tetano
Editor, Senior Moderator
Bull Math Biol
. 2025 Aug 14;87(9):130.
doi: 10.1007/s11538-025-01494-2. Insights on Influenza Control Through Vaccination for the 2023-2024 Season in the USA: Mathematical Modeling, Optimal Control, and Sensitivity Analysis
Ana-Maria Croicu[SUP] 1 [/SUP]
Affiliations
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.
Keywords: Influenza Virus; Optimal Control; SIR Model; Sensitivity Analysis; Uncertainty.
. 2025 Aug 14;87(9):130.
doi: 10.1007/s11538-025-01494-2. Insights on Influenza Control Through Vaccination for the 2023-2024 Season in the USA: Mathematical Modeling, Optimal Control, and Sensitivity Analysis
Ana-Maria Croicu[SUP] 1 [/SUP]
Affiliations
- PMID: 40813929
- DOI: 10.1007/s11538-025-01494-2
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.
Keywords: Influenza Virus; Optimal Control; SIR Model; Sensitivity Analysis; Uncertainty.