Giving a Talk on International Forum on Data Science Approaches to the COVID-19 Pandemic

During the forum, I shared my modelling results on how to prevent resurgence of COVID-19 after the relaxation of measures. Understanding how quarantine measures in Hong Kong were effective in limiting community spread can provide us with valuable insights into how to suppress an outbreak. However, challenges exist in evaluating the effects of quarantine on COVID-19 transmission dynamics in Hong Kong due to the fact that the effects of border control have to be also taken into account. I showed how the effects of intervention measures were estimated using a meta-population model.
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International Forum on Data Science Approaches to the COVID-19 Pandemic [Online]
Date and time: 28 and 29 May 2020 (Thursday and Friday), 9:00am – 12:00nn
https://www.sdsc.cityu.edu.hk/news-events/events
Prevention of COVID-19 after the Relaxation of
Control Measures (10:50 – 11:10am)
Dr Sean YUAN (Assistant Professor, Department of
Biomedical Sciences, CityU)