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

    Bray, I / Gibson, A / White, J

    Public health

    2020  Volume 185, Page(s) 261–263

    Abstract: ... of coronavirus disease 2019 (COVID-19) mortality, but they are highly correlated.: Methods: An ecological ... rates at the local authority level.: Results: Ethnicity, population density and overweight/obesity ... independently associated with COVID-19 mortality and suggests that others (deprivation and pollution) are not ...

    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.
    MeSH term(s) Air Pollution/adverse effects ; Air Pollution/statistics & numerical data ; COVID-19 ; Coronavirus Infections/mortality ; England/epidemiology ; Ethnicity/statistics & numerical data ; Health Status Disparities ; Humans ; Mortality/trends ; Multivariate Analysis ; Obesity/epidemiology ; Pandemics ; Pneumonia, Viral/mortality ; Population Density ; Risk Factors ; Socioeconomic Factors
    Keywords covid19
    Language English
    Publishing date 2020-07-07
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 427333-3
    ISSN 1476-5616 ; 0033-3506
    ISSN (online) 1476-5616
    ISSN 0033-3506
    DOI 10.1016/j.puhe.2020.06.056
    Database MEDical Literature Analysis and Retrieval System OnLINE

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

    Bray, I / Gibson, A / White, J

    Public Health

    Abstract: ... of coronavirus disease 2019 (COVID-19) mortality, but they are highly correlated. METHODS: An ecological analysis ... rates at the local authority level. RESULTS: Ethnicity, population density and overweight/obesity were ... associated with COVID-19 mortality and suggests that others (deprivation and pollution) are not directly ...

    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.
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #658503
    Database COVID19

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