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重新构建低收入国家传染病管理的最优控制问题。

Reframing Optimal Control Problems for Infectious Disease Management in Low-Income Countries.

机构信息

Department of Mathematics, University of Tennessee, Knoxville, TN, USA.

Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy.

出版信息

Bull Math Biol. 2023 Mar 12;85(4):31. doi: 10.1007/s11538-023-01137-4.

Abstract

Optimal control theory can be a useful tool to identify the best strategies for the management of infectious diseases. In most of the applications to disease control with ordinary differential equations, the objective functional to be optimized is formulated in monetary terms as the sum of intervention costs and the cost associated with the burden of disease. We present alternate formulations that express epidemiological outcomes via health metrics and reframe the problem to include features such as budget constraints and epidemiological targets. These alternate formulations are illustrated with a compartmental cholera model. The alternate formulations permit us to better explore the sensitivity of the optimal control solutions to changes in available budget or the desired epidemiological target. We also discuss some limitations of comprehensive cost assessment in epidemiology.

摘要

最优控制理论可以作为识别传染病管理最佳策略的有用工具。在使用常微分方程进行疾病控制的大多数应用中,要优化的目标函数都是以货币形式表示的,包括干预成本和疾病负担相关成本。我们提出了其他的表述方法,通过健康指标来表达流行病学结果,并重新构建问题,纳入预算限制和流行病学目标等特征。我们用一个霍乱 compartmental 模型来说明这些替代公式。这些替代公式使我们能够更好地探究最优控制解决方案对可用预算或期望流行病学目标变化的敏感性。我们还讨论了在流行病学中全面成本评估的一些局限性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f244/10008780/78f502eb4562/11538_2023_1137_Fig1_HTML.jpg

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