前四場演講可見：https://youtube.com/playlist?list=PLil-R4o6jmGhIt_P6fUlFIuAtRke6gkue

第六場報名連結：https://forms.gle/V4W5bsVZjhWzDYWm9

數學建模在疫情研究中扮演重要角色，您是否有興趣進一步了解？本次講座邀請加拿大麥克馬斯特大學（McMaster University）生物學教授兼臺大公衛學院訪問學者Jonathan Dushoff（黃友森）博士，分享他對傳染病毒傳播模型的觀察，以及傳播模型所帶來的理論和實務問題。現場更邀請臺大公衛學院方啓泰教授擔任與談人，就此議題共同進行深入討論。

講座主題包括傳染病毒的時間分布與世代間隔對疫情蔓延速度與強度的影響，以及COVID-19、犬隻狂犬病及其他病毒疾病在傳染時間估計方面的問題。此外，現場還有精心準備的餐盒等著您參加！

因座位有限，本次講座限額40人報名。本活動敬備餐盒予事先報名之現場與會者。
為盡量減少作業流程及落實防疫，請務必填寫真實資料。
 

講題：Mathematical modeling of infectious diseases: insights and limitations
講者：Jonathan Dushoff（加拿大麥克馬斯特大學生物學教授暨臺大公衛學院訪問學者）
與談人：方啓泰教授（臺大公衛學院）

演講大綱：
The spread of epidemics is structured by time distributions, including the now-famous “serial interval” between when an individual experiences symptoms, and when the person that they infect experiences symptoms. This is often used to represent the “generation interval” between when the same two individuals were infected, but these can be importantly different. Defining these time distributions clearly, and describing how they relate to each other, and to key parameters of disease spread, poses interesting theoretical and practical questions.

I will discuss how transmission intervals link the “speed” and “strength” of epidemics, issues in their estimation, and their role in helping monitor changes in the parameters underlying disease, with examples from COVID-19, rabies and other HIV.

報名須知
時間：2023/04/19（三）15:30-17:00