The distributional impact of Covid-19: Geographic variation in mortality in England.

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. [ABSTRACT FROM AUTHOR]

Copyright of Demographic Research is the property of Max-Planck Institute for Demographic Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)