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10.1097/SIH.0000000000000565

http://scihub22266oqcxt.onion/10.1097/SIH.0000000000000565
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33600140!ä!33600140

suck abstract from ncbi


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pmid33600140      Simul+Healthc 2021 ; 16 (2): 151-152
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  • A Discrete Event Simulation-Based Model to Optimally Design and Dimension Mobile COVID-19 Saliva-Based Testing Stations #MMPMID33600140
  • Saidani M; Kim H
  • Simul Healthc 2021[Apr]; 16 (2): 151-152 PMID33600140show ga
  • The present COVID-19 brief report addresses: (1) the problem of optimal design and resource allocation to mobile testing stations to ensure rapid results to the persons getting tested; (2) the proposed solution through a newly developed discrete event simulation model, experienced in on-campus saliva-based testing stations at the University of Illinois at Urbana-Champaign; and (3) the lessons learned on how 10,000 samples (from noninvasive polymerase chain reaction COVID-19 tests) can be processed per day on campus, as well as how the model could be reused or adapted to other contexts by site managers and decision makers.
  • |*Models, Statistical[MESH]
  • |COVID-19 Testing[MESH]
  • |COVID-19/*diagnosis[MESH]
  • |Health Care Rationing[MESH]
  • |Humans[MESH]
  • |SARS-CoV-2[MESH]


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