Coronavirus disease 2019 mortality: a multivariate ecological analysis in relation to ethnicity, population density, obesity, deprivation and pollution

I. Bray, A. Gibson, J. White

Research output: Contribution to journalArticlepeer-review

34 Scopus citations

Abstract

Background: There is emerging evidence about characteristics that may increase the risk of coronavirus disease 2019 (COVID-19) mortality, but they are highly correlated. Methods: An ecological analysis was used to estimate associations between these variables and age-standardised COVID-19 mortality rates at the local authority level. Results: Ethnicity, population density and overweight/obesity were all found to have strong independent associations with COVID-19 mortality, at the local authority level. Discussion: This analysis provides some preliminary evidence about which variables are independently associated with COVID-19 mortality and suggests that others (deprivation and pollution) are not directly linked. It highlights the importance of multivariate analyses to understand the factors that increase vulnerability to COVID-19.

Original languageEnglish
Pages (from-to)261-263
Number of pages3
JournalPublic Health
Volume185
DOIs
StatePublished - Aug 2020

Keywords

  • COVID-19
  • Deprivation
  • Ethnicity
  • Obesity
  • Overweight
  • Pollution
  • Population density

Fingerprint

Dive into the research topics of 'Coronavirus disease 2019 mortality: a multivariate ecological analysis in relation to ethnicity, population density, obesity, deprivation and pollution'. Together they form a unique fingerprint.

Cite this