Mathematical Modelling of Vaccination Strategy for Seasonal Influenza in South Korea

Seasonal influenza remains a significant public health concern in South Korea, with seasonal outbreaks contributing to a high burden of disease and healthcare costs. To inform effective vaccination strategies, mathematical models can provide insights into the dynamics of influenza transmission and the impact of various vaccination strategies. In this talk, I will discuss a compartmental model to simulate the spread of seasonal influenza in South Korea, incorporating factors such as vaccination coverage, demographic structure, and virus transmission characteristics. The model is calibrated using historical data on influenza incidence, vaccination rates, and population demographics. I will discuss different vaccination strategies, including age-targeted vaccination, the impact of varying vaccine efficacy levels. The findings of considered work suggest that a targeted vaccination strategy, focusing on high-risk groups, combined with public health measures to increase vaccine uptake, could significantly reduce the incidence of influenza and mitigate its economic impact. This mathematical framework provides valuable guidance for optimizing influenza vaccination policies in South Korea and can be adapted to other countries facing similar challenges with seasonal influenza control.

Mathematical Modelling of Vaccination Strategy for Seasonal Influenza in South Korea

Monday, July 14 at 6:00pm

Vijay Pal Bajiya

"Mathematical Modelling of Vaccination Strategy for Seasonal Influenza in South Korea"

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