Global, regional, and national burden of mortality associated with non-optimal ambient temperatures from 2000 to 2019: a three-stage modelling study
Jazyk angličtina Země Nizozemsko Médium print
Typ dokumentu časopisecké články, Research Support, N.I.H., Extramural, práce podpořená grantem
Grantová podpora
P30 ES019776
NIEHS NIH HHS - United States
MR/R013349/1
Medical Research Council - United Kingdom
PubMed
34245712
DOI
10.1016/s2542-5196(21)00081-4
PII: S2542-5196(21)00081-4
Knihovny.cz E-zdroje
- MeSH
- klimatické změny MeSH
- nízká teplota * MeSH
- teplota MeSH
- vysoká teplota * MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Research Support, N.I.H., Extramural MeSH
- Geografické názvy
- Austrálie MeSH
BACKGROUND: Exposure to cold or hot temperatures is associated with premature deaths. We aimed to evaluate the global, regional, and national mortality burden associated with non-optimal ambient temperatures. METHODS: In this modelling study, we collected time-series data on mortality and ambient temperatures from 750 locations in 43 countries and five meta-predictors at a grid size of 0·5° × 0·5° across the globe. A three-stage analysis strategy was used. First, the temperature-mortality association was fitted for each location by use of a time-series regression. Second, a multivariate meta-regression model was built between location-specific estimates and meta-predictors. Finally, the grid-specific temperature-mortality association between 2000 and 2019 was predicted by use of the fitted meta-regression and the grid-specific meta-predictors. Excess deaths due to non-optimal temperatures, the ratio between annual excess deaths and all deaths of a year (the excess death ratio), and the death rate per 100 000 residents were then calculated for each grid across the world. Grids were divided according to regional groupings of the UN Statistics Division. FINDINGS: Globally, 5 083 173 deaths (95% empirical CI [eCI] 4 087 967-5 965 520) were associated with non-optimal temperatures per year, accounting for 9·43% (95% eCI 7·58-11·07) of all deaths (8·52% [6·19-10·47] were cold-related and 0·91% [0·56-1·36] were heat-related). There were 74 temperature-related excess deaths per 100 000 residents (95% eCI 60-87). The mortality burden varied geographically. Of all excess deaths, 2 617 322 (51·49%) occurred in Asia. Eastern Europe had the highest heat-related excess death rate and Sub-Saharan Africa had the highest cold-related excess death rate. From 2000-03 to 2016-19, the global cold-related excess death ratio changed by -0·51 percentage points (95% eCI -0·61 to -0·42) and the global heat-related excess death ratio increased by 0·21 percentage points (0·13-0·31), leading to a net reduction in the overall ratio. The largest decline in overall excess death ratio occurred in South-eastern Asia, whereas excess death ratio fluctuated in Southern Asia and Europe. INTERPRETATION: Non-optimal temperatures are associated with a substantial mortality burden, which varies spatiotemporally. Our findings will benefit international, national, and local communities in developing preparedness and prevention strategies to reduce weather-related impacts immediately and under climate change scenarios. FUNDING: Australian Research Council and the Australian National Health and Medical Research Council.
Department of Earth Sciences University of Turin Turin Italy
Department of Environmental Health National Institute of Public Health Cuernavaca Morelos Mexico
Department of Environmental Health School of Public Health Fudan University Shanghai China
Department of Environmental Health University of São Paulo São Paulo Brazil
Department of Epidemiology Lazio Regional Health Service Rome Italy
Department of Global Health Policy Graduate School of Medicine The University of Tokyo Tokyo Japan
Department of Pathology Faculty of Medicine University of São Paulo São Paulo Brazil
Department of Public Health and Clinical Medicine Umeå University Umeå Sweden
Department of Public Health Universidad de los Andes Santiago Chile
Department of Quantitative Methods School of Medicine University of the Republic Montevideo Uruguay
Faculty of Geography and Environmental Sciences Hakim Sabzevari University Sabzevar Iran
Faculty of Geography Babeş Bolyai University Cluj Napoca Romania
Faculty of Health and Sport Sciences University of Tsukuba Tsukuba Japan
Graduate School of Public Health Seoul National University Seoul South Korea
Institute of Environment Health and Societies Brunel University London London UK
Institute of Family Medicine and Public Health University of Tartu Tartu Estonia
National Institute of Environmental Health Science National Health Research Institutes Zhunan Taiwan
Norwegian institute of Public Health Oslo Norway
School of Physics Technological University Dublin Dublin Ireland
School of the Environment Yale University New Haven CT USA
School of Tropical Medicine and Global Health Nagasaki University Nagasaki Japan
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