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10.1038/s41597-021-00878-y http://scihub22266oqcxt.onion/10.1038/s41597-021-00878-y 33767205!7994304!33767205     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Sci+Data 2021 ; 8 (1): 94 Nephropedia Template TP {{tp|p=33767205|t=2021. AI-assisted tracking of worldwide non-pharmaceutical interventions for COVID-19 |pdf=|usr=}}{{33767205}} gab.com Text AI-assisted tracking of worldwide non-pharmaceutical interventions for COVID-19 JO: Sci Data http://www.kidney.de/pget.php?&tw=1&pmid=33767205 #FOAvip The Coronavirus disease 2019 (COVID-19) global pandemic has transformed almost every facet of human society throughout the world. Against an emerging, highly transmissible disease, governments worldwide have implemented non-pharmaceutical interventions (NPIs) to slow the spread of the virus. Examples of such interventions include community actions, such as school closures or restrictions on mass gatherings, individual actions including mask wearing and self-quarantine, and environmental actions such as cleaning public facilities. We present the Worldwide Non-pharmaceutical Interventions Tracker for COVID-19 (WNTRAC), a comprehensive dataset consisting of over 6,000 NPIs implemented worldwide since the start of the pandemic. WNTRAC covers NPIs implemented across 261 countries and territories, and classifies NPIs into a taxonomy of 16 NPI types. NPIs are automatically extracted daily from Wikipedia articles using natural language processing techniques and then manually validated to ensure accuracy and veracity. We hope that the dataset will prove valuable for policymakers, public health leaders, and researchers in modeling and analysis efforts to control the spread of COVID-19. Twit Text FOAVip AI-assisted tracking of worldwide non-pharmaceutical interventions for COVID-19 ????Sci Data http://www.kidney.de/pget.php?&tw=1&pmid=33767205 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33767205 #FOAvip English Wikipedia <ref>{{Cite pmid|33767205}}</ref> AI-assisted tracking of worldwide non-pharmaceutical interventions for COVID-19 #MMPMID33767205 Suryanarayanan P; Tsou CH; Poddar A; Mahajan D; Dandala B; Madan P; Agrawal A; Wachira C; Samuel OM; Bar-Shira O; Kipchirchir C; Okwako S; Ogallo W; Otieno F; Nyota T; Matu F; Barros VR; Shats D; Kagan O; Remy S; Bent O; Guhan P; Mahatma S; Walcott-Bryant A; Pathak D; Rosen-Zvi M Sci Data 2021[Mar]; 8 (1): 94 PMID33767205show ga The Coronavirus disease 2019 (COVID-19) global pandemic has transformed almost every facet of human society throughout the world. Against an emerging, highly transmissible disease, governments worldwide have implemented non-pharmaceutical interventions (NPIs) to slow the spread of the virus. Examples of such interventions include community actions, such as school closures or restrictions on mass gatherings, individual actions including mask wearing and self-quarantine, and environmental actions such as cleaning public facilities. We present the Worldwide Non-pharmaceutical Interventions Tracker for COVID-19 (WNTRAC), a comprehensive dataset consisting of over 6,000 NPIs implemented worldwide since the start of the pandemic. WNTRAC covers NPIs implemented across 261 countries and territories, and classifies NPIs into a taxonomy of 16 NPI types. NPIs are automatically extracted daily from Wikipedia articles using natural language processing techniques and then manually validated to ensure accuracy and veracity. We hope that the dataset will prove valuable for policymakers, public health leaders, and researchers in modeling and analysis efforts to control the spread of COVID-19. |*Artificial Intelligence[MESH] |COVID-19/*prevention & control/*therapy[MESH] |Communicable Disease Control/*trends[MESH] |Global Health[MESH]AI-assisted tracking of worldwide non-pharmaceutical interventions for(epmc).pdf DeepDyve Pubget Overpricing