The impact of vaccination to control COVID-19 burden in the United States: A simulation modeling approach.

<h4>Introduction</h4>Vaccination programs aim to control the COVID-19 pandemic. However, the relative impacts of vaccine coverage, effectiveness, and capacity in the context of nonpharmaceutical interventions such as mask use and physical distancing on the spread of SARS-CoV-2 are unclea...

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Main Authors: Oguzhan Alagoz, Ajay K Sethi, Brian W Patterson, Matthew Churpek, Ghalib Alhanaee, Elizabeth Scaria, Nasia Safdar
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0254456
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spelling doaj-af9194e01d444ec3bfc614ce5d7675bc2021-08-03T04:33:54ZengPublic Library of Science (PLoS)PLoS ONE1932-62032021-01-01167e025445610.1371/journal.pone.0254456The impact of vaccination to control COVID-19 burden in the United States: A simulation modeling approach.Oguzhan AlagozAjay K SethiBrian W PattersonMatthew ChurpekGhalib AlhanaeeElizabeth ScariaNasia Safdar<h4>Introduction</h4>Vaccination programs aim to control the COVID-19 pandemic. However, the relative impacts of vaccine coverage, effectiveness, and capacity in the context of nonpharmaceutical interventions such as mask use and physical distancing on the spread of SARS-CoV-2 are unclear. Our objective was to examine the impact of vaccination on the control of SARS-CoV-2 using our previously developed agent-based simulation model.<h4>Methods</h4>We applied our agent-based model to replicate COVID-19-related events in 1) Dane County, Wisconsin; 2) Milwaukee metropolitan area, Wisconsin; 3) New York City (NYC). We evaluated the impact of vaccination considering the proportion of the population vaccinated, probability that a vaccinated individual gains immunity, vaccination capacity, and adherence to nonpharmaceutical interventions. We estimated the timing of pandemic control, defined as the date after which only a small number of new cases occur.<h4>Results</h4>The timing of pandemic control depends highly on vaccination coverage, effectiveness, and adherence to nonpharmaceutical interventions. In Dane County and Milwaukee, if 50% of the population is vaccinated with a daily vaccination capacity of 0.25% of the population, vaccine effectiveness of 90%, and the adherence to nonpharmaceutical interventions is 60%, controlled spread could be achieved by June 2021 versus October 2021 in Dane County and November 2021 in Milwaukee without vaccine.<h4>Discussion</h4>In controlling the spread of SARS-CoV-2, the impact of vaccination varies widely depending not only on effectiveness and coverage, but also concurrent adherence to nonpharmaceutical interventions.https://doi.org/10.1371/journal.pone.0254456
collection DOAJ
language English
format Article
sources DOAJ
author Oguzhan Alagoz
Ajay K Sethi
Brian W Patterson
Matthew Churpek
Ghalib Alhanaee
Elizabeth Scaria
Nasia Safdar
spellingShingle Oguzhan Alagoz
Ajay K Sethi
Brian W Patterson
Matthew Churpek
Ghalib Alhanaee
Elizabeth Scaria
Nasia Safdar
The impact of vaccination to control COVID-19 burden in the United States: A simulation modeling approach.
PLoS ONE
author_facet Oguzhan Alagoz
Ajay K Sethi
Brian W Patterson
Matthew Churpek
Ghalib Alhanaee
Elizabeth Scaria
Nasia Safdar
author_sort Oguzhan Alagoz
title The impact of vaccination to control COVID-19 burden in the United States: A simulation modeling approach.
title_short The impact of vaccination to control COVID-19 burden in the United States: A simulation modeling approach.
title_full The impact of vaccination to control COVID-19 burden in the United States: A simulation modeling approach.
title_fullStr The impact of vaccination to control COVID-19 burden in the United States: A simulation modeling approach.
title_full_unstemmed The impact of vaccination to control COVID-19 burden in the United States: A simulation modeling approach.
title_sort impact of vaccination to control covid-19 burden in the united states: a simulation modeling approach.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2021-01-01
description <h4>Introduction</h4>Vaccination programs aim to control the COVID-19 pandemic. However, the relative impacts of vaccine coverage, effectiveness, and capacity in the context of nonpharmaceutical interventions such as mask use and physical distancing on the spread of SARS-CoV-2 are unclear. Our objective was to examine the impact of vaccination on the control of SARS-CoV-2 using our previously developed agent-based simulation model.<h4>Methods</h4>We applied our agent-based model to replicate COVID-19-related events in 1) Dane County, Wisconsin; 2) Milwaukee metropolitan area, Wisconsin; 3) New York City (NYC). We evaluated the impact of vaccination considering the proportion of the population vaccinated, probability that a vaccinated individual gains immunity, vaccination capacity, and adherence to nonpharmaceutical interventions. We estimated the timing of pandemic control, defined as the date after which only a small number of new cases occur.<h4>Results</h4>The timing of pandemic control depends highly on vaccination coverage, effectiveness, and adherence to nonpharmaceutical interventions. In Dane County and Milwaukee, if 50% of the population is vaccinated with a daily vaccination capacity of 0.25% of the population, vaccine effectiveness of 90%, and the adherence to nonpharmaceutical interventions is 60%, controlled spread could be achieved by June 2021 versus October 2021 in Dane County and November 2021 in Milwaukee without vaccine.<h4>Discussion</h4>In controlling the spread of SARS-CoV-2, the impact of vaccination varies widely depending not only on effectiveness and coverage, but also concurrent adherence to nonpharmaceutical interventions.
url https://doi.org/10.1371/journal.pone.0254456
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