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Exploring a targeted approach for public health capacity restrictions during COVID-19 using a new computational model.
Micuda, Ashley N; Anderson, Mark R; Babayan, Irina; Bolger, Erin; Cantin, Logan; Groth, Gillian; Pressman-Cyna, Ry; Reed, Charlotte Z; Rowe, Noah J; Shafiee, Mehdi; Tam, Benjamin; Vidal, Marie C; Ye, Tianai; Martin, Ryan D.
Afiliação
  • Micuda AN; Department of Physics, Engineering Physics & Astronomy, Queen's University, Kingston, ON, Canada.
  • Anderson MR; Department of Medical Biophysics, Western University, London, ON, Canada.
  • Babayan I; Department of Physics, Engineering Physics & Astronomy, Queen's University, Kingston, ON, Canada.
  • Bolger E; Department of Physics, Engineering Physics & Astronomy, Queen's University, Kingston, ON, Canada.
  • Cantin L; Department of Mathematics and Statistics, Queen's University, Kingston, ON, Canada.
  • Groth G; Department of Biology, Queen's University, Kingston, ON, Canada.
  • Pressman-Cyna R; School of Computing, Queen's University, Kingston, ON, Canada.
  • Reed CZ; Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada.
  • Rowe NJ; Department of Physics, Engineering Physics & Astronomy, Queen's University, Kingston, ON, Canada.
  • Shafiee M; Department of Mathematics and Statistics, Queen's University, Kingston, ON, Canada.
  • Tam B; Department of Physics, Engineering Physics & Astronomy, Queen's University, Kingston, ON, Canada.
  • Vidal MC; Department of Physics, Engineering Physics & Astronomy, Queen's University, Kingston, ON, Canada.
  • Ye T; Department of Electrical and Computer Engineering, Nazarbayev University, Nur-Sultan, Kazakhstan.
  • Martin RD; Energetic Cosmos Laboratory, Nazarbayev University, Nur-Sultan, Kazakhstan.
Infect Dis Model ; 9(1): 234-244, 2024 Mar.
Article em En | MEDLINE | ID: mdl-38303993
ABSTRACT
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Infect Dis Model Ano de publicação: 2024 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Infect Dis Model Ano de publicação: 2024 Tipo de documento: Article