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Agent-based modelling of reactive vaccination of workplaces and schools against COVID-19
With vaccination against COVID-19 stalled in some countries, increasing vaccine accessibility and distribution could help keep transmission under control. Here, we study the impact of reactive vaccination targeting schools and workplaces where cases are detected, with an agent-based model accounting...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8931017/ https://www.ncbi.nlm.nih.gov/pubmed/35301289 http://dx.doi.org/10.1038/s41467-022-29015-y |
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author | Faucher, Benjamin Assab, Rania Roux, Jonathan Levy-Bruhl, Daniel Tran Kiem, Cécile Cauchemez, Simon Zanetti, Laura Colizza, Vittoria Boëlle, Pierre-Yves Poletto, Chiara |
author_facet | Faucher, Benjamin Assab, Rania Roux, Jonathan Levy-Bruhl, Daniel Tran Kiem, Cécile Cauchemez, Simon Zanetti, Laura Colizza, Vittoria Boëlle, Pierre-Yves Poletto, Chiara |
author_sort | Faucher, Benjamin |
collection | PubMed |
description | With vaccination against COVID-19 stalled in some countries, increasing vaccine accessibility and distribution could help keep transmission under control. Here, we study the impact of reactive vaccination targeting schools and workplaces where cases are detected, with an agent-based model accounting for COVID-19 natural history, vaccine characteristics, demographics, behavioural changes and social distancing. In most scenarios, reactive vaccination leads to a higher reduction in cases compared with non-reactive strategies using the same number of doses. The reactive strategy could however be less effective than a moderate/high pace mass vaccination program if initial vaccination coverage is high or disease incidence is low, because few people would be vaccinated around each case. In case of flare-ups, reactive vaccination could better mitigate spread if it is implemented quickly, is supported by enhanced test-trace-isolate and triggers an increased vaccine uptake. These results provide key information to plan an adaptive vaccination rollout. |
format | Online Article Text |
id | pubmed-8931017 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89310172022-04-01 Agent-based modelling of reactive vaccination of workplaces and schools against COVID-19 Faucher, Benjamin Assab, Rania Roux, Jonathan Levy-Bruhl, Daniel Tran Kiem, Cécile Cauchemez, Simon Zanetti, Laura Colizza, Vittoria Boëlle, Pierre-Yves Poletto, Chiara Nat Commun Article With vaccination against COVID-19 stalled in some countries, increasing vaccine accessibility and distribution could help keep transmission under control. Here, we study the impact of reactive vaccination targeting schools and workplaces where cases are detected, with an agent-based model accounting for COVID-19 natural history, vaccine characteristics, demographics, behavioural changes and social distancing. In most scenarios, reactive vaccination leads to a higher reduction in cases compared with non-reactive strategies using the same number of doses. The reactive strategy could however be less effective than a moderate/high pace mass vaccination program if initial vaccination coverage is high or disease incidence is low, because few people would be vaccinated around each case. In case of flare-ups, reactive vaccination could better mitigate spread if it is implemented quickly, is supported by enhanced test-trace-isolate and triggers an increased vaccine uptake. These results provide key information to plan an adaptive vaccination rollout. Nature Publishing Group UK 2022-03-17 /pmc/articles/PMC8931017/ /pubmed/35301289 http://dx.doi.org/10.1038/s41467-022-29015-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Faucher, Benjamin Assab, Rania Roux, Jonathan Levy-Bruhl, Daniel Tran Kiem, Cécile Cauchemez, Simon Zanetti, Laura Colizza, Vittoria Boëlle, Pierre-Yves Poletto, Chiara Agent-based modelling of reactive vaccination of workplaces and schools against COVID-19 |
title | Agent-based modelling of reactive vaccination of workplaces and schools against COVID-19 |
title_full | Agent-based modelling of reactive vaccination of workplaces and schools against COVID-19 |
title_fullStr | Agent-based modelling of reactive vaccination of workplaces and schools against COVID-19 |
title_full_unstemmed | Agent-based modelling of reactive vaccination of workplaces and schools against COVID-19 |
title_short | Agent-based modelling of reactive vaccination of workplaces and schools against COVID-19 |
title_sort | agent-based modelling of reactive vaccination of workplaces and schools against covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8931017/ https://www.ncbi.nlm.nih.gov/pubmed/35301289 http://dx.doi.org/10.1038/s41467-022-29015-y |
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