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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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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