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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...

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Autores principales: Gimenez, G.A.A., Zilli, P.K., Silva, L.F.F., Pasqualucci, C.A., Campo, A.B., Suemoto, C.K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Associação Brasileira de Divulgação Científica 2021
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.
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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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