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 Early Detection of Cholera-like Diarrheal Diseases Outbreaks in Rural Villages in Malawi - a prospective cohort. (Preprint). JMIR Public Health and Surveillance 2023 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