How does Covid-19 spread in society and what measures are most effective in checking the spread of infection? This question has been discussed by researchers, authorities and politicians. Everyone is looking for quick and effective solutions to stop the pandemic that continues to spread around the world.
To understand the spread of infection and how it can best be checked, advanced computer simulation and computational models are used. Yet many predictions have proven to be incorrect in retrospect.
Why has it been so difficult to simulate the spread of Covid-19? What lessons can we draw, and how will tomorrow's technology help us prevent and plan for future pandemics?
On Sunday 18 April, during the International Science Festival Gothenburg, the Department of Computer and Information Technology at Chalmers will host a panel discussion on Covid modeling with leading experts in the field
Participants in the panel discussion:
Professor of Mathematical Statistics at Stockholm University, applies probability models and statistical inference theory to, among other things, epidemiological models and networks
PhD, Swedish Public Health Agency, statistician working in epidemiology and public health with a focus on infectious diseases. She has a doctorate in statistics from Chalmers and a master's degree in environmental technology also from Chalmers.
Professor at the Department of Public Health and Clinical Medicine at Umeå University, epidemiologist and modeler focusing on studying the effects of climate change on health and how climate information can be used for public health prevention
18 April, 2021, 16:50
18 April, 2021, 17:20