Cargando…

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

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Bray, I., Gibson, A., White, J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society for Public Health. Published by Elsevier Ltd. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7340023/
https://www.ncbi.nlm.nih.gov/pubmed/32693249
http://dx.doi.org/10.1016/j.puhe.2020.06.056
Descripción
Sumario: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.