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Epidemiological behavior of the COVID-19 contamination curve in Brazil: Time-series analysis
Brazil is experiencing the greatest episode of sanitary collapse ever known in the country’s history. Therefore, the relevance of this study is highlighted for the scientific advance of the epidemiological behavior of the virus in Brazil, enabling the development of analyses and discussions on the f...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9498950/ https://www.ncbi.nlm.nih.gov/pubmed/36136969 http://dx.doi.org/10.1371/journal.pone.0268169 |
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author | de Morais, Thiffany Nayara Bento Costa, Ketyllem Tayanne da Silva Capistrano, Gustavo Nepomuceno de Andrade, Fábia Barbosa |
author_facet | de Morais, Thiffany Nayara Bento Costa, Ketyllem Tayanne da Silva Capistrano, Gustavo Nepomuceno de Andrade, Fábia Barbosa |
author_sort | de Morais, Thiffany Nayara Bento |
collection | PubMed |
description | Brazil is experiencing the greatest episode of sanitary collapse ever known in the country’s history. Therefore, the relevance of this study is highlighted for the scientific advance of the epidemiological behavior of the virus in Brazil, enabling the development of analyses and discussions on the factors that influenced the high rates of contamination by SARS-CoV-2 in the country. Given the above, this study aims to analyze the epidemiological behavior of the COVID-19 contamination curve by epidemiological weeks (EW), in the years 2020–2021, in Brazil. This is an ecological study of time series, prepared using information collected through secondary means. The country of origin of the study is Brazil, and its main theme is the number of people infected during the COVID-19 pandemic, this being the dependent variable of the study. The data has been analyzed from February 23, 2020, when the first case was confirmed in Brazil, to January 1, 2022. In 2021, the country’s graph shows an exponential growth, reaching a peak of approximately 250 new cases per 100,000 inhabitants in the 12th EW. This data represents the highest rate of the pandemic in Brazil, and did not vary significantly for the next twelve weeks. Thus, it was identified that Brazil was severely impacted by the new coronavirus, considering the high rates of confirmed cases of the virus in the country, the low adherence of the population to preventive measures, the late start of mass vaccination in the Brazilian population, and the lack of structure in the health system, which was not appropriately prepared for the high demand generated by COVID-19. |
format | Online Article Text |
id | pubmed-9498950 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-94989502022-09-23 Epidemiological behavior of the COVID-19 contamination curve in Brazil: Time-series analysis de Morais, Thiffany Nayara Bento Costa, Ketyllem Tayanne da Silva Capistrano, Gustavo Nepomuceno de Andrade, Fábia Barbosa PLoS One Research Article Brazil is experiencing the greatest episode of sanitary collapse ever known in the country’s history. Therefore, the relevance of this study is highlighted for the scientific advance of the epidemiological behavior of the virus in Brazil, enabling the development of analyses and discussions on the factors that influenced the high rates of contamination by SARS-CoV-2 in the country. Given the above, this study aims to analyze the epidemiological behavior of the COVID-19 contamination curve by epidemiological weeks (EW), in the years 2020–2021, in Brazil. This is an ecological study of time series, prepared using information collected through secondary means. The country of origin of the study is Brazil, and its main theme is the number of people infected during the COVID-19 pandemic, this being the dependent variable of the study. The data has been analyzed from February 23, 2020, when the first case was confirmed in Brazil, to January 1, 2022. In 2021, the country’s graph shows an exponential growth, reaching a peak of approximately 250 new cases per 100,000 inhabitants in the 12th EW. This data represents the highest rate of the pandemic in Brazil, and did not vary significantly for the next twelve weeks. Thus, it was identified that Brazil was severely impacted by the new coronavirus, considering the high rates of confirmed cases of the virus in the country, the low adherence of the population to preventive measures, the late start of mass vaccination in the Brazilian population, and the lack of structure in the health system, which was not appropriately prepared for the high demand generated by COVID-19. Public Library of Science 2022-09-22 /pmc/articles/PMC9498950/ /pubmed/36136969 http://dx.doi.org/10.1371/journal.pone.0268169 Text en © 2022 de Morais et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article de Morais, Thiffany Nayara Bento Costa, Ketyllem Tayanne da Silva Capistrano, Gustavo Nepomuceno de Andrade, Fábia Barbosa Epidemiological behavior of the COVID-19 contamination curve in Brazil: Time-series analysis |
title | Epidemiological behavior of the COVID-19 contamination curve in Brazil: Time-series analysis |
title_full | Epidemiological behavior of the COVID-19 contamination curve in Brazil: Time-series analysis |
title_fullStr | Epidemiological behavior of the COVID-19 contamination curve in Brazil: Time-series analysis |
title_full_unstemmed | Epidemiological behavior of the COVID-19 contamination curve in Brazil: Time-series analysis |
title_short | Epidemiological behavior of the COVID-19 contamination curve in Brazil: Time-series analysis |
title_sort | epidemiological behavior of the covid-19 contamination curve in brazil: time-series analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9498950/ https://www.ncbi.nlm.nih.gov/pubmed/36136969 http://dx.doi.org/10.1371/journal.pone.0268169 |
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