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Locally Informed Simulation to Predict Hospital Capacity Needs During the COVID-19 Pandemic

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic challenges hospital leaders to make time-sensitive, critical decisions about clinical operations and resource allocations. OBJECTIVE: To estimate the timing of surges in clinical demand and the best- and worst-case scenarios of local COVID...

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Detalhes bibliográficos
Publicado no:Ann Intern Med
Main Authors: Weissman, Gary E., Crane-Droesch, Andrew, Chivers, Corey, Luong, ThaiBinh, Hanish, Asaf, Levy, Michael Z., Lubken, Jason, Becker, Michael, Draugelis, Michael E., Anesi, George L., Brennan, Patrick J., Christie, Jason D., Hanson III, C. William, Mikkelsen, Mark E., Halpern, Scott D.
Formato: Artigo
Idioma:Inglês
Publicado em: American College of Physicians 2020
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Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7153364/
https://ncbi.nlm.nih.gov/pubmed/32259197
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7326/M20-1260
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