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Projections of temperature-related excess mortality under climate change scenarios

Authors :
Antonio Gasparrini, PhD
Yuming Guo, PhD
Francesco Sera, MSc
Ana Maria Vicedo-Cabrera, PhD
Veronika Huber, PhD
Shilu Tong, ProfPhD
Micheline de Sousa Zanotti Stagliorio Coelho, PhD
Paulo Hilario Nascimento Saldiva, ProfPhD
Eric Lavigne, PhD
Patricia Matus Correa, MSc
Nicolas Valdes Ortega, MSc
Haidong Kan, PhD
Samuel Osorio, MSc
Jan Kyselý, PhD
Aleš Urban, PhD
Jouni J K Jaakkola, ProfPhD
Niilo R I Ryti, PhD
Mathilde Pascal, PhD
Patrick G Goodman, ProfPhD
Ariana Zeka, PhD
Paola Michelozzi, MSc
Matteo Scortichini, MSc
Masahiro Hashizume, ProfPhD
Yasushi Honda, ProfPhD
Magali Hurtado-Diaz, ProfPhD
Julio Cesar Cruz, MSc
Xerxes Seposo, PhD
Ho Kim, ProfPhD
Aurelio Tobias, PhD
Carmen Iñiguez, PhD
Bertil Forsberg, ProfPhD
Daniel Oudin Åström, PhD
Martina S Ragettli, PhD
Yue Leon Guo, ProfPhD
Chang-fu Wu, PhD
Antonella Zanobetti, PhD
Joel Schwartz, ProfPhD
Michelle L Bell, ProfPhD
Tran Ngoc Dang, PhD
Dung Do Van, ProfPhD
Clare Heaviside, PhD
Sotiris Vardoulakis, PhD
Shakoor Hajat, PhD
Andy Haines, ProfFMedSci
Ben Armstrong, ProfPhD
Source :
The Lancet Planetary Health, Vol 1, Iss 9, Pp e360-e367 (2017)
Publication Year :
2017
Publisher :
Elsevier, 2017.

Abstract

Summary: Background: Climate change can directly affect human health by varying exposure to non-optimal outdoor temperature. However, evidence on this direct impact at a global scale is limited, mainly due to issues in modelling and projecting complex and highly heterogeneous epidemiological relationships across different populations and climates. Methods: We collected observed daily time series of mean temperature and mortality counts for all causes or non-external causes only, in periods ranging from Jan 1, 1984, to Dec 31, 2015, from various locations across the globe through the Multi-Country Multi-City Collaborative Research Network. We estimated temperature–mortality relationships through a two-stage time series design. We generated current and future daily mean temperature series under four scenarios of climate change, determined by varying trajectories of greenhouse gas emissions, using five general circulation models. We projected excess mortality for cold and heat and their net change in 1990–2099 under each scenario of climate change, assuming no adaptation or population changes. Findings: Our dataset comprised 451 locations in 23 countries across nine regions of the world, including 85 879 895 deaths. Results indicate, on average, a net increase in temperature-related excess mortality under high-emission scenarios, although with important geographical differences. In temperate areas such as northern Europe, east Asia, and Australia, the less intense warming and large decrease in cold-related excess would induce a null or marginally negative net effect, with the net change in 2090–99 compared with 2010–19 ranging from −1·2% (empirical 95% CI −3·6 to 1·4) in Australia to −0·1% (−2·1 to 1·6) in east Asia under the highest emission scenario, although the decreasing trends would reverse during the course of the century. Conversely, warmer regions, such as the central and southern parts of America or Europe, and especially southeast Asia, would experience a sharp surge in heat-related impacts and extremely large net increases, with the net change at the end of the century ranging from 3·0% (−3·0 to 9·3) in Central America to 12·7% (−4·7 to 28·1) in southeast Asia under the highest emission scenario. Most of the health effects directly due to temperature increase could be avoided under scenarios involving mitigation strategies to limit emissions and further warming of the planet. Interpretation: This study shows the negative health impacts of climate change that, under high-emission scenarios, would disproportionately affect warmer and poorer regions of the world. Comparison with lower emission scenarios emphasises the importance of mitigation policies for limiting global warming and reducing the associated health risks. Funding: UK Medical Research Council.

Subjects

Subjects :
Environmental sciences
GE1-350

Details

Language :
English
ISSN :
25425196
Volume :
1
Issue :
9
Database :
Directory of Open Access Journals
Journal :
The Lancet Planetary Health
Publication Type :
Academic Journal
Accession number :
edsdoj.9fce79111e1b496d973417d658fe84fd
Document Type :
article
Full Text :
https://doi.org/10.1016/S2542-5196(17)30156-0