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10.1016/j.puhe.2020.06.056

http://scihub22266oqcxt.onion/10.1016/j.puhe.2020.06.056
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suck abstract from ncbi


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pmid32693249      Public+Health 2020 ; 185 (ä): 261-263
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  • Coronavirus disease 2019 mortality: a multivariate ecological analysis in relation to ethnicity, population density, obesity, deprivation and pollution #MMPMID32693249
  • Bray I; Gibson A; White J
  • Public Health 2020[Aug]; 185 (ä): 261-263 PMID32693249show ga
  • 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.
  • |*Health Status Disparities[MESH]
  • |Air Pollution/adverse effects/statistics & numerical data[MESH]
  • |COVID-19[MESH]
  • |Coronavirus Infections/*mortality[MESH]
  • |England/epidemiology[MESH]
  • |Ethnicity/statistics & numerical data[MESH]
  • |Humans[MESH]
  • |Mortality/trends[MESH]
  • |Multivariate Analysis[MESH]
  • |Obesity/epidemiology[MESH]
  • |Pandemics[MESH]
  • |Pneumonia, Viral/*mortality[MESH]
  • |Population Density[MESH]
  • |Risk Factors[MESH]


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