Early warning and long-term prediction of COVID-19 infection in China: model/data-based analyses
Webinar: https://yorku.zoom.us/j/98615589444?pwd=S1JYcVA0R291blBoZzBnRkhDdW56dz09 .
Based on the updated data on COVID-19 infection in China and the continuously enhanced prevention and control measures, I will briefly introduce how our team accurately predicted the early transmission risk, infection scale and inflection point of COVID-19 in China through mathematical models and multi-source data, as well as how to describe and evaluate the effectiveness of the prevention and control strategy. Then I will focus on how to develop a discrete stochastic model based on comprehensive and detailed epidemic data in Shaanxi to analyze the risk of secondary outbreak.
Bio:
Dr Sanyi Tang, Professor of Shaanxi Normal University, Xi’an China. He obtained his PhD from Academy of Mathematics and Systems Science, Chinese Academy of Sciences in 2003, and then he did four years postdoc. in the Warwick University of UK. Dr Tang has published more than 120 papers in the subjects of non-smooth dynamical system, mathematical ecology and epidemiology, and in journals of SIAM J Applied Math, Roy Soc Interface, J Math Biol, Bull Math Biol and etc.
See also
