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Projection of extre...
Projection of extreme heat- and cold-related mortality in Sweden based on the spatial synoptic classification
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- Fonseca-Rodriguez, Osvaldo, PhD, 1982- (författare)
- Umeå universitet,Institutionen för epidemiologi och global hälsa,Enheten för demografi och åldrandeforskning (CEDAR),Umeå University, Sweden
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- Adams, Ryan E. (författare)
- Kent State Univ, USA,Department of Geography, Kent State University, OH, Kent, United States
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- Sheridan, Scott C. (författare)
- Kent State Univ, USA,Department of Geography, Kent State University, OH, Kent, United States
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- Schumann, Barbara (författare)
- Umeå universitet,Linnéuniversitetet,Institutionen för hälso- och vårdvetenskap (HV),Umeå University, Sweden,Institutionen för epidemiologi och global hälsa,Enheten för demografi och åldrandeforskning (CEDAR),Department of Health and Caring Sciences, Linnaeus University, Kalmar, Sweden
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(creator_code:org_t)
- Elsevier, 2023
- 2023
- Engelska.
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Ingår i: Environmental Research. - : Elsevier. - 0013-9351 .- 1096-0953. ; 239
- Relaterad länk:
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https://doi.org/10.1...
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https://umu.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.1...
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https://urn.kb.se/re...
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Abstract
Ämnesord
Stäng
- Background: Climate change is projected to result in increased heat events and decreased cold events. This will substantially impact human health, particularly when compounded with demographic change. This study employed the Spatial Synoptic Classification (SSC) to categorize daily weather into one of seven types. Here we estimated future mortality due to extremely hot and cold weather types under different climate change scenarios for one southern (Stockholm) and one northern (Ja center dot mtland) Swedish region. Methods: Time-series Poisson regression with distributed lags was used to assess the relationship between extremely hot and cold weather events and daily deaths in the population above 65 years, with cumulative effects (6 days in summer, 28 days in winter), 1991 to 2014. A global climate model (MPI-M-MPI-ESM-LR) and two climate change scenarios (RCP 4.5 and 8.5) were used to project the occurrence of hot and cold days from 2031 to 2070. Place-specific projected mortality was calculated to derive attributable numbers and attributable fractions (AF) of heat- and cold-related deaths. Results: In Stockholm, for the RCP 4.5 scenario, the mean number of annual deaths attributed to heat increased from 48.7 (CI 32.2-64.2; AF = 0.68%) in 2031-2040 to 90.2 (56.7-120.5; AF = 0.97%) in 2061-2070, respectively. For RCP 8.5, heat-related deaths increased more drastically from 52.1 (33.6-69.7; AF = 0.72%) to 126.4 (68.7-175.8; AF = 1.36%) between the first and the last decade. Cold-related deaths slightly increased over the projected period in both scenarios. In Ja center dot mtland, projections showed a small decrease in cold-related deaths but no change in heat-related mortality.Conclusions: In rural northern region of Sweden, a decrease of cold-related deaths represents the dominant trend. In urban southern locations, on the other hand, an increase of heat-related mortality is to be expected. With an increasing elderly population, heat-related mortality will outweigh cold-related mortality at least under the RCP 8.5 scenario, requiring societal adaptation measures.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)
Nyckelord
- Spatial synoptic classification
- Heat
- Cold
- Mortality projection
- Climate change
- Sweden
- Health and Caring Sciences
- Hälsovetenskap
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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