Speaker: JunlingMa, Professor,University of Victoria
Time: 9:30, 17^th Jun. 2020

ZOOM ID: 991 678 01017 Password: 254926

Abstract:

The COVID-19 pandemic has been a major public health challenge around the world. Mathematical models are powerful tools for prediction and intervention evaluation. A key component of mathematical modeling is parameter estimation. In this talk, we will look at how to use data to estimate disease parameters such as the distributions of the incubation period and serial interval, exponential growth rate and reproduction number, using the case descriptions published by Chinese provinces, and the outbreak data in BC, Canada. We will also discuss what parameters can be robustly estimated from the available data, and what cannot. We will summarize with the implications of our results to the development of COVID-19 models.