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10.1007/s10754-021-09302-9 http://scihub22266oqcxt.onion/10.1007/s10754-021-09302-9 33792808!8012742!33792808     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 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Int+J+Health+Econ+Manag 2021 ; 21 (4): 387-426 Nephropedia Template TP {{tp|p=33792808|t=2021. The impact of the non-essential business closure policy on Covid-19 infection rates |pdf=|usr=}}{{33792808}} gab.com Text The impact of the non-essential business closure policy on Covid-19 infection rates JO: Int J Health Econ Manag http://www.kidney.de/pget.php?&tw=1&pmid=33792808 #FOAvip In response to the Covid-19 pandemic, many localities instituted non-essential business closure orders, keeping individuals categorized as essential workers at the frontlines while sending their non-essential counterparts home. We examine the extent to which being designated as an essential or non-essential worker impacts one's risk of being Covid-positive following the non-essential business closure order in Pennsylvania. We also assess the intrahousehold transmission risk experienced by their cohabiting family members and roommates. Using a difference-in-differences framework, we estimate that workers designated as essential have a 55% higher likelihood of being positive for Covid-19 than those classified as non-essential; in other words, non-essential workers experience a protective effect. While members of the health care and social assistance subsector contribute significantly to this overall effect, it is not completely driven by them. We also find evidence of intrahousehold transmission that differs in intensity by essential status. Dependents cohabiting with an essential worker have a 17% higher likelihood of being Covid-positive compared to those cohabiting with a non-essential worker. Roommates cohabiting with an essential worker experience a 38% increase in likelihood of being Covid-positive. Analysis of households with a Covid-positive member suggests that intrahousehold transmission is an important mechanism driving these effects. Twit Text FOAVip The impact of the non-essential business closure policy on Covid-19 infection rates ????Int J Health Econ Manag http://www.kidney.de/pget.php?&tw=1&pmid=33792808 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33792808 #FOAvip English Wikipedia <ref>{{Cite pmid|33792808}}</ref> The impact of the non-essential business closure policy on Covid-19 infection rates #MMPMID33792808 Song H; McKenna R; Chen AT; David G; Smith-McLallen A Int J Health Econ Manag 2021[Dec]; 21 (4): 387-426 PMID33792808show ga In response to the Covid-19 pandemic, many localities instituted non-essential business closure orders, keeping individuals categorized as essential workers at the frontlines while sending their non-essential counterparts home. We examine the extent to which being designated as an essential or non-essential worker impacts one's risk of being Covid-positive following the non-essential business closure order in Pennsylvania. We also assess the intrahousehold transmission risk experienced by their cohabiting family members and roommates. Using a difference-in-differences framework, we estimate that workers designated as essential have a 55% higher likelihood of being positive for Covid-19 than those classified as non-essential; in other words, non-essential workers experience a protective effect. While members of the health care and social assistance subsector contribute significantly to this overall effect, it is not completely driven by them. We also find evidence of intrahousehold transmission that differs in intensity by essential status. Dependents cohabiting with an essential worker have a 17% higher likelihood of being Covid-positive compared to those cohabiting with a non-essential worker. Roommates cohabiting with an essential worker experience a 38% increase in likelihood of being Covid-positive. Analysis of households with a Covid-positive member suggests that intrahousehold transmission is an important mechanism driving these effects. |*COVID-19[MESH] |*Pandemics[MESH] |Commerce[MESH] |Humans[MESH] |Policy[MESH]The impact of the non-essential business closure policy on Covid-19 in(epmc).pdf DeepDyve Pubget Overpricing