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Global, regional, and national burden of mortality associated with non-optimal ambient temperatures from 2000 to 2019: a three-stage modelling study

Authors :
Qi Zhao, ProfPhD
Yuming Guo, ProfPhD
Tingting Ye, MSc
Antonio Gasparrini, ProfPhD
Shilu Tong, ProfPhD
Ala Overcenco, PhD
Aleš Urban, PhD
Alexandra Schneider, PhD
Alireza Entezari, PhD
Ana Maria Vicedo-Cabrera, PhD
Antonella Zanobetti, PhD
Antonis Analitis, PhD
Ariana Zeka, PhD
Aurelio Tobias, PhD
Baltazar Nunes, PhD
Barrak Alahmad, MPH
Ben Armstrong, ProfPhD
Bertil Forsberg, ProfPhD
Shih-Chun Pan, PhD
Carmen Íñiguez, PhD
Caroline Ameling, BS
César De la Cruz Valencia, MSc
Christofer Åström, PhD
Danny Houthuijs, MSc
Do Van Dung, PhD
Dominic Royé, PhD
Ene Indermitte, PhD
Eric Lavigne, ProfPhD
Fatemeh Mayvaneh, PhD
Fiorella Acquaotta, PhD
Francesca de'Donato, PhD
Francesco Di Ruscio, PhD
Francesco Sera, MSc
Gabriel Carrasco-Escobar, MSc
Haidong Kan, ProfPhD
Hans Orru, PhD
Ho Kim, ProfPhD
Iulian-Horia Holobaca, PhD
Jan Kyselý, PhD
Joana Madureira, PhD
Joel Schwartz, ProfPhD
Jouni J K Jaakkola, ProfPhD
Klea Katsouyanni, ProfPhD
Magali Hurtado Diaz, ProfPhD
Martina S Ragettli, PhD
Masahiro Hashizume, ProfPhD
Mathilde Pascal, PhD
Micheline de Sousa Zanotti Stagliorio Coélho, PhD
Nicolás Valdés Ortega, MSc
Niilo Ryti, PhD
Noah Scovronick, PhD
Paola Michelozzi, MSc
Patricia Matus Correa, MSc
Patrick Goodman, ProfPhD
Paulo Hilario Nascimento Saldiva, ProfPhD
Rosana Abrutzky, MSc
Samuel Osorio, MSc
Shilpa Rao, PhD
Simona Fratianni, PhD
Tran Ngoc Dang, PhD
Valentina Colistro, MSc
Veronika Huber, PhD
Whanhee Lee, PhD
Xerxes Seposo, PhD
Yasushi Honda, ProfPhD
Yue Leon Guo, ProfPhD
Michelle L Bell, ProfPhD
Shanshan Li, PhD
Source :
The Lancet Planetary Health, Vol 5, Iss 7, Pp e415-e425 (2021)
Publication Year :
2021
Publisher :
Elsevier, 2021.

Abstract

Summary: 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.

Subjects

Subjects :
Environmental sciences
GE1-350

Details

Language :
English
ISSN :
25425196
Volume :
5
Issue :
7
Database :
Directory of Open Access Journals
Journal :
The Lancet Planetary Health
Publication Type :
Academic Journal
Accession number :
edsdoj.824f542f8254712a861afb1574fc8a1
Document Type :
article
Full Text :
https://doi.org/10.1016/S2542-5196(21)00081-4