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10.1371/journal.pone.0245008 http://scihub22266oqcxt.onion/10.1371/journal.pone.0245008 33382849!7775080!33382849     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       PLoS+One 2020 ; 15 (12): e0245008 Nephropedia Template TP {{tp|p=33382849|t=2020. Effectiveness of COVID-19 shelter-in-place orders varied by state |pdf=|usr=}}{{33382849}} gab.com Text Effectiveness of COVID-19 shelter-in-place orders varied by state JO: PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=33382849 #FOAvip State "shelter-in-place" (SIP) orders limited the spread of COVID-19 in the U.S. However, impacts may have varied by state, creating opportunities to learn from states where SIPs have been effective. Using a novel dataset of state-level SIP order enactment and county-level mobility data form Google, we use a stratified regression discontinuity study design to examine the effect of SIPs in all states that implemented them. We find that SIP orders reduced mobility nationally by 12 percentage points (95% CI: -13.1 to -10.9), however the effects varied substantially across states, from -35 percentage points to +11 percentage points. Larger reductions were observed in states with higher incomes, higher population density, lower Black resident share, and lower 2016 vote shares for Donald J. Trump. This suggests that optimal public policies during a pandemic will vary by state and there is unlikely to be a "one-size fits all" approach that works best. Twit Text FOAVip Effectiveness of COVID-19 shelter-in-place orders varied by state ????PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=33382849 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33382849 #FOAvip English Wikipedia <ref>{{Cite pmid|33382849}}</ref> Effectiveness of COVID-19 shelter-in-place orders varied by state #MMPMID33382849 Feyman Y; Bor J; Raifman J; Griffith KN PLoS One 2020[]; 15 (12): e0245008 PMID33382849show ga State "shelter-in-place" (SIP) orders limited the spread of COVID-19 in the U.S. However, impacts may have varied by state, creating opportunities to learn from states where SIPs have been effective. Using a novel dataset of state-level SIP order enactment and county-level mobility data form Google, we use a stratified regression discontinuity study design to examine the effect of SIPs in all states that implemented them. We find that SIP orders reduced mobility nationally by 12 percentage points (95% CI: -13.1 to -10.9), however the effects varied substantially across states, from -35 percentage points to +11 percentage points. Larger reductions were observed in states with higher incomes, higher population density, lower Black resident share, and lower 2016 vote shares for Donald J. Trump. This suggests that optimal public policies during a pandemic will vary by state and there is unlikely to be a "one-size fits all" approach that works best. |*COVID-19/epidemiology/prevention & control[MESH] |*Emergency Shelter[MESH] |*Pandemics[MESH] |*SARS-CoV-2[MESH] |Cross-Sectional Studies[MESH] |Retrospective Studies[MESH]Effectiveness of COVID-19 shelter-in-place orders varied by state (epmc).pdf DeepDyve Pubget Overpricing