TY - JOUR
T1 - Projections of temperature-related excess mortality under climate change scenarios
AU - Gasparrini, Antonio
AU - Guo, Yuming
AU - Sera, Francesco
AU - Vicedo-Cabrera, Ana Maria
AU - Huber, Veronika
AU - Tong, Shilu
AU - de Sousa Zanotti Stagliorio Coelho, Micheline
AU - Nascimento Saldiva, Paulo Hilario
AU - Lavigne, Eric
AU - Matus Correa, Patricia
AU - Valdes Ortega, Nicolas
AU - Kan, Haidong
AU - Osorio, Samuel
AU - Kyselý, Jan
AU - Urban, Aleš
AU - Jaakkola, Jouni J.K.
AU - Ryti, Niilo R.I.
AU - Pascal, Mathilde
AU - Goodman, Patrick G.
AU - Zeka, Ariana
AU - Michelozzi, Paola
AU - Scortichini, Matteo
AU - Hashizume, Masahiro
AU - Honda, Yasushi
AU - Hurtado-Diaz, Magali
AU - Cesar Cruz, Julio
AU - Seposo, Xerxes
AU - Kim, Ho
AU - Tobias, Aurelio
AU - Iñiguez, Carmen
AU - Forsberg, Bertil
AU - Åström, Daniel Oudin
AU - Ragettli, Martina S.
AU - Guo, Yue Leon
AU - Wu, Chang fu
AU - Zanobetti, Antonella
AU - Schwartz, Joel
AU - Bell, Michelle L.
AU - Dang, Tran Ngoc
AU - Van, Dung Do
AU - Heaviside, Clare
AU - Vardoulakis, Sotiris
AU - Hajat, Shakoor
AU - Haines, Andy
AU - Armstrong, Ben
N1 - Publisher Copyright:
© 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85042434896&partnerID=8YFLogxK
U2 - 10.1016/S2542-5196(17)30156-0
DO - 10.1016/S2542-5196(17)30156-0
M3 - Article
AN - SCOPUS:85042434896
SN - 2542-5196
VL - 1
SP - e360-e367
JO - The Lancet Planetary Health
JF - The Lancet Planetary Health
IS - 9
ER -