Resource allocation for control of infectious diseases in multiple independent populations: beyond cost-effectiveness analysis

被引:97
作者
Brandeau, ML
Zaric, GS
Richter, A
机构
[1] Stanford Univ, Dept Management Sci & Engn, Stanford, CA 94305 USA
[2] Univ Western Ontario, London, ON, Canada
[3] Res Triangle Inst, Res Triangle Pk, NC 27709 USA
关键词
optimization; dynamic analysis; resource allocation; epidemics; health;
D O I
10.1016/S0167-6296(03)00043-2
中图分类号
F [经济];
学科分类号
02 ;
摘要
Traditional cost-effectiveness analysis (CEA) assumes that program costs and benefits scale linearly with investment-an unrealistic assumption for epidemic control programs. This paper combines epidemic modeling with optimization techniques to determine the optimal allocation of a limited resource for epidemic control among multiple noninteracting populations. We show that the optimal resource allocation depends on many factors including the size of each population, the state of the epidemic in each population before resources are allocated (e.g. infection prevalence and incidence), the length of the time horizon, and prevention program characteristics. We establish conditions that characterize the optimal solution in certain cases. (C) 2003 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:575 / 598
页数:24
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