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10.1126/science.abd9338 http://scihub22266oqcxt.onion/10.1126/science.abd9338 33323424!7877495!33323424     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33323424&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 225.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 225.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 225.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Science 2021 ; 371 (6531): ä Nephropedia Template TP {{tp|p=33323424|t=2021. Inferring the effectiveness of government interventions against COVID-19 |pdf=|usr=}}{{33323424}} gab.com Text Inferring the effectiveness of government interventions against COVID-19 JO: Science http://www.kidney.de/pget.php?&tw=1&pmid=33323424 #FOAvip Governments are attempting to control the COVID-19 pandemic with nonpharmaceutical interventions (NPIs). However, the effectiveness of different NPIs at reducing transmission is poorly understood. We gathered chronological data on the implementation of NPIs for several European and non-European countries between January and the end of May 2020. We estimated the effectiveness of these NPIs, which range from limiting gathering sizes and closing businesses or educational institutions to stay-at-home orders. To do so, we used a Bayesian hierarchical model that links NPI implementation dates to national case and death counts and supported the results with extensive empirical validation. Closing all educational institutions, limiting gatherings to 10 people or less, and closing face-to-face businesses each reduced transmission considerably. The additional effect of stay-at-home orders was comparatively small. Twit Text FOAVip Inferring the effectiveness of government interventions against COVID-19 ????Science http://www.kidney.de/pget.php?&tw=1&pmid=33323424 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33323424 #FOAvip English Wikipedia <ref>{{Cite pmid|33323424}}</ref> Inferring the effectiveness of government interventions against COVID-19 #MMPMID33323424 Brauner JM; Mindermann S; Sharma M; Johnston D; Salvatier J; Gavenciak T; Stephenson AB; Leech G; Altman G; Mikulik V; Norman AJ; Monrad JT; Besiroglu T; Ge H; Hartwick MA; Teh YW; Chindelevitch L; Gal Y; Kulveit J Science 2021[Feb]; 371 (6531): ä PMID33323424show ga Governments are attempting to control the COVID-19 pandemic with nonpharmaceutical interventions (NPIs). However, the effectiveness of different NPIs at reducing transmission is poorly understood. We gathered chronological data on the implementation of NPIs for several European and non-European countries between January and the end of May 2020. We estimated the effectiveness of these NPIs, which range from limiting gathering sizes and closing businesses or educational institutions to stay-at-home orders. To do so, we used a Bayesian hierarchical model that links NPI implementation dates to national case and death counts and supported the results with extensive empirical validation. Closing all educational institutions, limiting gatherings to 10 people or less, and closing face-to-face businesses each reduced transmission considerably. The additional effect of stay-at-home orders was comparatively small. |*Communicable Disease Control[MESH] |*Government[MESH] |Asia/epidemiology[MESH] |Bayes Theorem[MESH] |COVID-19/*prevention & control/transmission[MESH] |Commerce[MESH] |Europe/epidemiology[MESH] |Health Policy[MESH] |Humans[MESH] |Models, Theoretical[MESH] |Pandemics/prevention & control[MESH] |Physical Distancing[MESH] |Schools[MESH]Inferring the effectiveness of government interventions against COVID-(epmc).pdf DeepDyve Pubget Overpricing