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Meta-Analysis
. 2022 Feb 18;51(1):75-84.
doi: 10.1093/ije/dyab216.

Reduced mortality during the COVID-19 outbreak in Japan, 2020: a two-stage interrupted time-series design

Affiliations
Meta-Analysis

Reduced mortality during the COVID-19 outbreak in Japan, 2020: a two-stage interrupted time-series design

Daisuke Onozuka et al. Int J Epidemiol. .

V体育安卓版 - Abstract

Background: Coronavirus disease 2019 (COVID-19) continues to be a major global health burden. This study aims to estimate the all-cause excess mortality occurring in the COVID-19 outbreak in Japan, 2020, by sex and age group VSports手机版. .

Methods: Daily time series of mortality for the period January 2015-December 2020 in all 47 prefectures of Japan were obtained from the Ministry of Health, Labour and Welfare, Japan. A two-stage interrupted time-series design was used to calculate excess mortality. In the first stage, we estimated excess mortality by prefecture using quasi-Poisson regression models in combination with distributed lag non-linear models, adjusting for seasonal and long-term variations, weather conditions and influenza activity. In the second stage, we used a random-effects multivariate meta-analysis to synthesize prefecture-specific estimates at the nationwide level. V体育安卓版.

Results: In 2020, we estimated an all-cause excess mortality of -20 982 deaths [95% empirical confidence intervals (eCI): -38 367 to -5472] in Japan, which corresponded to a percentage excess of -1 V体育ios版. 7% (95% eCI: -3. 1 to -0. 5) relative to the expected value. Reduced deaths were observed for both sexes and in all age groups except those aged <60 and 70-79 years. .

Conclusions: All-cause mortality during the COVID-19 outbreak in Japan in 2020 was decreased compared with a historical baseline VSports最新版本. Further evaluation of cause-specific excess mortality is warranted. .

Keywords: All-cause death; COVID-19; Japan; excess mortality; two-stage interrupted time-series design. V体育平台登录.

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Figures

Figure 1
Figure 1
Trends in estimated excess risk (relative risk) during the period 14 January–31 December 2020 in Japan by sex and age groups compared with the total (band corresponds to 95% empirical confidence intervals)
Figure 2
Figure 2
The spatial distribution of percentage excess in mortality during the period 14 January–31 December 2020 in the 47 prefectures of Japan in total and stratified by sex and age groups

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