Exploring a targeted approach for public health capacity restrictions during COVID-19 using a new computational model

Ashley N. Micuda; Mark R. Anderson; Irina Babayan; Erin Bolger; Logan Cantin; Gillian Groth; Ry Pressman-Cyna; Charlotte Z. Reed; Noah J. Rowe; Mehdi Shafiee; Benjamin Tam; Marie C. Vidal; Tianai Ye; Ryan D. Martin

Infectious Disease Modelling (Mar 2024)

Exploring a targeted approach for public health capacity restrictions during COVID-19 using a new computational model

Ashley N. Micuda,
Mark R. Anderson,
Irina Babayan,
Erin Bolger,
Logan Cantin,
Gillian Groth,
Ry Pressman-Cyna,
Charlotte Z. Reed,
Noah J. Rowe,
Mehdi Shafiee,
Benjamin Tam,
Marie C. Vidal,
Tianai Ye,
Ryan D. Martin

Affiliations

Ashley N. Micuda: Department of Physics, Engineering Physics & Astronomy, Queen's University, Kingston, ON, Canada; Department of Medical Biophysics, Western University, London, ON, Canada; Corresponding author. Department of Physics, Engineering Physics & Astronomy, Queen's University, Kingston, ON, Canada.
Mark R. Anderson: Department of Physics, Engineering Physics & Astronomy, Queen's University, Kingston, ON, Canada
Irina Babayan: Department of Physics, Engineering Physics & Astronomy, Queen's University, Kingston, ON, Canada
Erin Bolger: Department of Mathematics and Statistics, Queen's University, Kingston, ON, Canada; Department of Biology, Queen's University, Kingston, ON, Canada
Logan Cantin: School of Computing, Queen's University, Kingston, ON, Canada
Gillian Groth: Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada
Ry Pressman-Cyna: Department of Physics, Engineering Physics & Astronomy, Queen's University, Kingston, ON, Canada
Charlotte Z. Reed: Department of Mathematics and Statistics, Queen's University, Kingston, ON, Canada
Noah J. Rowe: Department of Physics, Engineering Physics & Astronomy, Queen's University, Kingston, ON, Canada
Mehdi Shafiee: Department of Physics, Engineering Physics & Astronomy, Queen's University, Kingston, ON, Canada; Department of Electrical and Computer Engineering, Nazarbayev University, Nur-Sultan, Kazakhstan; Energetic Cosmos Laboratory, Nazarbayev University, Nur-Sultan, Kazakhstan
Benjamin Tam: Department of Physics, Engineering Physics & Astronomy, Queen's University, Kingston, ON, Canada; Department of Physics, University of Oxford, Oxford, United Kingdom
Marie C. Vidal: Department of Physics, Stanford University, Stanford, CA, United States
Tianai Ye: Department of Physics, Engineering Physics & Astronomy, Queen's University, Kingston, ON, Canada
Ryan D. Martin: Department of Physics, Engineering Physics & Astronomy, Queen's University, Kingston, ON, Canada

Journal volume & issue: Vol. 9, no. 1
pp. 234 – 244

Abstract

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This work introduces the Queen's 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.

Published in Infectious Disease Modelling

ISSN: 2468-0427 (Online)
Publisher: KeAi Communications Co., Ltd.
Country of publisher: China
LCC subjects: Medicine: Internal medicine: Infectious and parasitic diseases
Website: https://www.keaipublishing.com/en/journals/infectious-disease-modelling/

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