bargeron IV C, Capobianco Dondona A, Ernst K, Gupta A, Fasominu O, Keatts L, Kelly T, Leal Neto O, Lwin M, Makhasi M, Mutagahywa E, Montecino-Latorre D, Olson S, Pandit P, Paolotti D, Parker M, Samad M, Sewalk K, Sheldenkar A, Srikitjakarn L, Suy Lan C, Wilkes M, Yano T, Smolinski M. Data Parameters From Participatory Surveillance Systems in Human, Animal, and Environmental Health From Around the Globe: Descriptive Analysis. JMIR Public Health and Surveillance 2025;11:e55356 View
  7. Liscano Y, Anillo Arrieta L, Montenegro J, Prieto-Alvarado D, Ordoñez J. Early Warning of Infectious Disease Outbreaks Using Social Media and Digital Data: A Scoping Review. International Journal of Environmental Research and Public Health 2025;22(7):1104 View
  8. Smolinski M, Divi N, Leal Neto O. Collaborative Surveillance: Using a Minimum Set of Key Data Parameters for One Health Participatory Surveillance. JMIR Public Health and Surveillance 2025;11:e77448 View
  9. Sawadogo S, Tiendrébéogo F, Tibiri E, Name P, Djigma F, Traoré L, Pita J, Eni A. Cassava mosaic disease in Burkina Faso: epidemiological aspects and disease management perspectives. Discover Agriculture 2025;3(1) View