美国2023-2024年流感季节疫苗接种控制的见解：数学建模、最优控制和敏感性分析

IF 2.2 4区数学 Q2 BIOLOGY

Bulletin of Mathematical Biology Pub Date : 2025-08-14 DOI:10.1007/s11538-025-01494-2

Ana-Maria Croicu

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引用次数: 0

摘要

本研究通过数学建模、采用最优控制的疫苗接种策略，以及关键模型参数对美国2023-2024年流感季节最优控制的影响，研究了流感传播动力学。使用来自CDC的FluView Interactive和FluVaxView数据库的数据，估计了关键参数，揭示了各州之间的显著差异。量身定制的疫苗接种战略旨在与各州的具体数据和条件保持一致，有效地减少了所有州的感染和繁殖数量。最优接种策略和繁殖数的敏感性分析揭示了模型参数之间复杂的相互作用。这些发现强调需要精心设计公共卫生战略，以有效管理流感，并得到本文提出的关键建议的支持。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Insights on Influenza Control Through Vaccination for the 2023-2024 Season in the USA: Mathematical Modeling, Optimal Control, and Sensitivity Analysis.

This study examines influenza transmission dynamics through mathematical modeling, vaccination strategies using optimal control, and the impact of key model parameters to the optimal control for the 2023-2024 influenza season in the United States. Using data from the CDC's FluView Interactive and FluVaxView databases, key parameters were estimated, revealing significant variability across states. Tailored vaccination strategies, designed to align with state-specific data and conditions, effectively reduced infections and reproduction numbers in all states. Sensitivity analysis of the optimal vaccination strategy and reproduction number revealed complex interactions among model parameters. These findings emphasize the need for carefully designed public health strategies to manage influenza effectively, supported by key recommendations presented in this paper.

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来源期刊

Bulletin of Mathematical Biology 生物-生物学

CiteScore

3.90

自引率

8.60%

发文量

123

审稿时长

7.5 months

期刊介绍： The Bulletin of Mathematical Biology, the official journal of the Society for Mathematical Biology, disseminates original research findings and other information relevant to the interface of biology and the mathematical sciences. Contributions should have relevance to both fields. In order to accommodate the broad scope of new developments, the journal accepts a variety of contributions, including: Original research articles focused on new biological insights gained with the help of tools from the mathematical sciences or new mathematical tools and methods with demonstrated applicability to biological investigations Research in mathematical biology education Reviews Commentaries Perspectives, and contributions that discuss issues important to the profession All contributions are peer-reviewed.