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10.1016/j.puhe.2020.06.056 http://scihub22266oqcxt.onion/10.1016/j.puhe.2020.06.056 32693249!7340023!32693249     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=32693249&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215       Public+Health 2020 ; 185 (?): 261-263 Nephropedia Template TP {{tp|p=32693249|t=2020. Coronavirus disease 2019 mortality: a multivariate ecological analysis in relation to ethnicity, population density, obesity, deprivation and pollution |pdf=|usr=}}{{32693249}} gab.com Text Coronavirus disease 2019 mortality: a multivariate ecological analysis in relation to ethnicity, population density, obesity, deprivation and pollution JO: Public Health http://www.kidney.de/pget.php?&tw=1&pmid=32693249 #FOAvip 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. Twit Text FOAVip Coronavirus disease 2019 mortality: a multivariate ecological analysis in relation to ethnicity, population density, obesity, deprivation and pollution ????Public Health http://www.kidney.de/pget.php?&tw=1&pmid=32693249 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32693249 #FOAvip English Wikipedia <ref>{{Cite pmid|32693249}}</ref> 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 (?): 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]Coronavirus disease 2019 mortality: a multivariate ecological analysis(epmc).pdf DeepDyve Pubget Overpricing