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10.1016/j.jebo.2020.12.019 http://scihub22266oqcxt.onion/10.1016/j.jebo.2020.12.019 33362321!7756168!33362321     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       J+Econ+Behav+Organ 2021 ; 182 (ä): 311-330 Nephropedia Template TP {{tp|p=33362321|t=2021. Coronavirus infections and deaths by poverty status: The effects of social distancing |pdf=|usr=}}{{33362321}} gab.com Text Coronavirus infections and deaths by poverty status: The effects of social distancing JO: J Econ Behav Organ http://www.kidney.de/pget.php?&tw=1&pmid=33362321 #FOAvip We study the spread of COVID-19 infections and deaths by county poverty level in the US. In the beginning of the pandemic, counties with either very low poverty levels or very high poverty levels reported the highest numbers of cases. A U-shaped relationship prevails for counties with high population density while among counties with low population density, only poorer counties report high incidence rates of COVID-19. Second, we discuss the pattern of infections spreading from higher to lower income counties. Third, we show that stay-at-home mandates caused significantly higher reductions in mobility in high income counties that experienced adverse weather shocks than counties that did not. These effects are not present in counties with high poverty rates. Using weather shocks in combination with stay-at-home mandates as an instrument for social distancing, we find that measures taken to promote social distancing helped curb infections in high income counties but not in low income counties. These results have important policy implications for containing the spread of infectious diseases in the future. Twit Text FOAVip Coronavirus infections and deaths by poverty status: The effects of social distancing ????J Econ Behav Organ http://www.kidney.de/pget.php?&tw=1&pmid=33362321 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33362321 #FOAvip English Wikipedia <ref>{{Cite pmid|33362321}}</ref> Coronavirus infections and deaths by poverty status: The effects of social distancing #MMPMID33362321 Jung J; Manley J; Shrestha V J Econ Behav Organ 2021[Feb]; 182 (ä): 311-330 PMID33362321show ga We study the spread of COVID-19 infections and deaths by county poverty level in the US. In the beginning of the pandemic, counties with either very low poverty levels or very high poverty levels reported the highest numbers of cases. A U-shaped relationship prevails for counties with high population density while among counties with low population density, only poorer counties report high incidence rates of COVID-19. Second, we discuss the pattern of infections spreading from higher to lower income counties. Third, we show that stay-at-home mandates caused significantly higher reductions in mobility in high income counties that experienced adverse weather shocks than counties that did not. These effects are not present in counties with high poverty rates. Using weather shocks in combination with stay-at-home mandates as an instrument for social distancing, we find that measures taken to promote social distancing helped curb infections in high income counties but not in low income counties. These results have important policy implications for containing the spread of infectious diseases in the future. äCoronavirus infections and deaths by poverty status: The effects of so(epmc).pdf DeepDyve Pubget Overpricing