Math Modeling Seminar - Comparing the Responses of COVID-19
Comparing the Responses of the UK, Sweden and Denmark to COVID-19 Using Counterfactual Modelling
Dr. Samir Bhatt
Senior Lecturer*
Faculty of Medicine
School of Public Health
Imperial College London
*The Senior Lecturer rank in the UK is tenured and roughly equivalent to the rank of Associate Professor in the North American system.
Abstract:
The UK and Sweden are among the top five worst affected European countries ranked by total per-capita mortality due to COVID-19. Sweden stands out among European countries for its greater reliance on voluntary rather than mandatory control measures. Here we explore how the timing and effectiveness of the different policies adopted on COVID-19 transmission in the UK, Sweden and Denmark shaped the mortality seen in each country, using a counterfactual assessment of what might have been the impact of each of those countries adopting the others' policies.
Speaker Bio:
Dr. Samir Bhatt is an Associate Professor at Imperial College London. His interests lie in the development and application of inferential mathematical models to address policy-relevant questions about infectious diseases. His main areas of research concern Malaria and HIV. Methodologically, he is interested in spatial statistics, Gaussian processes, kernel machines and machine learning.
Intended Audience:
Undergraduates, graduates, and experts. Those with interest in the topic.
The Math Modeling Seminar will recur each week throughout the semester on the same day and time. Find out more about upcoming speakers on the Mathematical Modeling Seminar Series webpage.
Event Snapshot
When and Where
Who
Open to the Public
Interpreter Requested?
No