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Evaluation of the epidemiological behavior of mortality due to COVID-19 in Brazil: A time series study
The World Health Organization declared, at the end of 2019, a pandemic caused by SARS-CoV-2, a virus that causes Coronavirus Disease—COVID-19. Currently, Brazil has become the epicenter of the disease, registering approximately 345 thousand deaths. Thus, the study has scientific relevance in health...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8360598/ https://www.ncbi.nlm.nih.gov/pubmed/34383857 http://dx.doi.org/10.1371/journal.pone.0256169 |
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author | Costa, Ketyllem Tayanne da Silva de Morais, Thiffany Nayara Bento Justino, Dayane Caroliny Pereira de Andrade, Fábia Barbosa |
author_facet | Costa, Ketyllem Tayanne da Silva de Morais, Thiffany Nayara Bento Justino, Dayane Caroliny Pereira de Andrade, Fábia Barbosa |
author_sort | Costa, Ketyllem Tayanne da Silva |
collection | PubMed |
description | The World Health Organization declared, at the end of 2019, a pandemic caused by SARS-CoV-2, a virus that causes Coronavirus Disease—COVID-19. Currently, Brazil has become the epicenter of the disease, registering approximately 345 thousand deaths. Thus, the study has scientific relevance in health surveillance as it identifies, quantifies and monitors the main behavioral patterns of the mortality rate due to COVID-19, in Brazil and in their respective regions. In this context, the study aims to assess the epidemiological behavior of mortality due to COVID-19 in Brazil: a time series study, referring to the year 2020. This is an ecological time series study, constructed using secondary data. The research was carried out in Brazil, having COVID-19 deaths as the dependent variable that occurred between the 12th and 53rd Epidemiological Week of 2020. The independent variable will be the epidemiological weeks. The data on deaths by COVID-19 were extracted in February 2021, on the Civil Registry Transparency Portal. The cleaning of the database and the information were treated in the Microsoft Excel® Software and, for statistical analysis, the JoinPoint software, version 4.7.0.0 was used. It was observed that Brazil presents an upward curve between the 12th and 19th SE, when it reaches saturation at the peak of mortality, which remains until the 35th SE and, subsequently, a downward curve was identified until the 47th SE, period in the which curve turns back up. |
format | Online Article Text |
id | pubmed-8360598 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-83605982021-08-13 Evaluation of the epidemiological behavior of mortality due to COVID-19 in Brazil: A time series study Costa, Ketyllem Tayanne da Silva de Morais, Thiffany Nayara Bento Justino, Dayane Caroliny Pereira de Andrade, Fábia Barbosa PLoS One Research Article The World Health Organization declared, at the end of 2019, a pandemic caused by SARS-CoV-2, a virus that causes Coronavirus Disease—COVID-19. Currently, Brazil has become the epicenter of the disease, registering approximately 345 thousand deaths. Thus, the study has scientific relevance in health surveillance as it identifies, quantifies and monitors the main behavioral patterns of the mortality rate due to COVID-19, in Brazil and in their respective regions. In this context, the study aims to assess the epidemiological behavior of mortality due to COVID-19 in Brazil: a time series study, referring to the year 2020. This is an ecological time series study, constructed using secondary data. The research was carried out in Brazil, having COVID-19 deaths as the dependent variable that occurred between the 12th and 53rd Epidemiological Week of 2020. The independent variable will be the epidemiological weeks. The data on deaths by COVID-19 were extracted in February 2021, on the Civil Registry Transparency Portal. The cleaning of the database and the information were treated in the Microsoft Excel® Software and, for statistical analysis, the JoinPoint software, version 4.7.0.0 was used. It was observed that Brazil presents an upward curve between the 12th and 19th SE, when it reaches saturation at the peak of mortality, which remains until the 35th SE and, subsequently, a downward curve was identified until the 47th SE, period in the which curve turns back up. Public Library of Science 2021-08-12 /pmc/articles/PMC8360598/ /pubmed/34383857 http://dx.doi.org/10.1371/journal.pone.0256169 Text en © 2021 Costa 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 Costa, Ketyllem Tayanne da Silva de Morais, Thiffany Nayara Bento Justino, Dayane Caroliny Pereira de Andrade, Fábia Barbosa Evaluation of the epidemiological behavior of mortality due to COVID-19 in Brazil: A time series study |
title | Evaluation of the epidemiological behavior of mortality due to COVID-19 in Brazil: A time series study |
title_full | Evaluation of the epidemiological behavior of mortality due to COVID-19 in Brazil: A time series study |
title_fullStr | Evaluation of the epidemiological behavior of mortality due to COVID-19 in Brazil: A time series study |
title_full_unstemmed | Evaluation of the epidemiological behavior of mortality due to COVID-19 in Brazil: A time series study |
title_short | Evaluation of the epidemiological behavior of mortality due to COVID-19 in Brazil: A time series study |
title_sort | evaluation of the epidemiological behavior of mortality due to covid-19 in brazil: a time series study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8360598/ https://www.ncbi.nlm.nih.gov/pubmed/34383857 http://dx.doi.org/10.1371/journal.pone.0256169 |
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