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Impacts of a delayed and slow-paced vaccination on cases and deaths during the COVID-19 pandemic: a modelling study
In Brazil, vaccination has always cut across party political and ideological lines, which has delayed its start and brought the whole process into disrepute. Such divergences put the immunization of the population in the background and create additional hurdles beyond the pandemic, mistrust and scep...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9131126/ https://www.ncbi.nlm.nih.gov/pubmed/35611617 http://dx.doi.org/10.1098/rsif.2022.0275 |
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author | Barbosa Libotte, Gustavo dos Anjos, Lucas Célia Cerqueira de Almeida, Regina Mara Cardoso Malta, Sandra de Andrade Medronho, Roberto |
author_facet | Barbosa Libotte, Gustavo dos Anjos, Lucas Célia Cerqueira de Almeida, Regina Mara Cardoso Malta, Sandra de Andrade Medronho, Roberto |
author_sort | Barbosa Libotte, Gustavo |
collection | PubMed |
description | In Brazil, vaccination has always cut across party political and ideological lines, which has delayed its start and brought the whole process into disrepute. Such divergences put the immunization of the population in the background and create additional hurdles beyond the pandemic, mistrust and scepticism over vaccines. We conduct a mathematical modelling study to analyse the impacts of late vaccination along with slowly increasing coverage, as well as how harmful it would be if part of the population refused to get vaccinated or missed the second dose. We analyse data from confirmed cases, deaths and vaccination in the state of Rio de Janeiro in the period between 10 March 2020 and 27 October 2021. We estimate that if the start of vaccination had been 30 days earlier, combined with efforts to drive vaccination rates up, about 31 657 deaths could have been avoided. In addition, the slow pace of vaccination and the low demand for the second dose could cause a resurgence of cases as early as 2022. Even when reaching the expected vaccination coverage for the first dose, it is still challenging to increase adherence to the second dose and maintain a high vaccination rate to avoid new outbreaks. |
format | Online Article Text |
id | pubmed-9131126 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-91311262022-05-27 Impacts of a delayed and slow-paced vaccination on cases and deaths during the COVID-19 pandemic: a modelling study Barbosa Libotte, Gustavo dos Anjos, Lucas Célia Cerqueira de Almeida, Regina Mara Cardoso Malta, Sandra de Andrade Medronho, Roberto J R Soc Interface Life Sciences–Mathematics interface In Brazil, vaccination has always cut across party political and ideological lines, which has delayed its start and brought the whole process into disrepute. Such divergences put the immunization of the population in the background and create additional hurdles beyond the pandemic, mistrust and scepticism over vaccines. We conduct a mathematical modelling study to analyse the impacts of late vaccination along with slowly increasing coverage, as well as how harmful it would be if part of the population refused to get vaccinated or missed the second dose. We analyse data from confirmed cases, deaths and vaccination in the state of Rio de Janeiro in the period between 10 March 2020 and 27 October 2021. We estimate that if the start of vaccination had been 30 days earlier, combined with efforts to drive vaccination rates up, about 31 657 deaths could have been avoided. In addition, the slow pace of vaccination and the low demand for the second dose could cause a resurgence of cases as early as 2022. Even when reaching the expected vaccination coverage for the first dose, it is still challenging to increase adherence to the second dose and maintain a high vaccination rate to avoid new outbreaks. The Royal Society 2022-05-25 /pmc/articles/PMC9131126/ /pubmed/35611617 http://dx.doi.org/10.1098/rsif.2022.0275 Text en © 2022 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Life Sciences–Mathematics interface Barbosa Libotte, Gustavo dos Anjos, Lucas Célia Cerqueira de Almeida, Regina Mara Cardoso Malta, Sandra de Andrade Medronho, Roberto Impacts of a delayed and slow-paced vaccination on cases and deaths during the COVID-19 pandemic: a modelling study |
title | Impacts of a delayed and slow-paced vaccination on cases and deaths during the COVID-19 pandemic: a modelling study |
title_full | Impacts of a delayed and slow-paced vaccination on cases and deaths during the COVID-19 pandemic: a modelling study |
title_fullStr | Impacts of a delayed and slow-paced vaccination on cases and deaths during the COVID-19 pandemic: a modelling study |
title_full_unstemmed | Impacts of a delayed and slow-paced vaccination on cases and deaths during the COVID-19 pandemic: a modelling study |
title_short | Impacts of a delayed and slow-paced vaccination on cases and deaths during the COVID-19 pandemic: a modelling study |
title_sort | impacts of a delayed and slow-paced vaccination on cases and deaths during the covid-19 pandemic: a modelling study |
topic | Life Sciences–Mathematics interface |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9131126/ https://www.ncbi.nlm.nih.gov/pubmed/35611617 http://dx.doi.org/10.1098/rsif.2022.0275 |
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