Optimization Modeling for Pandemic Vaccine Supply Chain Management: A Review and Future Research Opportunities [0.03%]
传染病疫苗供应链管理的优化模型研究与未来机遇展望
Shibshankar Dey,Ali Kaan Kurbanzade,Esma S Gel et al.
Shibshankar Dey et al.
During various stages of the COVID-19 pandemic, countries implemented diverse vaccine management approaches, influenced by variations in infrastructure and socio-economic conditions. This article provides a comprehensive overview of optimiz...
Dimitris Bertsimas,Vassilis Digalakis Jr,Alexander Jacquillat et al.
Dimitris Bertsimas et al.
The outbreak of COVID-19 led to a record-breaking race to develop a vaccine. However, the limited vaccine capacity creates another massive challenge: how to distribute vaccines to mitigate the near-end impact of the pandemic? In the United ...
Screening multi-dimensional heterogeneous populations for infectious diseases under scarce testing resources, with application to COVID-19 [0.03%]
稀缺检测资源下传染病检测的多维度异质人群筛选策略及在新冠肺炎疫情中之应用
Hussein El Hajj,Douglas R Bish,Ebru K Bish et al.
Hussein El Hajj et al.
Testing provides essential information for managing infectious disease outbreaks, such as the COVID-19 pandemic. When testing resources are scarce, an important managerial decision is who to test. This decision is compounded by the fact tha...
A model of supply-chain decisions for resource sharing with an application to ventilator allocation to combat COVID-19 [0.03%]
用于资源共享的供应链决策模型及其在COVID-19疫情期间分配呼吸机的应用
Sanjay Mehrotra,Hamed Rahimian,Masoud Barah et al.
Sanjay Mehrotra et al.
We present a stochastic optimization model for allocating and sharing a critical resource in the case of a pandemic. The demand for different entities peaks at different times, and an initial inventory for a central agency are to be allocat...
Mitigating the COVID-19 Pandemic through Data-Driven Resource Sharing [0.03%]
通过数据驱动的资源共享来缓解COVID-19疫情
Esmaeil Keyvanshokooh,Mohammad Fattahi,Kenneth A Freedberg et al.
Esmaeil Keyvanshokooh et al.
COVID-19 outbreaks in local communities can result in a drastic surge in demand for scarce resources such as mechanical ventilators. To deal with such demand surges, many hospitals (1) purchased large quantities of mechanical ventilators, a...
Predicting older-donor kidneys' post-transplant renal function using pre-transplant data [0.03%]
基于移植前数据预测老年供者肾脏移植后的肾功能
Paola Martin,Diwakar Gupta,Timothy Pruett
Paola Martin
This paper provides a methodology for predicting post-transplant kidney function, that is, the 1-year post-transplant estimated Glomerular Filtration Rate (eGFR-1) for each donor-candidate pair. We apply customized machine-learning algorith...