Modelling and policy in the COVID-19 pandemic
I will describe several mathematical models related to COVID-19 transmission and their use and application in public health. First I will describe how we have modelled social distancing and its impact using Bayesian estimation and briefly remark on the uses of this modelling structure for short-term forecasting of the impact of higher-transmission variants of concern. Next I will describe modelling vaccination rollout and the advantages of vaccinating essential workers -- defined as those with unavoidable high contact levels at work -- earlier in the vaccination program in Canada.
This seminar is jointly run by CMM/U Montreal.
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Join the meeting on Zoom:
https://umontreal.zoom.us/j/94053083646?pwd=RE5aUTdXc3hEbHoyZUFEYksxZ000...
Meeting ID: 940 5308 3646
Passcode: 952444