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Coronavirus disease 2019 mortality: a multivariate ecological analysis in relation to ethnicity, population density, obesity, deprivation and pollution.
Bray, I; Gibson, A; White, J.
  • Bray I; Centre for Public Health and Wellbeing, University of the West of England, Frenchay Campus, Coldharbour Lane, Bristol BS16 1QY, UK. Electronic address: issy.bray@uwe.ac.uk.
  • Gibson A; Centre for Public Health and Wellbeing, University of the West of England, Frenchay Campus, Coldharbour Lane, Bristol BS16 1QY, UK. Electronic address: andy.gibson@uwe.ac.uk.
  • White J; Centre for Public Health and Wellbeing, University of the West of England, Frenchay Campus, Coldharbour Lane, Bristol BS16 1QY, UK. Electronic address: jo.white@uwe.ac.uk.
Public Health ; 185: 261-263, 2020 Aug.
Article in English | MEDLINE | ID: covidwho-658503
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Health Status Disparities Type of study: Observational study / Prognostic study / Randomized controlled trials Limits: Humans Country/Region as subject: Europa Language: English Journal: Public Health Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Health Status Disparities Type of study: Observational study / Prognostic study / Randomized controlled trials Limits: Humans Country/Region as subject: Europa Language: English Journal: Public Health Year: 2020 Document Type: Article