Resource allocation for demand surge mitigation during disaster response

被引:95
作者
Arora, Nina [2 ]
Raghu, T. S. [1 ]
Vinze, Ajay [1 ]
机构
[1] Arizona State Univ, WP Carey Sch Business, Tempe, AZ 85287 USA
[2] Microsoft Corp, Redmond, WA 98052 USA
关键词
Pandemic flu; Decision support; Resource allocation; Optimization; COST-EFFECTIVENESS ANALYSIS; INFECTIOUS-DISEASES; SYSTEMS; POSTPONEMENT; VACCINATION; MANAGEMENT; INVENTORY; INFLUENZA;
D O I
10.1016/j.dss.2010.08.032
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Large-scale public health emergencies can result in an overwhelming demand for healthcare resources. Regional aid in the form of central stockpiles and resource redistribution can help mitigate the resulting demand surge. This paper discusses a resource allocation approach for optimizing regional aid during public health emergencies. We find that, optimal response involves delaying the distribution of resources from the central stockpile as much as possible. Also, smaller counties stand to benefit the most from mutual aid. And finally, policy level decisions that alter the objectives of pandemic relief efforts can significantly impact the allocations to affected regions. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:304 / 315
页数:12
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