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Influence of the Scandinavian climate pattern on the UK asthma mortality: a time series and geospatial study
  1. Haris Majeed1,2,
  2. G W K Moore3,4
  1. 1 Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada
  2. 2 Department of Diagnostic Imaging, The Hospital for Sick Children, Toronto, Ontario, Canada
  3. 3 Department of Physics, University of Toronto, Toronto, Ontario, Canada
  4. 4 Department of Chemical and Physical Sciences, University of Toronto Mississauga, Mississauga, Ontario, Canada
  1. Correspondence to Haris Majeed; haris.majeed{at}utoronto.ca

Abstract

Objective It is well known that climate variability and trends have an impact on human morbidity and mortality, especially during the winter. However, there are only a handful of studies that have undertaken quantitative investigations into this impact. We evaluate the association between the UK winter asthma mortality data to a well-established feature of the climate system, the Scandinavian (SCA) pattern.

Methods Time series analysis of monthly asthma mortality through the period of January 2001 to December 2015 was conducted, where the data were acquired from the UK’s Office for National Statistics. The correlations between indices of important modes of climate variability impacting the UK such as the North Atlantic Oscillation as well as the SCA and the asthma mortality time series were computed. A grid point correlation analysis was also conducted with the asthma data with sea level pressure, surface wind and temperature data acquired from the European Centre for Medium-Range Weather Forecasts.

Results We find that sea level pressure and temperature fluctuations associated with the SCA explain ~20% (>95% CL) of variance in the UK asthma mortality through a period of 2001–2015. Furthermore, the highest winter peak in asthma mortality occurred in the year 2015, during which there were strong northwesterly winds over the UK that were the result of a sea level pressure pattern similar to that associated with the SCA.

Conclusions Our study emphasises the importance of incorporating large-scale geospatial analyses into future research of understanding diseases and its environmental impact on human health.

  • asthma
  • geographical mapping
  • epidemiology

This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/

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Footnotes

  • Contributors HM conceived and designed the study as well as the figures. GWKM contributed to the data and statistical analysis. Both authors contributed equally to the writing and revising of the manuscript.

  • Funding This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.

  • Competing interests None declared.

  • Patient consent Not required.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Data sharing statement No additional data are available.