Published on in Vol 7, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30648, first published .
Predicting COVID-19 Transmission to Inform the Management of Mass Events: Model-Based Approach

Predicting COVID-19 Transmission to Inform the Management of Mass Events: Model-Based Approach

Predicting COVID-19 Transmission to Inform the Management of Mass Events: Model-Based Approach

Journals

  1. Dallera G, Alaa A, El-Osta A, Kreindler J, Harris M. Evaluating the feasibility and acceptability of a safety protocol to mitigate SARS-CoV-2 transmission risks when participating in full-capacity live mass events: a cross-sectional survey and interview-based study. BMJ Open 2022;12(12):e063838 View
  2. Duval D, Evans B, Sanders A, Hill J, Simbo A, Kavoi T, Lyell I, Simmons Z, Qureshi M, Pearce-Smith N, Arevalo C, Beck C, Bindra R, Oliver I. Non-pharmaceutical interventions to reduce COVID-19 transmission in the UK: a rapid mapping review and interactive evidence gap map. Journal of Public Health 2024;46(2):e279 View
  3. Douglas I, Peh J, Mansfield K, Trelfa A, Fowler T, Boulter M, Cleary P, Smith J, Edmunds W. A self-controlled case series study to measure the risk of SARS-CoV-2 infection associated with attendance at sporting and cultural events: the UK Events Research Programme events. BMC Medicine 2024;22(1) View
  4. Chu A, Kwok P, Chan J, So M. COVID-19 Pandemic Risk Assessment: Systematic Review. Risk Management and Healthcare Policy 2024;Volume 17:903 View