Several spatial epidemic models in a heterogeneous environment with applications to COVID-19

Speaker: Dr. Yuan Lou, Department of Mathematics, Ohio State University Dr. Yuan Lou received his Ph.D. from the UMinnesota in 1995, trained in the area of partial differential equations. He did his postdoctoral work at MSRI (1995-96) and UChicago (1996-98), before joining the Department of Mathematics at Ohio State University as a faculty member in […]

Towards Epidemiological Intelligence: modeling based analytics combating COVID-19

https://youtu.be/g0UNpc32coQ Speaker: Xiaonong Zhou, Professor, Director National Institute of Parasitic Diseases at Chinese Center of Disease Control and Prevention & Chinese Center for Tropical Xiao-Nong Zhou is Director of the National Institute of Parasitic Diseases at Chinese Center for Disease Control and Prevention & Chinese Center for Tropical Diseases Research, and WHO Collaborating Centre for […]

Mathematical models for COVID-19 are not crystal balls. However…

Speaker: Dr. Daniel Coombs, Mathematics, University of British Columbia Dr. Coombs obtained his MSc and PhD in applied mathematics from UArizona. He then did postdoctoral work in the Theoretical Biology and Biophysics group at Los Alamos National Lab, before joining the Dept of Mathematics at UBC as a faculty member, in 2003. Dr. Coombs contributes […]

How safe is re-opening? Real time modelling and resurgence risk in COVID-19

Speaker: Dr. Caroline Colijn, Mathematics and Statistics Simon Fraser University Dr. Colijn is a Professor & Canada 150 Chair in Mathematics for Infection Evolution and Public Health at Simon Fraser University. Caroline seeks to build mathematical and statistical tools to make the best possible use of the rich data available from sequencing technologies. The ultimate […]

COVID-19 transmission characteristics: Implications to mathematical modelling

Speaker: Dr. Junling Ma, Mathematics and Statistics University of Victoria Dr. Junling Ma’s main research interests include the mathematical modeling of infectious diseases such as influenza and HIV, the study of disease dynamics on contact networks, and their application to real diseases. Abstract: The COVID-19 pandemic has been a major public health challenge around the […]