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10.1016/j.annepidem.2020.06.011 http://scihub22266oqcxt.onion/10.1016/j.annepidem.2020.06.011 C7328545!7328545!32951804     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 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Ann+Epidemiol 2020 ; 49 (ä): 42-9 Nephropedia Template TP {{tp|p=32951804|t=2020. The association of voter turnout with county-level coronavirus disease 2019 occurrence early in the pandemic |pdf=|usr=}}{{32951804}} gab.com Text The association of voter turnout with county-level coronavirus disease 2019 occurrence early in the pandemic JO: Ann Epidemiol http://www.kidney.de/pget.php?&tw=1&pmid=32951804 #FOAvip Purpose: The ongoing coronavirus disease 2019 (COVID-19) severely impacted both health and the economy. Absent an effective vaccine, preventive measures used, some of which are being relaxed, have included school closures, restriction of movement, and banning of large gatherings. Our goal was to estimate the association of voter turnout with county-level COVID-19 risks. Methods: We used publicly available data on voter turnout in the March 10 primary in three states, COVID-19 confirmed cases by day and county, and county-level census data. We used zero-inflated negative binomial regression to estimate the association of voter turnout with COVID-19 incidence, adjusted for county-level population density and proportions: over age 65 years, female, Black, with college education, with high school education, poor, obese, and smokers. Results: COVID-19 risk was associated with voter turnout, most strongly in Michigan during the week starting 3 days postelection (risk ratio, 1.24; 95% confidence interval, 1.16?1.33). For longer periods, the association was progressively weaker (risk ratio 0.98?1.03). Conclusions: Despite increased absentee-ballot voting in the primary, our results suggest an association of voter turnout in at least one state with a detectable increase in risks associated with and perhaps due to greater exposures related to the primary. Twit Text FOAVip The association of voter turnout with county-level coronavirus disease 2019 occurrence early in the pandemic ????Ann Epidemiol http://www.kidney.de/pget.php?&tw=1&pmid=32951804 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32951804 #FOAvip English Wikipedia <ref>{{Cite pmid|32951804}}</ref> The association of voter turnout with county-level coronavirus disease 2019 occurrence early in the pandemic #MMPMID32951804 Flanders WD; Flanders WD; Goodman M Ann Epidemiol 2020[Sep]; 49 (ä): 42-9 PMID32951804show ga Purpose: The ongoing coronavirus disease 2019 (COVID-19) severely impacted both health and the economy. Absent an effective vaccine, preventive measures used, some of which are being relaxed, have included school closures, restriction of movement, and banning of large gatherings. Our goal was to estimate the association of voter turnout with county-level COVID-19 risks. Methods: We used publicly available data on voter turnout in the March 10 primary in three states, COVID-19 confirmed cases by day and county, and county-level census data. We used zero-inflated negative binomial regression to estimate the association of voter turnout with COVID-19 incidence, adjusted for county-level population density and proportions: over age 65 years, female, Black, with college education, with high school education, poor, obese, and smokers. Results: COVID-19 risk was associated with voter turnout, most strongly in Michigan during the week starting 3 days postelection (risk ratio, 1.24; 95% confidence interval, 1.16?1.33). For longer periods, the association was progressively weaker (risk ratio 0.98?1.03). Conclusions: Despite increased absentee-ballot voting in the primary, our results suggest an association of voter turnout in at least one state with a detectable increase in risks associated with and perhaps due to greater exposures related to the primary. äThe association of voter turnout with county-level coronavirus disease(epmc).pdf DeepDyve Pubget Overpricing