Exploring a targeted approach for public health capacity restrictions during COVID-19 using a new computational model
Micuda A.N. Anderson M.R. Babayan I. Bolger E. Cantin L. Groth G. Pressman-Cyna R. Reed C.Z. Rowe N.J. Shafiee M. Tam B. Vidal M.C. Ye T. Martin R.D.
March 2024KeAi Communications Co.
Infectious Disease Modelling
2024#9Issue 1234 - 244 pp.
This work introduces the Queens University Agent-Based Outbreak Outcome Model (QUABOOM). This tool is an agent-based Monte Carlo simulation for modelling epidemics and informing public health policy. We illustrate the use of the model by examining capacity restrictions during a lockdown. We find that public health measures should focus on the few locations where many people interact, such as grocery stores, rather than the many locations where few people interact, such as small businesses. We also discuss a case where the results of the simulation can be scaled to larger population sizes, thereby improving computational efficiency.
Agent-based epidemic modelling , Basic reproductive number , COVID-19 , Monte-carlo , Public health , Small business capacity restrictions
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Department of Physics, Engineering Physics & Astronomy, Queens University, Kingston, ON, Canada
Department of Medical Biophysics, Western University, London, ON, Canada
Department of Mathematics and Statistics, Queens University, Kingston, ON, Canada
Department of Biology, Queens University, Kingston, ON, Canada
Department of Electrical and Computer Engineering, Nazarbayev University, Nur-Sultan, Kazakhstan
Energetic Cosmos Laboratory, Nazarbayev University, Nur-Sultan, Kazakhstan
School of Computing, Queens University, Kingston, ON, Canada
Department of Biomedical and Molecular Sciences, Queens University, Kingston, ON, Canada
Department of Physics, University of Oxford, Oxford, United Kingdom
Department of Physics, Stanford University, Stanford, CA, United States
Department of Physics
Department of Medical Biophysics
Department of Mathematics and Statistics
Department of Biology
Department of Electrical and Computer Engineering
Energetic Cosmos Laboratory
School of Computing
Department of Biomedical and Molecular Sciences
Department of Physics
Department of Physics
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