Assessing the efficacy of interventions to control indoor SARS-Cov-2 transmission: An agent-based modeling approach
Nonpharmaceutical interventions for minimizing indoor SARS-CoV-2 transmission continue to be critical tools for protecting susceptible individuals from infection, even as effective vaccines are produced and distributed globally. We developed a spatially-explicit agent-based model for simulating indo...
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2021
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oai:doaj.org-article:bbc1e00bbcfc4be18915593c5594c64a2021-11-18T04:46:18ZAssessing the efficacy of interventions to control indoor SARS-Cov-2 transmission: An agent-based modeling approach1755-436510.1016/j.epidem.2021.100524https://doaj.org/article/bbc1e00bbcfc4be18915593c5594c64a2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1755436521000694https://doaj.org/toc/1755-4365Nonpharmaceutical interventions for minimizing indoor SARS-CoV-2 transmission continue to be critical tools for protecting susceptible individuals from infection, even as effective vaccines are produced and distributed globally. We developed a spatially-explicit agent-based model for simulating indoor respiratory pathogen transmission during discrete events taking place in a single room within a sub-day time frame, and used it to compare effects of four interventions on reducing secondary SARS-CoV-2 attack rates during a superspreading event by simulating a well-known case study. We found that preventing people from moving within the simulated room and efficacious mask usage appear to have the greatest effects on reducing infection risk, but multiple concurrent interventions are required to minimize the proportion of susceptible individuals infected. Social distancing had little effect on reducing transmission if individuals were randomly relocated within the room to simulate activity-related movements during the gathering. Furthermore, our results suggest that there is potential for ventilation airflow to expose susceptible people to aerosolized pathogens even if they are relatively far from infectious individuals. Maximizing the vertical aerosol removal rate is paramount to successful transmission-risk reduction when using ventilation systems as intervention tools.Trevor S. FarthingCristina LanzasElsevierarticleAerosolAgent-based modelCOVID-19DropletIndoor transmissionSARS-CoV-2Infectious and parasitic diseasesRC109-216ENEpidemics, Vol 37, Iss , Pp 100524- (2021) |
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Aerosol Agent-based model COVID-19 Droplet Indoor transmission SARS-CoV-2 Infectious and parasitic diseases RC109-216 |
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Aerosol Agent-based model COVID-19 Droplet Indoor transmission SARS-CoV-2 Infectious and parasitic diseases RC109-216 Trevor S. Farthing Cristina Lanzas Assessing the efficacy of interventions to control indoor SARS-Cov-2 transmission: An agent-based modeling approach |
description |
Nonpharmaceutical interventions for minimizing indoor SARS-CoV-2 transmission continue to be critical tools for protecting susceptible individuals from infection, even as effective vaccines are produced and distributed globally. We developed a spatially-explicit agent-based model for simulating indoor respiratory pathogen transmission during discrete events taking place in a single room within a sub-day time frame, and used it to compare effects of four interventions on reducing secondary SARS-CoV-2 attack rates during a superspreading event by simulating a well-known case study. We found that preventing people from moving within the simulated room and efficacious mask usage appear to have the greatest effects on reducing infection risk, but multiple concurrent interventions are required to minimize the proportion of susceptible individuals infected. Social distancing had little effect on reducing transmission if individuals were randomly relocated within the room to simulate activity-related movements during the gathering. Furthermore, our results suggest that there is potential for ventilation airflow to expose susceptible people to aerosolized pathogens even if they are relatively far from infectious individuals. Maximizing the vertical aerosol removal rate is paramount to successful transmission-risk reduction when using ventilation systems as intervention tools. |
format |
article |
author |
Trevor S. Farthing Cristina Lanzas |
author_facet |
Trevor S. Farthing Cristina Lanzas |
author_sort |
Trevor S. Farthing |
title |
Assessing the efficacy of interventions to control indoor SARS-Cov-2 transmission: An agent-based modeling approach |
title_short |
Assessing the efficacy of interventions to control indoor SARS-Cov-2 transmission: An agent-based modeling approach |
title_full |
Assessing the efficacy of interventions to control indoor SARS-Cov-2 transmission: An agent-based modeling approach |
title_fullStr |
Assessing the efficacy of interventions to control indoor SARS-Cov-2 transmission: An agent-based modeling approach |
title_full_unstemmed |
Assessing the efficacy of interventions to control indoor SARS-Cov-2 transmission: An agent-based modeling approach |
title_sort |
assessing the efficacy of interventions to control indoor sars-cov-2 transmission: an agent-based modeling approach |
publisher |
Elsevier |
publishDate |
2021 |
url |
https://doaj.org/article/bbc1e00bbcfc4be18915593c5594c64a |
work_keys_str_mv |
AT trevorsfarthing assessingtheefficacyofinterventionstocontrolindoorsarscov2transmissionanagentbasedmodelingapproach AT cristinalanzas assessingtheefficacyofinterventionstocontrolindoorsarscov2transmissionanagentbasedmodelingapproach |
_version_ |
1718425063498186752 |