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10.1093/ije/dyab216 http://scihub22266oqcxt.onion/10.1093/ije/dyab216 34718594!8856001!34718594     free     free     free Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 263.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Int+J+Epidemiol 2022 ; 51 (1): 75-84 Nephropedia Template TP {{tp|p=34718594|t=2022. Reduced mortality during the COVID-19 outbreak in Japan, 2020: a two-stage interrupted time-series design |pdf=|usr=}}{{34718594}} gab.com Text Reduced mortality during the COVID-19 outbreak in Japan, 2020: a two-stage interrupted time-series design JO: Int J Epidemiol http://www.kidney.de/pget.php?&tw=1&pmid=34718594 #FOAvip 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. 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. 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 -1.7% (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. Further evaluation of cause-specific excess mortality is warranted. Twit Text FOAVip Reduced mortality during the COVID-19 outbreak in Japan, 2020: a two-stage interrupted time-series design ????Int J Epidemiol http://www.kidney.de/pget.php?&tw=1&pmid=34718594 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34718594 #FOAvip English Wikipedia <ref>{{Cite pmid|34718594}}</ref> Reduced mortality during the COVID-19 outbreak in Japan, 2020: a two-stage interrupted time-series design #MMPMID34718594 Onozuka D; Tanoue Y; Nomura S; Kawashima T; Yoneoka D; Eguchi A; Ng CFS; Matsuura K; Shi S; Makiyama K; Uryu S; Kawamura Y; Takayanagi S; Gilmour S; Hayashi TI; Miyata H; Sera F; Sunagawa T; Takahashi T; Tsuchihashi Y; Kobayashi Y; Arima Y; Kanou K; Suzuki M; Hashizume M Int J Epidemiol 2022[Feb]; 51 (1): 75-84 PMID34718594show ga 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. 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. 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 -1.7% (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. Further evaluation of cause-specific excess mortality is warranted. |*COVID-19[MESH] |Disease Outbreaks[MESH] |Female[MESH] |Humans[MESH] |Interrupted Time Series Analysis[MESH] |Japan/epidemiology[MESH] |Male[MESH] |Mortality[MESH]Reduced mortality during the COVID-19 outbreak in Japan, 2020: a two-s(epmc).pdf DeepDyve Pubget Overpricing