Volume 44 - Article 17 | Pages 397–414
The distributional impact of COVID-19: Geographic variation in mortality in England
|Date received:||02 Jun 2020|
|Date published:||23 Feb 2021|
|Keywords:||age and sex standardised mortality, COVID-19, distributional impact, geographic variation|
|Additional files:||readme.44-17 (text file, 2 kB)|
|demographic-research.44-17 (zip file, 32 MB)|
|demographic-research.44-17_ ocal_Authority_Districts__December_2016__Boundaries-shp (zip file, 32 MB)|
Background: By their nature, the impact of epidemics on mortality varies geographically, suggesting that the geographical impact of an epidemic implies a social impact.
Objective: To examine the association between two measures of the social composition of a local area and age- and sex-standardised Covid-19 and other mortality in the period 1 March to 31 July 2020. The measures are how deprived an area is and what proportion of its population is non-white.
Methods: Using spatial autoregressive regression we analyse geographical variation in age- and sex-standardised Covid-19 mortality among English local authorities between 1 March and 31 July 2020 in relation to measures of social composition, and we compare it with mortality from non-Covid sources in the same period, and with all-causes mortality in 2018.
Results: Areas with higher social deprivation have a higher Covid-19 mortality rate, but the association is much weaker than between social deprivation and mortality rates more generally. An area’s proportion non-white has a strong positive association with Covid-19 mortality, in contrast to a negative association with 2020 non-Covid and with 2018 mortality.
Conclusions: Covid-19 mortality is related to the social composition of areas in different ways than current non-Covid mortality or past mortality.
Contribution: The paper provides the first demonstration of the distinct distributional impact of mortality in relation to the Covid-19 virus by the social composition of areas in England.
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