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COVID-19: Data-Driven optimal allocation of ventilator supply under uncertainty and risk
This study presents a new risk-averse multi-stage stochastic epidemics-ventilator-logistics compartmental model to address the resource allocation challenges of mitigating COVID-19. This epidemiological logistics model involves the uncertainty of untested asymptomatic infections and incorporates sho...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier B.V.
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8632406/ https://www.ncbi.nlm.nih.gov/pubmed/34866765 http://dx.doi.org/10.1016/j.ejor.2021.11.052 |