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This talk will focus on two studies based on data from mainland China and Hong Kong during the COVID-19 pandemic. The first study investigated how taking into account sampling bias, the interval between individuals becoming infected and transmitting COVID-19 changed over time using data from mainland China. The second study examined the differences in COVID-19 superspreading potential and generation interval in different transmission event settings based on Hong Kong's detailed contact tracing data and outbreak investigation.​ 

Speaker

, University of Hong Kong 

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