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...

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Detalles Bibliográficos
Autores principales: Yin, Xuecheng, Büyüktahtakın, İ. Esra, Patel, Bhumi P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2023
Materias:
Article
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

Internet

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

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