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Death trends based on autopsy data compared to the beginning of the coronavirus pandemic in Brazil
The novel Coronavirus disease (COVID-19) is responsible for thousands of deaths worldwide, especially in Brazil, currently one of the leading countries in number of infections and deaths. The beginning of the COVID-19 epidemic in Brazil is uncertain due to the low number of tests done in the country...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Associação Brasileira de Divulgação Científica
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7894388/ https://www.ncbi.nlm.nih.gov/pubmed/33624732 http://dx.doi.org/10.1590/1414-431X202010766 |
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author | Gimenez, G.A.A. Zilli, P.K. Silva, L.F.F. Pasqualucci, C.A. Campo, A.B. Suemoto, C.K. |
author_facet | Gimenez, G.A.A. Zilli, P.K. Silva, L.F.F. Pasqualucci, C.A. Campo, A.B. Suemoto, C.K. |
author_sort | Gimenez, G.A.A. |
collection | PubMed |
description | The novel Coronavirus disease (COVID-19) is responsible for thousands of deaths worldwide, especially in Brazil, currently one of the leading countries in number of infections and deaths. The beginning of the COVID-19 epidemic in Brazil is uncertain due to the low number of tests done in the country. The excess number of deaths can suggest the beginning of the pandemic in this context. In this article, we used an autoregressive integrated moving average (ARIMA) model to investigate possible excesses in the number of deaths processed by the São Paulo Autopsy Service according to different causes of deaths: all-cause, cardiovascular, and pulmonary causes. We calculated the expected number of deaths using data from 2019 to 2020 (n=17,011), and investigated different seasonal patterns using harmonic dynamic regression with Fourier terms with residuals modeled by an ARIMA method. We did not find any abnormalities in the predicted number of deaths and the real values in the first months of 2020. We found an increase in the number of deaths only by March 20, 2020, right after the first COVID-19 confirmed case in the city of São Paulo, which occurred on March 16, 2020. |
format | Online Article Text |
id | pubmed-7894388 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Associação Brasileira de Divulgação Científica |
record_format | MEDLINE/PubMed |
spelling | pubmed-78943882021-02-26 Death trends based on autopsy data compared to the beginning of the coronavirus pandemic in Brazil Gimenez, G.A.A. Zilli, P.K. Silva, L.F.F. Pasqualucci, C.A. Campo, A.B. Suemoto, C.K. Braz J Med Biol Res Research Article The novel Coronavirus disease (COVID-19) is responsible for thousands of deaths worldwide, especially in Brazil, currently one of the leading countries in number of infections and deaths. The beginning of the COVID-19 epidemic in Brazil is uncertain due to the low number of tests done in the country. The excess number of deaths can suggest the beginning of the pandemic in this context. In this article, we used an autoregressive integrated moving average (ARIMA) model to investigate possible excesses in the number of deaths processed by the São Paulo Autopsy Service according to different causes of deaths: all-cause, cardiovascular, and pulmonary causes. We calculated the expected number of deaths using data from 2019 to 2020 (n=17,011), and investigated different seasonal patterns using harmonic dynamic regression with Fourier terms with residuals modeled by an ARIMA method. We did not find any abnormalities in the predicted number of deaths and the real values in the first months of 2020. We found an increase in the number of deaths only by March 20, 2020, right after the first COVID-19 confirmed case in the city of São Paulo, which occurred on March 16, 2020. Associação Brasileira de Divulgação Científica 2021-02-12 /pmc/articles/PMC7894388/ /pubmed/33624732 http://dx.doi.org/10.1590/1414-431X202010766 Text en https://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Gimenez, G.A.A. Zilli, P.K. Silva, L.F.F. Pasqualucci, C.A. Campo, A.B. Suemoto, C.K. Death trends based on autopsy data compared to the beginning of the coronavirus pandemic in Brazil |
title | Death trends based on autopsy data compared to the beginning of the coronavirus pandemic in Brazil |
title_full | Death trends based on autopsy data compared to the beginning of the coronavirus pandemic in Brazil |
title_fullStr | Death trends based on autopsy data compared to the beginning of the coronavirus pandemic in Brazil |
title_full_unstemmed | Death trends based on autopsy data compared to the beginning of the coronavirus pandemic in Brazil |
title_short | Death trends based on autopsy data compared to the beginning of the coronavirus pandemic in Brazil |
title_sort | death trends based on autopsy data compared to the beginning of the coronavirus pandemic in brazil |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7894388/ https://www.ncbi.nlm.nih.gov/pubmed/33624732 http://dx.doi.org/10.1590/1414-431X202010766 |
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