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10.1038/s41562-020-0909-7 http://scihub22266oqcxt.onion/10.1038/s41562-020-0909-7 32576982!ä!32576982 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       Nat+Hum+Behav 2020 ; 4 (7): 756-768 Nephropedia Template TP {{tp|p=32576982|t=2020. COVID-19 Government Response Event Dataset (CoronaNet v 1 0) |pdf=|usr=}}{{32576982}} gab.com Text COVID-19 Government Response Event Dataset (CoronaNet v 1 0) JO: Nat Hum Behav http://www.kidney.de/pget.php?&tw=1&pmid=32576982 #FOAvip Governments worldwide have implemented countless policies in response to the COVID-19 pandemic. We present an initial public release of a large hand-coded dataset of over 13,000 such policy announcements across more than 195 countries. The dataset is updated daily, with a 5-day lag for validity checking. We document policies across numerous dimensions, including the type of policy, national versus subnational enforcement, the specific human group and geographical region targeted by the policy, and the time frame within which each policy is implemented. We further analyse the dataset using a Bayesian measurement model, which shows the quick acceleration of the adoption of costly policies across countries beginning in mid-March 2020 through 24 May 2020. We believe that these data will be instrumental for helping policymakers and researchers assess, among other objectives, how effective different policies are in addressing the spread and health outcomes of COVID-19. Twit Text FOAVip COVID-19 Government Response Event Dataset (CoronaNet v 1 0) ????Nat Hum Behav http://www.kidney.de/pget.php?&tw=1&pmid=32576982 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32576982 #FOAvip English Wikipedia <ref>{{Cite pmid|32576982}}</ref> COVID-19 Government Response Event Dataset (CoronaNet v 1 0) #MMPMID32576982 Cheng C; Barcelo J; Hartnett AS; Kubinec R; Messerschmidt L Nat Hum Behav 2020[Jul]; 4 (7): 756-768 PMID32576982show ga Governments worldwide have implemented countless policies in response to the COVID-19 pandemic. We present an initial public release of a large hand-coded dataset of over 13,000 such policy announcements across more than 195 countries. The dataset is updated daily, with a 5-day lag for validity checking. We document policies across numerous dimensions, including the type of policy, national versus subnational enforcement, the specific human group and geographical region targeted by the policy, and the time frame within which each policy is implemented. We further analyse the dataset using a Bayesian measurement model, which shows the quick acceleration of the adoption of costly policies across countries beginning in mid-March 2020 through 24 May 2020. We believe that these data will be instrumental for helping policymakers and researchers assess, among other objectives, how effective different policies are in addressing the spread and health outcomes of COVID-19. |*Communicable Disease Control[MESH] |*Communication[MESH] |*Government[MESH] |*Public Policy[MESH] |Administrative Personnel[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |Coronavirus Infections/*epidemiology/prevention & control[MESH] |Datasets as Topic[MESH] |Education[MESH] |Humans[MESH] |Pandemics/prevention & control[MESH] |Pneumonia, Viral/*epidemiology/prevention & control[MESH] |Quarantine[MESH] |SARS-CoV-2[MESH]COVID-19 Government Response Event Dataset (CoronaNet v 1 0) (epmc).pdf DeepDyve Pubget Overpricing