Excess winter deaths in Europe: A multi-country descriptive analysis

Tom Fowler*, Rosamund J. Southgate, Thomas Waite, Ruth Harrell, Sari Kovats, Angie Bone, Yvonne Doyle, Virginia Murray

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

79 Citations (Scopus)

Abstract

Background: Winter deaths are a known health and social care challenge for many countries. A previous international comparison showed significant differences in excess winter deaths across Europe in the 1990s, with the northern countries having lower excess winter mortality than those in southern Europe. Methods: The Excess Winter Deaths Index (EWDI) is the ratio of deaths in the winter period (December to March) compared with deaths in the non-winter period. Data from the Eurostat database and national registries were used to calculate the EWDI for 31 countries in Europe across the time period 2002/2003 to 2010/2011. Results: National EWDI values show heterogeneity, with a broad pattern of increasing EWDI values from northern to southern Europe and increasing mean winter temperature (r2 = 0.50, P > 0.0001). Malta, Portugal, Spain, Cyprus and Belgium all had an EWDI that was statistically significantly higher than the average EWDI for the other 30 European countries. There was no clear association between country-level EWDI and the level of inter-annual variability in winter temperature across Europe. Discussion: This article demonstrates the differences in EWDI that exist between European countries with implications for both research and policy. Many deaths may be avoidable as environmental, social and personal factors are known to contribute to winter mortality. We now need to work to better understand the causes of inter-country differences.

Original languageEnglish
Pages (from-to)339-345
Number of pages7
JournalEuropean Journal of Public Health
Volume25
Issue number2
DOIs
Publication statusPublished - 1 Apr 2015

Fingerprint

Dive into the research topics of 'Excess winter deaths in Europe: A multi-country descriptive analysis'. Together they form a unique fingerprint.

Cite this