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Projections of excess mortality related to diurnal temperature range under climate change scenarios: a multi-country modelling study

Authors :
Whanhee Lee, PhD
Yoonhee Kim, PhD
Francesco Sera, MSc
Antonio Gasparrini, ProfPhD
Rokjin Park, ProfPhD
Hayon Michelle Choi, MSc
Kristi Prifti, MPH
Michelle L Bell, ProfPhD
Rosana Abrutzky, PhD
Yuming Guo, ProfPhD
Shilu Tong, ProfPhD
Micheline de Sousa Zanotti Stagliorio Coelho, PhD
Paulo Hilario Nascimento Saldiva, ProfPhD
Eric Lavigne, ProfPhD
Hans Orru, PhD
Ene Indermitte, PhD
Jouni J K Jaakkola, ProfPhD
Niilo R I Ryti, PhD
Mathilde Pascal, PhD
Patrick Goodman, ProfPhD
Ariana Zeka, ScD
Masahiro Hashizume, ProfPhD
Yasushi Honda, ProfPhD
Magali Hurtado Diaz, ProfPhD
Julio César Cruz, MSc
Ala Overcenco, PhD
Baltazar Nunes, ProfPhD
Joana Madureira, PhD
Noah Scovronick, PhD
Fiorella Acquaotta, PhD
Aurelio Tobias, PhD
Ana Maria Vicedo-Cabrera, PhD
Martina S Ragettli, PhD
Yue-Liang Leon Guo, ProfPhD
Bing-Yu Chen, PhD
Shanshan Li, PhD
Ben Armstrong, ProfPhD
Antonella Zanobetti, PhD
Joel Schwartz, ProfPhD
Ho Kim, ProfPhD
Source :
The Lancet Planetary Health, Vol 4, Iss 11, Pp e512-e521 (2020)
Publication Year :
2020
Publisher :
Elsevier, 2020.

Abstract

Summary: 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.

Subjects

Subjects :
Environmental sciences
GE1-350

Details

Language :
English
ISSN :
25425196
Volume :
4
Issue :
11
Database :
Directory of Open Access Journals
Journal :
The Lancet Planetary Health
Publication Type :
Academic Journal
Accession number :
edsdoj.6d526bde29b1428597fb26cd0acc6a9c
Document Type :
article
Full Text :
https://doi.org/10.1016/S2542-5196(20)30222-9