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10.1016/j.amepre.2021.01.040 http://scihub22266oqcxt.onion/10.1016/j.amepre.2021.01.040 33947527!7988444!33947527     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 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Am+J+Prev+Med 2021 ; 61 (1): 13-19 Nephropedia Template TP {{tp|p=33947527|t=2021. County-Level Socioeconomic and Political Predictors of Distancing for COVID-19 |pdf=|usr=}}{{33947527}} gab.com Text County-Level Socioeconomic and Political Predictors of Distancing for COVID-19 JO: Am J Prev Med http://www.kidney.de/pget.php?&tw=1&pmid=33947527 #FOAvip INTRODUCTION: In response to the COVID-19 pandemic, governments have implemented social distancing measures to slow viral transmission. This work aims to determine the extent to which socioeconomic and political conditions have shaped community-level distancing behaviors during the COVID-19 pandemic, especially how these dynamics have evolved over time. METHODS: This study used daily data on physical distancing from 15?17 million cell phone users in 3,037 U.S. counties. County-level changes in the average distance traveled per person were estimated relative to prepandemic weeks as a proxy for physical distancing. Pooled ordinary least squares regressions estimated the association between physical distancing and a variety of county-level demographic, socioeconomic, and political characteristics by week from March 9, 2020 to January 17, 2021. Data were collected until January 2021, at which point the analyses were finalized. RESULTS: Lower per capita income and greater Republican orientation were associated with significantly reduced physical distancing throughout nearly all the study period. These associations persisted after adjusting for a variety of county-level demographic and socioeconomic characteristics. Other county-level characteristics, such as the shares of Black and Hispanic residents, were associated with reduced distancing at various points during the study period. CONCLUSIONS: These results highlight the importance of dynamic socioeconomic and political gradients in preventive behavior and imply the need for nimble policy responses. Twit Text FOAVip County-Level Socioeconomic and Political Predictors of Distancing for COVID-19 ????Am J Prev Med http://www.kidney.de/pget.php?&tw=1&pmid=33947527 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33947527 #FOAvip English Wikipedia <ref>{{Cite pmid|33947527}}</ref> County-Level Socioeconomic and Political Predictors of Distancing for COVID-19 #MMPMID33947527 Kavanagh NM; Goel RR; Venkataramani AS Am J Prev Med 2021[Jul]; 61 (1): 13-19 PMID33947527show ga INTRODUCTION: In response to the COVID-19 pandemic, governments have implemented social distancing measures to slow viral transmission. This work aims to determine the extent to which socioeconomic and political conditions have shaped community-level distancing behaviors during the COVID-19 pandemic, especially how these dynamics have evolved over time. METHODS: This study used daily data on physical distancing from 15?17 million cell phone users in 3,037 U.S. counties. County-level changes in the average distance traveled per person were estimated relative to prepandemic weeks as a proxy for physical distancing. Pooled ordinary least squares regressions estimated the association between physical distancing and a variety of county-level demographic, socioeconomic, and political characteristics by week from March 9, 2020 to January 17, 2021. Data were collected until January 2021, at which point the analyses were finalized. RESULTS: Lower per capita income and greater Republican orientation were associated with significantly reduced physical distancing throughout nearly all the study period. These associations persisted after adjusting for a variety of county-level demographic and socioeconomic characteristics. Other county-level characteristics, such as the shares of Black and Hispanic residents, were associated with reduced distancing at various points during the study period. CONCLUSIONS: These results highlight the importance of dynamic socioeconomic and political gradients in preventive behavior and imply the need for nimble policy responses. |*COVID-19[MESH] |Humans[MESH] |Pandemics[MESH] |Physical Distancing[MESH] |SARS-CoV-2[MESH]County-Level Socioeconomic and Political Predictors of Distancing for (epmc).pdf DeepDyve Pubget Overpricing