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10.1093/aje/kwaa293 http://scihub22266oqcxt.onion/10.1093/aje/kwaa293 33406533!7929448!33406533     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 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+Epidemiol 2021 ; 190 (8): 1504-1509 Nephropedia Template TP {{tp|p=33406533|t=2021. Estimating the Effect of Social Distancing Interventions on COVID-19 in the United States |pdf=|usr=}}{{33406533}} gab.com Text Estimating the Effect of Social Distancing Interventions on COVID-19 in the United States JO: Am J Epidemiol http://www.kidney.de/pget.php?&tw=1&pmid=33406533 #FOAvip Since its global emergence in 2020, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused multiple epidemics in the United States. When medical treatments for the virus were still emerging and a vaccine was not yet available, state and local governments sought to limit its spread by enacting various social-distancing interventions, such as school closures and lockdowns; however, the effectiveness of these interventions was unknown. We applied an established, semimechanistic Bayesian hierarchical model of these interventions to the spread of SARS-CoV-2 from Europe to the United States, using case fatalities from February 29, 2020, up to April 25, 2020, when some states began reversing their interventions. We estimated the effects of interventions across all states, contrasted the estimated reproduction numbers before and after lockdown for each state, and contrasted the predicted number of future fatalities with the actual number of fatalities as a check of the model's validity. Overall, school closures and lockdowns were the only interventions modeled that had a reliable impact on the time-varying reproduction number, and lockdown appears to have played a key role in reducing that number to below 1.0. We conclude that reversal of lockdown without implementation of additional, equally effective interventions will enable continued, sustained transmission of SARS-CoV-2 in the United States. Twit Text FOAVip Estimating the Effect of Social Distancing Interventions on COVID-19 in the United States ????Am J Epidemiol http://www.kidney.de/pget.php?&tw=1&pmid=33406533 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33406533 #FOAvip English Wikipedia <ref>{{Cite pmid|33406533}}</ref> Estimating the Effect of Social Distancing Interventions on COVID-19 in the United States #MMPMID33406533 Olney AM; Smith J; Sen S; Thomas F; Unwin HJT Am J Epidemiol 2021[Aug]; 190 (8): 1504-1509 PMID33406533show ga Since its global emergence in 2020, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused multiple epidemics in the United States. When medical treatments for the virus were still emerging and a vaccine was not yet available, state and local governments sought to limit its spread by enacting various social-distancing interventions, such as school closures and lockdowns; however, the effectiveness of these interventions was unknown. We applied an established, semimechanistic Bayesian hierarchical model of these interventions to the spread of SARS-CoV-2 from Europe to the United States, using case fatalities from February 29, 2020, up to April 25, 2020, when some states began reversing their interventions. We estimated the effects of interventions across all states, contrasted the estimated reproduction numbers before and after lockdown for each state, and contrasted the predicted number of future fatalities with the actual number of fatalities as a check of the model's validity. Overall, school closures and lockdowns were the only interventions modeled that had a reliable impact on the time-varying reproduction number, and lockdown appears to have played a key role in reducing that number to below 1.0. We conclude that reversal of lockdown without implementation of additional, equally effective interventions will enable continued, sustained transmission of SARS-CoV-2 in the United States. |*Basic Reproduction Number[MESH] |Bayes Theorem[MESH] |COVID-19/*epidemiology/*prevention & control[MESH] |Communicable Disease Control/methods/*statistics & numerical data[MESH] |Europe/epidemiology[MESH] |Humans[MESH] |Physical Distancing[MESH] |Quarantine/*statistics & numerical data[MESH] |SARS-CoV-2[MESH]Estimating the Effect of Social Distancing Interventions on COVID-19 i(epmc).pdf DeepDyve Pubget Overpricing