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

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