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10.1111/ruso.12404 http://scihub22266oqcxt.onion/10.1111/ruso.12404 34908598!8661577!34908598     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Rural+Sociol 2022 ; 87 (1): 94-118 Nephropedia Template TP {{tp|p=34908598|t=2022. COVID-19 in Rural America: Impacts of Politics and Disadvantage |pdf=|usr=}}{{34908598}} gab.com Text COVID-19 in Rural America: Impacts of Politics and Disadvantage JO: Rural Sociol http://www.kidney.de/pget.php?&tw=1&pmid=34908598 #FOAvip Early in the COVID-19 pandemic, people living in cities were much more likely than rural residents to become infected with and die from the virus. Beginning in the summer of 2020, however, the proportional increase in virus spread became much greater in rural areas. By March 2021, per capita cases and deaths were greater in nonmetro than in metro areas. Multi-variate regression analysis found that political views were the most important variable explaining per capita COVID-19 cases, while measures of disadvantage were the best predictors of COVID-19 deaths. Counties with high proportions of Trump voters had higher per capita cases, and in nonmetro areas, these counties had higher death rates. Overall, the best predictor of COVID-19 death rates is low levels of educational attainment, high poverty rates, and high minority populations. Twit Text FOAVip COVID-19 in Rural America: Impacts of Politics and Disadvantage ????Rural Sociol http://www.kidney.de/pget.php?&tw=1&pmid=34908598 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34908598 #FOAvip English Wikipedia <ref>{{Cite pmid|34908598}}</ref> COVID-19 in Rural America: Impacts of Politics and Disadvantage #MMPMID34908598 Albrecht DE Rural Sociol 2022[Mar]; 87 (1): 94-118 PMID34908598show ga Early in the COVID-19 pandemic, people living in cities were much more likely than rural residents to become infected with and die from the virus. Beginning in the summer of 2020, however, the proportional increase in virus spread became much greater in rural areas. By March 2021, per capita cases and deaths were greater in nonmetro than in metro areas. Multi-variate regression analysis found that political views were the most important variable explaining per capita COVID-19 cases, while measures of disadvantage were the best predictors of COVID-19 deaths. Counties with high proportions of Trump voters had higher per capita cases, and in nonmetro areas, these counties had higher death rates. Overall, the best predictor of COVID-19 death rates is low levels of educational attainment, high poverty rates, and high minority populations. äCOVID-19 in Rural America: Impacts of Politics and Disadvantage (epmc).pdf DeepDyve Pubget Overpricing