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10.2991/jegh.k.200721.001 http://scihub22266oqcxt.onion/10.2991/jegh.k.200721.001 32954710!7509102!32954710     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\32954710.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       J+Epidemiol+Glob+Health 2020 ; 10 (3): 204-208 Nephropedia Template TP {{tp|p=32954710|t=2020. Population Risk Factors for COVID-19 Mortality in 93 Countries |pdf=|usr=}}{{32954710}} gab.com Text Population Risk Factors for COVID-19 Mortality in 93 Countries JO: J Epidemiol Glob Health http://www.kidney.de/pget.php?&tw=1&pmid=32954710 #FOAvip Death rates due to COVID-19 pandemic vary considerably across regions and countries. Case Mortality Rates (CMR) per 100,000 population are more reliable than case-fatality rates per 100 test-positive cases, which are heavily dependent on the extent of viral case testing carried out in a country. We aimed to study the variations in CMR against population risk factors such as aging, underlying chronic diseases and social determinants such as poverty and overcrowding. Data on COVID-19 CMR in 93 countries was analyzed for associations with preexisting prevalence rates of eight diseases [asthma, lung cancer, Chronic Obstructive Pulmonary Disease (COPD), Alzheimer's Disease (AD), hypertension, ischemic heart disease, depression and diabetes], and six socio-demographic factors [Gross Domestic Product (GDP) per capita, unemployment, age over 65 years, urbanization, population density, and socio-demographic index]. These data were analyzed in three steps: correlation analysis, bivariate comparison of countries, and multivariate modelling. Bivariate analysis revealed that COVID-19 CMR were higher in countries that had high prevalence of population risk factors such as AD, lung cancer, asthma and COPD. On multivariate modeling however, AD, COPD, depression and higher GDP predicted increased death rates. Comorbid illnesses such as AD and lung diseases may be more influential than aging alone. Twit Text FOAVip Population Risk Factors for COVID-19 Mortality in 93 Countries ????J Epidemiol Glob Health http://www.kidney.de/pget.php?&tw=1&pmid=32954710 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32954710 #FOAvip English Wikipedia <ref>{{Cite pmid|32954710}}</ref> Population Risk Factors for COVID-19 Mortality in 93 Countries #MMPMID32954710 Hashim MJ; Alsuwaidi AR; Khan G J Epidemiol Glob Health 2020[Sep]; 10 (3): 204-208 PMID32954710show ga Death rates due to COVID-19 pandemic vary considerably across regions and countries. Case Mortality Rates (CMR) per 100,000 population are more reliable than case-fatality rates per 100 test-positive cases, which are heavily dependent on the extent of viral case testing carried out in a country. We aimed to study the variations in CMR against population risk factors such as aging, underlying chronic diseases and social determinants such as poverty and overcrowding. Data on COVID-19 CMR in 93 countries was analyzed for associations with preexisting prevalence rates of eight diseases [asthma, lung cancer, Chronic Obstructive Pulmonary Disease (COPD), Alzheimer's Disease (AD), hypertension, ischemic heart disease, depression and diabetes], and six socio-demographic factors [Gross Domestic Product (GDP) per capita, unemployment, age over 65 years, urbanization, population density, and socio-demographic index]. These data were analyzed in three steps: correlation analysis, bivariate comparison of countries, and multivariate modelling. Bivariate analysis revealed that COVID-19 CMR were higher in countries that had high prevalence of population risk factors such as AD, lung cancer, asthma and COPD. On multivariate modeling however, AD, COPD, depression and higher GDP predicted increased death rates. Comorbid illnesses such as AD and lung diseases may be more influential than aging alone. |*Mortality[MESH] |*Population Surveillance[MESH] |Adult[MESH] |Age Factors[MESH] |Aged[MESH] |Aged, 80 and over[MESH] |COVID-19[MESH] |Coronavirus Infections/*epidemiology/*mortality[MESH] |Global Health/*statistics & numerical data[MESH] |Humans[MESH] |Middle Aged[MESH] |Pandemics/*statistics & numerical data[MESH] |Pneumonia, Viral/*epidemiology/*mortality[MESH] |Prevalence[MESH]Population Risk Factors for COVID-19 Mortality in 93 Countries (epmc).pdf DeepDyve Pubget Overpricing