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10.1016/j.jamda.2020.10.023 http://scihub22266oqcxt.onion/10.1016/j.jamda.2020.10.023 33256960!7580675!33256960     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33256960&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       J+Am+Med+Dir+Assoc 2020 ; 21 (12): 1811-1814 Nephropedia Template TP {{tp|p=33256960|t=2020. Implementation of an Algorithm of Cohort Classification to Prevent the Spread of COVID-19 in Nursing Homes |pdf=|usr=}}{{33256960}} gab.com Text Implementation of an Algorithm of Cohort Classification to Prevent the Spread of COVID-19 in Nursing Homes JO: J Am Med Dir Assoc http://www.kidney.de/pget.php?&tw=1&pmid=33256960 #FOAvip Older adults living in nursing homes are the most vulnerable group of the COVID-19 pandemic. There are many difficulties in isolating residents and limiting the spread in this setting. We have developed a simple algorithm with a traffic light format for resident classification and sectorization within nursing homes, based on basic diagnostic tests, surveillance of symptoms onset, and close contact monitoring. We have implemented the algorithm in several centers with good data on adherence. Suggestions for implementation and evaluation are discussed. Twit Text FOAVip Implementation of an Algorithm of Cohort Classification to Prevent the Spread of COVID-19 in Nursing Homes ????J Am Med Dir Assoc http://www.kidney.de/pget.php?&tw=1&pmid=33256960 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33256960 #FOAvip English Wikipedia <ref>{{Cite pmid|33256960}}</ref> Implementation of an Algorithm of Cohort Classification to Prevent the Spread of COVID-19 in Nursing Homes #MMPMID33256960 Gonzalez de Villaumbrosia C; Martinez Peromingo J; Ortiz Imedio J; Alvarez de Espejo Montiel T; Garcia-Puente Suarez L; Navas Clemente I; Morales Cubo S; Cotano Abad LE; Suarez Sanchez Y; Torras Cortada S; Onoro Algar C; Palicio Martinez C; Plaza Nohales C; Barba Martin R J Am Med Dir Assoc 2020[Dec]; 21 (12): 1811-1814 PMID33256960show ga Older adults living in nursing homes are the most vulnerable group of the COVID-19 pandemic. There are many difficulties in isolating residents and limiting the spread in this setting. We have developed a simple algorithm with a traffic light format for resident classification and sectorization within nursing homes, based on basic diagnostic tests, surveillance of symptoms onset, and close contact monitoring. We have implemented the algorithm in several centers with good data on adherence. Suggestions for implementation and evaluation are discussed. |*Algorithms[MESH] |*Nursing Homes[MESH] |COVID-19/*prevention & control[MESH] |Humans[MESH] |Patient Isolation/organization & administration[MESH]Implementation of an Algorithm of Cohort Classification to Prevent the(epmc).pdf DeepDyve Pubget Overpricing