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Weather patterns and all-cause mortality in England, UK

Psistaki, Kyriaki; Paschalidou, Anastasia K.; McGregor, Glenn

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Authors

Kyriaki Psistaki

Anastasia K. Paschalidou



Abstract

Cold- and heat-related mortality poses significant public health concerns worldwide. Although there are numerous studies dealing with the association between extreme ambient temperature and mortality, only a small number adopt a synoptic climatological approach in order to understand the nature of weather systems that precipitate increases in cold- or heat-related mortality. In this paper, the Lamb Weather Type synoptic classification is used to examine the relationship between daily mortality and weather patterns across nine regions of England. Analysis results revealed that the population in England is more susceptible to cold weather. Furthermore, it was found that the Easterly weather types are the most hazardous for public health all-year-long; however, during the cold period, the results are more evident and spatially homogenous. Nevertheless, it is noteworthy that the most dangerous weather conditions are not always associated with extreme (high or low) temperatures, a finding which points to the complexity of weather-related health effects and highlights the importance of a synoptic climatological approach in elucidating the relationship between temperature and mortality.

Citation

Psistaki, K., Paschalidou, A. K., & McGregor, G. (2020). Weather patterns and all-cause mortality in England, UK. International Journal of Biometeorology, 64, 123-136. https://doi.org/10.1007/s00484-019-01803-0

Journal Article Type Article
Acceptance Date Sep 12, 2019
Online Publication Date Nov 9, 2019
Publication Date 2020
Deposit Date Nov 29, 2019
Publicly Available Date Nov 9, 2020
Journal International Journal of Biometeorology
Print ISSN 0020-7128
Electronic ISSN 1432-1254
Publisher Springer
Peer Reviewed Peer Reviewed
Volume 64
Pages 123-136
DOI https://doi.org/10.1007/s00484-019-01803-0
Public URL https://durham-repository.worktribe.com/output/1312732

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