Stochastic optimization for vaccine and testing kit allocation for the COVID-19 pandemic [0.03%]
用于分配疫苗和测试套件以应对COVID-19大流行的随机优化方法
Lawrence Thul,Warren Powell
Lawrence Thul
We present a formal mathematical modeling framework for a multi-agent sequential decision problem during an epidemic. The problem is formulated as a collaboration between a vaccination agent and learning agent to allocate stockpiles of vacc...
Capacity planning for effective cohorting of hemodialysis patients during the coronavirus pandemic: A case study [0.03%]
新冠疫情期间有效划分血液透析患者的能力规划：一个案例研究
Cem D C Bozkir,Cagri Ozmemis,Ali Kaan Kurbanzade et al.
Cem D C Bozkir et al.
Planning treatments of different types of patients have become challenging in hemodialysis clinics during the COVID-19 pandemic due to increased demands and uncertainties. In this study, we address capacity planning decisions of a hemodialy...
A review of applications of operational research in healthcare coordination in disaster management [0.03%]
操作研究在灾害管理中协调医疗服务的应用综述
Danuphon Tippong,Sanja Petrovic,Vahid Akbari
Danuphon Tippong
Many disasters that have happened in the last decades, including the latest COVID-19 pandemic, have caused a shortage of healthcare resources and change in healthcare operations. Given these impacts, the Operational Research (OR) community ...
A Large Neighbourhood Search Metaheuristic for the Contagious Disease Testing Problem [0.03%]
传染病检测问题的大邻域搜索元启发式算法
David Wolfinger,Margaretha Gansterer,Karl F Doerner et al.
David Wolfinger et al.
In late 2019 a new coronavirus disease (COVID-19) emerged, causing a global pandemic within only a few weeks. A crucial factor in the public health response to pandemics is achieving a short turnaround time between a potential case becoming...
Assessment of the influence of features on a classification problem: An application to COVID-19 patients [0.03%]
评估特征对分类问题的影响：COVID-19患者的实例应用
Laura Davila-Pena,Ignacio García-Jurado,Balbina Casas-Méndez
Laura Davila-Pena
This paper deals with an important subject in classification problems addressed by machine learning techniques: the evaluation of the influence of each of the features on the classification of individuals. Specifically, a measure of that in...
Joseph T Chang,Edward H Kaplan
Joseph T Chang
This article presents an overview of methods developed for the modeling and control of local coronavirus outbreaks. The article reviews early transmission dynamics featuring exponential growth in infections, and links this to a renewal epid...
Martina Fischetti,Matteo Fischetti,Jakob Stoustrup
Martina Fischetti
The spread of viruses such as SARS-CoV-2 brought new challenges to our society, including a stronger focus on safety across all businesses. Many countries have imposed a minimum social distance among people in order to ensure their safety. ...
Combining probabilistic forecasts of COVID-19 mortality in the United States [0.03%]
结合美国COVID-19死亡概率预测
James W Taylor,Kathryn S Taylor
James W Taylor
The COVID-19 pandemic has placed forecasting models at the forefront of health policy making. Predictions of mortality, cases and hospitalisations help governments meet planning and resource allocation challenges. In this paper, we consider...
Strategies for ensuring required service level for COVID-19 herd immunity in Indian vaccine supply chain [0.03%]
确保印度新冠疫苗供应链中实现群体免疫所需的性能水平的战略措施的研究与分析
Priyank Sinha,Sameer Kumar,Charu Chandra
Priyank Sinha
Post COVID-19 vaccine development, nations are now getting ready to face another challenge: how to effectively distribute vaccines amongst the masses to quickly achieve herd immunity against the infection. According to some experts, herd im...
Supply chain game theory network modeling under labor constraints: Applications to the Covid-19 pandemic [0.03%]
劳动约束下的供应链博弈论网络模型及其在新冠肺炎疫情中的应用
Anna Nagurney
Anna Nagurney
The Covid-19 pandemic has brought attention to supply chain networks due to disruptions for many reasons, including that of labor shortages as a consequences of illnesses, death, risk mitigation, as well as travel restrictions. Many sectors...