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Understanding the dynamics of SARS-CoV-2 variants of concern in Ontario, Canada: a modeling study

A year after the initial wild-type Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) strains began their devastation of the world, they were supplanted by new variants of concern (VOC). In Ontario, Canada, the wild type was overtaken first by the Alpha/B1.1.17 variant, and then by the Del...

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Autores principales: Layton, Anita T., Sadria, Mehrshad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826311/
https://www.ncbi.nlm.nih.gov/pubmed/35136161
http://dx.doi.org/10.1038/s41598-022-06159-x
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author Layton, Anita T.
Sadria, Mehrshad
author_facet Layton, Anita T.
Sadria, Mehrshad
author_sort Layton, Anita T.
collection PubMed
description A year after the initial wild-type Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) strains began their devastation of the world, they were supplanted by new variants of concern (VOC). In Ontario, Canada, the wild type was overtaken first by the Alpha/B1.1.17 variant, and then by the Delta/B.1.617 variant. The principal objective of the present study is to develop and apply a much expanded Susceptible-Infection-Recovered-type model to better understand the spread of multiple VOC, and assess the effectiveness of vaccination and non-pharmaceutical interventions (NPI). The model represents competition among VOC, and reveals their mutual inhibitory effects. By separately tracking asymptomatic and symptomatic infections, model simulations identify a significant role of vaccine breakthrough in the spread of Delta. Furthermore, the severity of a Delta outbreak depends not only on the NPI and vaccination rate but also on the vaccine types. Alarmingly, despite Ontario’s existing NPI and relatively successful vaccine rollout, a future, more dangerous VOC could potentially infect a significant fraction of the province’s population and overwhelm the health care system. To stop that VOC, the province may need the simultaneous and rapid deployment of a third booster vaccine and stringent NPI.
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spelling pubmed-88263112022-02-10 Understanding the dynamics of SARS-CoV-2 variants of concern in Ontario, Canada: a modeling study Layton, Anita T. Sadria, Mehrshad Sci Rep Article A year after the initial wild-type Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) strains began their devastation of the world, they were supplanted by new variants of concern (VOC). In Ontario, Canada, the wild type was overtaken first by the Alpha/B1.1.17 variant, and then by the Delta/B.1.617 variant. The principal objective of the present study is to develop and apply a much expanded Susceptible-Infection-Recovered-type model to better understand the spread of multiple VOC, and assess the effectiveness of vaccination and non-pharmaceutical interventions (NPI). The model represents competition among VOC, and reveals their mutual inhibitory effects. By separately tracking asymptomatic and symptomatic infections, model simulations identify a significant role of vaccine breakthrough in the spread of Delta. Furthermore, the severity of a Delta outbreak depends not only on the NPI and vaccination rate but also on the vaccine types. Alarmingly, despite Ontario’s existing NPI and relatively successful vaccine rollout, a future, more dangerous VOC could potentially infect a significant fraction of the province’s population and overwhelm the health care system. To stop that VOC, the province may need the simultaneous and rapid deployment of a third booster vaccine and stringent NPI. Nature Publishing Group UK 2022-02-08 /pmc/articles/PMC8826311/ /pubmed/35136161 http://dx.doi.org/10.1038/s41598-022-06159-x 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Layton, Anita T.
Sadria, Mehrshad
Understanding the dynamics of SARS-CoV-2 variants of concern in Ontario, Canada: a modeling study
title Understanding the dynamics of SARS-CoV-2 variants of concern in Ontario, Canada: a modeling study
title_full Understanding the dynamics of SARS-CoV-2 variants of concern in Ontario, Canada: a modeling study
title_fullStr Understanding the dynamics of SARS-CoV-2 variants of concern in Ontario, Canada: a modeling study
title_full_unstemmed Understanding the dynamics of SARS-CoV-2 variants of concern in Ontario, Canada: a modeling study
title_short Understanding the dynamics of SARS-CoV-2 variants of concern in Ontario, Canada: a modeling study
title_sort understanding the dynamics of sars-cov-2 variants of concern in ontario, canada: a modeling study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8826311/
https://www.ncbi.nlm.nih.gov/pubmed/35136161
http://dx.doi.org/10.1038/s41598-022-06159-x
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