series event

​​Exploring changes in key epidemiological parameters from different perspectives​

Coloured shapes with LSHTM logo and CEPR logo

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.​ 


Dongxuan Chen, University of Hong Kong 

Event notices

  • Please note that you can join this event in person or you can join the session remotely
  • Please note that the recording link will be listed on this page when available


Free and open to all