» Articles » PMID: 33627311

Excess Mortality in Wuhan City and Other Parts of China During the Three Months of the Covid-19 Outbreak: Findings from Nationwide Mortality Registries

Overview
Journal BMJ
Specialty General Medicine
Date 2021 Feb 25
PMID 33627311
Citations 66
Authors
Affiliations
Soon will be listed here.
Abstract

Objective: To assess excess all cause and cause specific mortality during the three months (1 January to 31 March 2020) of the coronavirus disease 2019 (covid-19) outbreak in Wuhan city and other parts of China.

Design: Nationwide mortality registries.

Setting: 605 urban districts and rural counties in China's nationally representative Disease Surveillance Point (DSP) system.

Participants: More than 300 million people of all ages.

Main Outcome Measures: Observed overall and weekly mortality rates from all cause and cause specific diseases for three months (1 January to 31 March 2020) of the covid-19 outbreak compared with the predicted (or mean rates for 2015-19) in different areas to yield rate ratio.

Results: The DSP system recorded 580 819 deaths from January to March 2020. In Wuhan DSP districts (n=3), the observed total mortality rate was 56% (rate ratio 1.56, 95% confidence interval 1.33 to 1.87) higher than the predicted rate (1147 735 per 100 000), chiefly as a result of an eightfold increase in deaths from pneumonia (n=1682; 275 33 per 100 000; 8.32, 5.19 to 17.02), mainly covid-19 related, but a more modest increase in deaths from certain other diseases, including cardiovascular disease (n=2347; 408 316 per 100 000; 1.29, 1.05 to 1.65) and diabetes (n=262; 46 25 per 100 000; 1.83, 1.08 to 4.37). In Wuhan city (n=13 districts), 5954 additional (4573 pneumonia) deaths occurred in 2020 compared with 2019, with excess risks greater in central than in suburban districts (50% 15%). In other parts of Hubei province (n=19 DSP areas), the observed mortality rates from pneumonia and chronic respiratory diseases were non-significantly 28% and 23% lower than the predicted rates, despite excess deaths from covid-19 related pneumonia. Outside Hubei (n=583 DSP areas), the observed total mortality rate was non-significantly lower than the predicted rate (675 715 per 100 000), with significantly lower death rates from pneumonia (0.53, 0.46 to 0.63), chronic respiratory diseases (0.82, 0.71 to 0.96), and road traffic incidents (0.77, 0.68 to 0.88).

Conclusions: Except in Wuhan, no increase in overall mortality was found during the three months of the covid-19 outbreak in other parts of China. The lower death rates from certain non-covid-19 related diseases might be attributable to the associated behaviour changes during lockdown.

Citing Articles

Excess mortality during COVID-19 and prediction of mortality in Bangladesh: an analysis based on death records in urban graveyards.

Akter E, Hossain A, Ahamed B, Rahman M, Akm T, Barua U J Glob Health. 2025; 15:04050.

PMID: 40019156 PMC: 11869516. DOI: 10.7189/jogh.15.04050.


Direct and indirect effects of the COVID-19 pandemic on mortality: an individual-level population-scale analysis using linked electronic health records, Wales, United Kingdom, 2016 to 2022.

Owen R, van Oppen J, Lyons J, Akbari A, Davies G, Torabi F Euro Surveill. 2024; 29(50).

PMID: 39668763 PMC: 11650509. DOI: 10.2807/1560-7917.ES.2024.29.50.2400085.


Cause-specific excess mortality in Denmark, Finland, Norway, and Sweden during the COVID-19 pandemic 2020-2022: a study using nationwide population data.

Nilsson A, Emilsson L, Kepp K, Knudsen A, Forthun I, Madsen C Eur J Epidemiol. 2024; 39(9):1037-1050.

PMID: 39285102 PMC: 11470911. DOI: 10.1007/s10654-024-01154-0.


Excess cardiovascular mortality across multiple COVID-19 waves in the United States from March 2020 to March 2022.

Han L, Zhao S, Li S, Gu S, Deng X, Yang L Nat Cardiovasc Res. 2024; 2(3):322-333.

PMID: 39195997 DOI: 10.1038/s44161-023-00220-2.


National age-specific mortality trends for cervical and breast cancers in urban-rural areas of China from 2009 to 2021: a population-based analysis.

Li M, Qi J, Ma Y, Shu W, Xiao H, Wang L Mil Med Res. 2024; 11(1):55.

PMID: 39138529 PMC: 11323448. DOI: 10.1186/s40779-024-00561-4.


References
1.
Chan J, Yuan S, Kok K, To K, Chu H, Yang J . A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster. Lancet. 2020; 395(10223):514-523. PMC: 7159286. DOI: 10.1016/S0140-6736(20)30154-9. View

2.
Akhmerov A, Marban E . COVID-19 and the Heart. Circ Res. 2020; 126(10):1443-1455. DOI: 10.1161/CIRCRESAHA.120.317055. View

3.
Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z . Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet. 2020; 395(10229):1054-1062. PMC: 7270627. DOI: 10.1016/S0140-6736(20)30566-3. View

4.
Wu J, Leung K, Leung G . Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study. Lancet. 2020; 395(10225):689-697. PMC: 7159271. DOI: 10.1016/S0140-6736(20)30260-9. View

5.
Riou J, Althaus C . Pattern of early human-to-human transmission of Wuhan 2019 novel coronavirus (2019-nCoV), December 2019 to January 2020. Euro Surveill. 2020; 25(4). PMC: 7001239. DOI: 10.2807/1560-7917.ES.2020.25.4.2000058. View