TY - JOUR
T1 - Projections of excess mortality related to diurnal temperature range under climate change scenarios
T2 - a multi-country modelling study
AU - Lee, Whanhee
AU - Kim, Yoonhee
AU - Sera, Francesco
AU - Gasparrini, Antonio
AU - Park, Rokjin
AU - Michelle Choi, Hayon
AU - Prifti, Kristi
AU - Bell, Michelle L.
AU - Abrutzky, Rosana
AU - Guo, Yuming
AU - Tong, Shilu
AU - de Sousa Zanotti Stagliorio Coelho, Micheline
AU - Nascimento Saldiva, Paulo Hilario
AU - Lavigne, Eric
AU - Orru, Hans
AU - Indermitte, Ene
AU - Jaakkola, Jouni J.K.
AU - Ryti, Niilo R.I.
AU - Pascal, Mathilde
AU - Goodman, Patrick
AU - Zeka, Ariana
AU - Hashizume, Masahiro
AU - Honda, Yasushi
AU - Hurtado Diaz, Magali
AU - César Cruz, Julio
AU - Overcenco, Ala
AU - Nunes, Baltazar
AU - Madureira, Joana
AU - Scovronick, Noah
AU - Acquaotta, Fiorella
AU - Tobias, Aurelio
AU - Vicedo-Cabrera, Ana Maria
AU - Ragettli, Martina S.
AU - Guo, Yue Liang Leon
AU - Chen, Bing Yu
AU - Li, Shanshan
AU - Armstrong, Ben
AU - Zanobetti, Antonella
AU - Schwartz, Joel
AU - Kim, Ho
N1 - Publisher Copyright:
© 2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license
PY - 2020/11
Y1 - 2020/11
N2 - Background: Various retrospective studies have reported on the increase of mortality risk due to higher diurnal temperature range (DTR). This study projects the effect of DTR on future mortality across 445 communities in 20 countries and regions. Methods: DTR-related mortality risk was estimated on the basis of the historical daily time-series of mortality and weather factors from Jan 1, 1985, to Dec 31, 2015, with data for 445 communities across 20 countries and regions, from the Multi-Country Multi-City Collaborative Research Network. We obtained daily projected temperature series associated with four climate change scenarios, using the four representative concentration pathways (RCPs) described by the Intergovernmental Panel on Climate Change, from the lowest to the highest emission scenarios (RCP 2.6, RCP 4.5, RCP 6.0, and RCP 8.5). Excess deaths attributable to the DTR during the current (1985–2015) and future (2020–99) periods were projected using daily DTR series under the four scenarios. Future excess deaths were calculated on the basis of assumptions that warmer long-term average temperatures affect or do not affect the DTR-related mortality risk. Findings: The time-series analyses results showed that DTR was associated with excess mortality. Under the unmitigated climate change scenario (RCP 8.5), the future average DTR is projected to increase in most countries and regions (by −0·4 to 1·6°C), particularly in the USA, south-central Europe, Mexico, and South Africa. The excess deaths currently attributable to DTR were estimated to be 0·2–7·4%. Furthermore, the DTR-related mortality risk increased as the long-term average temperature increased; in the linear mixed model with the assumption of an interactive effect with long-term average temperature, we estimated 0·05% additional DTR mortality risk per 1°C increase in average temperature. Based on the interaction with long-term average temperature, the DTR-related excess deaths are projected to increase in all countries or regions by 1·4–10·3% in 2090–99. Interpretation: This study suggests that globally, DTR-related excess mortality might increase under climate change, and this increasing pattern is likely to vary between countries and regions. Considering climatic changes, our findings could contribute to public health interventions aimed at reducing the impact of DTR on human health. Funding: Korea Ministry of Environment.
AB - Background: Various retrospective studies have reported on the increase of mortality risk due to higher diurnal temperature range (DTR). This study projects the effect of DTR on future mortality across 445 communities in 20 countries and regions. Methods: DTR-related mortality risk was estimated on the basis of the historical daily time-series of mortality and weather factors from Jan 1, 1985, to Dec 31, 2015, with data for 445 communities across 20 countries and regions, from the Multi-Country Multi-City Collaborative Research Network. We obtained daily projected temperature series associated with four climate change scenarios, using the four representative concentration pathways (RCPs) described by the Intergovernmental Panel on Climate Change, from the lowest to the highest emission scenarios (RCP 2.6, RCP 4.5, RCP 6.0, and RCP 8.5). Excess deaths attributable to the DTR during the current (1985–2015) and future (2020–99) periods were projected using daily DTR series under the four scenarios. Future excess deaths were calculated on the basis of assumptions that warmer long-term average temperatures affect or do not affect the DTR-related mortality risk. Findings: The time-series analyses results showed that DTR was associated with excess mortality. Under the unmitigated climate change scenario (RCP 8.5), the future average DTR is projected to increase in most countries and regions (by −0·4 to 1·6°C), particularly in the USA, south-central Europe, Mexico, and South Africa. The excess deaths currently attributable to DTR were estimated to be 0·2–7·4%. Furthermore, the DTR-related mortality risk increased as the long-term average temperature increased; in the linear mixed model with the assumption of an interactive effect with long-term average temperature, we estimated 0·05% additional DTR mortality risk per 1°C increase in average temperature. Based on the interaction with long-term average temperature, the DTR-related excess deaths are projected to increase in all countries or regions by 1·4–10·3% in 2090–99. Interpretation: This study suggests that globally, DTR-related excess mortality might increase under climate change, and this increasing pattern is likely to vary between countries and regions. Considering climatic changes, our findings could contribute to public health interventions aimed at reducing the impact of DTR on human health. Funding: Korea Ministry of Environment.
UR - https://www.scopus.com/pages/publications/85095687935
U2 - 10.1016/S2542-5196(20)30222-9
DO - 10.1016/S2542-5196(20)30222-9
M3 - Article
C2 - 33159878
AN - SCOPUS:85095687935
SN - 2542-5196
VL - 4
SP - e512-e521
JO - The Lancet Planetary Health
JF - The Lancet Planetary Health
IS - 11
ER -