报告题目：Modeling Mpox Transmission: Insights from Behavioral Networks and Age Heterogeneity
报告时间：2025年6月30日（星期一）上午9:30-11:00
报告地点：四教119会议室
报告摘要：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.
报告人简介: 薛玲，哈尔滨工程大学数学科学学院教授、博士生导师、生物数学团队学科带头人、龙江学者特聘教授、黑龙江省工程与应用重点实验室副主任、黑龙江省专业技术领军人才梯队后备带头人、入选哈尔滨工程大学兴海领军人才培育计划。在Journal of Differential Equation、Journal of Mathematical Biology、SIAM J Appl Math等SCI 期刊发表论文50余篇。
