Resource allocation for control of infectious diseases in multiple independent populations: beyond cost-effectiveness analysis
Resource allocation for control of infectious diseases in multiple independent populations: beyond cost-effectiveness analysis
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DOI：
10.1016/s0167-6296(03)00043-2
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发表时间：
2003-07-01
影响因子：
3.5
通讯作者：
Richter, A
中科院分区：
文献类型：
--
作者：
Brandeau, ML;Zaric, GS;Richter, A
传统的成本效益分析(CEA)假设项目的成本和收益与投资成线性关系--这对于疫情控制项目来说是不现实的假设。本文将流行病建模与优化技术相结合，确定了有限资源在多个非交互种群间的最优分配问题。我们发现，最优资源分配取决于许多因素，包括每个人口的大小，每个人口在分配资源之前的流行病状态(例如，感染流行率和发病率)，时间范围的长度，以及预防方案的特点。我们建立了在某些情况下刻画最优解的条件。(C)2003 Elsevier Science B.V.保留所有权利。
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.