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香港理工大学何岱海副教授做学术报告
发布时间:2023-05-23


报告题目Resolving the enigma of Iquitos and Manaus: A modeling analysis of multiple COVID-19 epidemic waves in twoAmazonian cities

报告人:何岱海 (香港理工大学)

报告时间202352215:00-16:30

报告地点:复杂系统研究所报告厅(商学楼409)

报告人简介:何岱海,副教授,博士生导师,就职于香港理工大学应用数学系,于1999年获西安交通大学工学博士学位,2006年获加拿大麦克马斯大学数学博士学位。曾在北京师范大学物理系、美国密西根大学生态学系、以色列特拉雄夫大学动物学系做博士后研究。主要研究兴趣是传染病建模和数据统计分析,在PNAS,Sci Adv,Ann Intern, Eur Respir J,J R Soc Interface等权威期刊发表论文140余篇,研究成果受到国内外媒体的广泛报道。其关于非洲安哥拉黄热病的建模获2018年国际疾病监测学会的科学贡献最佳论文第二名,并先后获得香港研究资助局项目、香港食品与卫生环境署健康与医疗项目、阿里巴巴合作研究基金等多项基金资助。

摘要The nearby cities of Iquitos (Peru) and Manaus (Brazil) experienced the world's highest infection and mortality rates during the first COVID-19 wave in 2020. Key studies suggested that >70% of the city populations were infected in this wave and thus close to herd immunity and protected. It remains an enigma as to why a deadly second wave followed in Manausworse than the first. To resolve this, we present a data-driven model of epidemic dynamics in Iquitos which we use to help explain and model events in Manaus. The partially observed Markov process model simultaneous fits a flexible variable R0, estimates long-term immunity waning and impulsive immune evasion, and thus provides a comprehensive framework for characterizing and modeling new variants of concern.

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