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Excess All-Cause Deaths during Coronavirus Disease Pandemic, Japan, January–May 2020
To provide insight into the mortality burden of coronavirus disease (COVID-19) in Japan, we estimated the excess all-cause deaths for each week during the pandemic, January–May 2020, by prefecture and age group. We applied quasi-Poisson regression models to vital statistics data. Excess deaths were...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7920666/ https://www.ncbi.nlm.nih.gov/pubmed/33622468 http://dx.doi.org/10.3201/eid2703.203925 |
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author | Kawashima, Takayuki Nomura, Shuhei Tanoue, Yuta Yoneoka, Daisuke Eguchi, Akifumi Ng, Chris Fook Sheng Matsuura, Kentaro Shi, Shoi Makiyama, Koji Uryu, Shinya Kawamura, Yumi Takayanagi, Shinichi Gilmour, Stuart Miyata, Hiroaki Sunagawa, Tomimasa Takahashi, Takuri Tsuchihashi, Yuuki Kobayashi, Yusuke Arima, Yuzo Kanou, Kazuhiko Suzuki, Motoi Hashizume, Masahiro |
author_facet | Kawashima, Takayuki Nomura, Shuhei Tanoue, Yuta Yoneoka, Daisuke Eguchi, Akifumi Ng, Chris Fook Sheng Matsuura, Kentaro Shi, Shoi Makiyama, Koji Uryu, Shinya Kawamura, Yumi Takayanagi, Shinichi Gilmour, Stuart Miyata, Hiroaki Sunagawa, Tomimasa Takahashi, Takuri Tsuchihashi, Yuuki Kobayashi, Yusuke Arima, Yuzo Kanou, Kazuhiko Suzuki, Motoi Hashizume, Masahiro |
author_sort | Kawashima, Takayuki |
collection | PubMed |
description | To provide insight into the mortality burden of coronavirus disease (COVID-19) in Japan, we estimated the excess all-cause deaths for each week during the pandemic, January–May 2020, by prefecture and age group. We applied quasi-Poisson regression models to vital statistics data. Excess deaths were expressed as the range of differences between the observed and expected number of all-cause deaths and the 95% upper bound of the 1-sided prediction interval. A total of 208–4,322 all-cause excess deaths at the national level indicated a 0.03%–0.72% excess in the observed number of deaths. Prefecture and age structure consistency between the reported COVID-19 deaths and our estimates was weak, suggesting the need to use cause-specific analyses to distinguish between direct and indirect consequences of COVID-19. |
format | Online Article Text |
id | pubmed-7920666 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-79206662021-03-04 Excess All-Cause Deaths during Coronavirus Disease Pandemic, Japan, January–May 2020 Kawashima, Takayuki Nomura, Shuhei Tanoue, Yuta Yoneoka, Daisuke Eguchi, Akifumi Ng, Chris Fook Sheng Matsuura, Kentaro Shi, Shoi Makiyama, Koji Uryu, Shinya Kawamura, Yumi Takayanagi, Shinichi Gilmour, Stuart Miyata, Hiroaki Sunagawa, Tomimasa Takahashi, Takuri Tsuchihashi, Yuuki Kobayashi, Yusuke Arima, Yuzo Kanou, Kazuhiko Suzuki, Motoi Hashizume, Masahiro Emerg Infect Dis Research To provide insight into the mortality burden of coronavirus disease (COVID-19) in Japan, we estimated the excess all-cause deaths for each week during the pandemic, January–May 2020, by prefecture and age group. We applied quasi-Poisson regression models to vital statistics data. Excess deaths were expressed as the range of differences between the observed and expected number of all-cause deaths and the 95% upper bound of the 1-sided prediction interval. A total of 208–4,322 all-cause excess deaths at the national level indicated a 0.03%–0.72% excess in the observed number of deaths. Prefecture and age structure consistency between the reported COVID-19 deaths and our estimates was weak, suggesting the need to use cause-specific analyses to distinguish between direct and indirect consequences of COVID-19. Centers for Disease Control and Prevention 2021-03 /pmc/articles/PMC7920666/ /pubmed/33622468 http://dx.doi.org/10.3201/eid2703.203925 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
spellingShingle | Research Kawashima, Takayuki Nomura, Shuhei Tanoue, Yuta Yoneoka, Daisuke Eguchi, Akifumi Ng, Chris Fook Sheng Matsuura, Kentaro Shi, Shoi Makiyama, Koji Uryu, Shinya Kawamura, Yumi Takayanagi, Shinichi Gilmour, Stuart Miyata, Hiroaki Sunagawa, Tomimasa Takahashi, Takuri Tsuchihashi, Yuuki Kobayashi, Yusuke Arima, Yuzo Kanou, Kazuhiko Suzuki, Motoi Hashizume, Masahiro Excess All-Cause Deaths during Coronavirus Disease Pandemic, Japan, January–May 2020 |
title | Excess All-Cause Deaths during Coronavirus Disease Pandemic, Japan, January–May 2020 |
title_full | Excess All-Cause Deaths during Coronavirus Disease Pandemic, Japan, January–May 2020 |
title_fullStr | Excess All-Cause Deaths during Coronavirus Disease Pandemic, Japan, January–May 2020 |
title_full_unstemmed | Excess All-Cause Deaths during Coronavirus Disease Pandemic, Japan, January–May 2020 |
title_short | Excess All-Cause Deaths during Coronavirus Disease Pandemic, Japan, January–May 2020 |
title_sort | excess all-cause deaths during coronavirus disease pandemic, japan, january–may 2020 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7920666/ https://www.ncbi.nlm.nih.gov/pubmed/33622468 http://dx.doi.org/10.3201/eid2703.203925 |
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