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

Outbreak and Pandemic Preparedness and Management (1792) JMIR Theme Issue: COVID-19 Special Issue (2510) Surveillance Systems (498) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1537) Infectious Diseases (non-STD/STI) (1670) Hygiene and Infection Prevention (350) Statistical Methods for Surveillance and Population Health (175) New Methods (1054) Innovative Methods in Public Health and Surveillance (364)

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

Authors of this article:

Claire Donnat1 Author Orcid Image ;   Freddy Bunbury2 Author Orcid Image ;   Jack Kreindler3 Author Orcid Image ;   David Liu1 Author Orcid Image ;   Filippos T Filippidis3 Author Orcid Image ;   Tonu Esko4 Author Orcid Image ;   Austen El-Osta3 Author Orcid Image ;   Matthew Harris3 Author Orcid Image
Article Authors Cited by (7) Tweetations (21) Metrics

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
  5. Ana Vieira de Souza , Andréia de Fátima Gonçalves Quintão , Gabriela Júnia Rezende Santos , Ricardo Bageto Vespoli , Bergamaschine Mata Diz J. Idosos, homens e sedentários tiveram maior número de hospitalizações por COVID-19: prevalência e fatores associados em Barbacena-MG, Brasil, 2021-2022. HSJ 2024;14:e1559 View
  6. Ashcroft T, McSwiggan E, Agyei-Manu E, Nundy M, Atkins N, Kirkwood J, Ben Salem Machiri M, Vardhan V, Lee B, Kubat E, Ravishankar S, Krishan P, De Silva U, Iyahen E, Rostron J, Zawiejska A, Ogarrio K, Harikar M, Chishty S, Mureyi D, Evans B, Duval D, Carville S, Brini S, Hill J, Qureshi M, Simmons Z, Lyell I, Kavoi T, Dozier M, Curry G, Ordóñez-Mena J, de Lusignan S, Sheikh A, Theodoratou E, McQuillan R. Effectiveness of non-pharmaceutical interventions as implemented in the UK during the COVID-19 pandemic: a rapid review. Journal of Public Health 2025;47(2):268 View
  7. Alshammari S, Ba-Aoum M, Alganmi N, Showail A. Modeling Infectious Disease Epidemics in Mass Religious Gatherings: A Systematic Review. ACM Transactions on Modeling and Computer Simulation 2025;35(3):1 View