Presentation Information
[C16-04]Modeling Mpox Transmission: Insights from Behavioral Networks and Age Heterogeneity
*Ling Xue1, Qiaojuan Jia1, Zixiao Xiong1, Yanfen Zhang1 (1. Harbin Engineering University (China))
Keywords:
Mpox Transmission,Behavioral Networks,Age Heterogeneity
In this talk, I present a study motivated by the need to understand and control the Mpox virus, especially with the emergence of new variants and limited resources. The goal is to assess how the virus spreads in different populations and evaluate the effectiveness of interventions, offering recommendations for public health responses in places like the Democratic Republic of Congo (2023 strain) and New York City (2022 outbreak). Key findings include that containment measures reduced contact by 20% in high-risk groups but increased transmission in low-risk populations. Limiting sexual contacts to fewer than 2 per week helped control the spread. In NYC, non-vaccination led to 385% more infections, while pre-epidemic vaccination reduced cases by 4-6%. Prioritizing vaccination for high-risk individuals aged 34-45 was particularly effective. These results highlight the importance of strategies that combine early interventions for high-risk groups with ongoing surveillance of the general population. When vaccine resources are limited, prioritizing high-risk groups is crucial for controlling the outbreak.