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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...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | Ann Intern Med |
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| Κύριοι συγγραφείς: | , , , , , , , , , , , , , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
American College of Physicians
2020
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| Θέματα: | |
| Διαθέσιμο Online: | 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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