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Simulations of COVID-19 Epidemics

Student: Fadin Vladimir

Supervisor: Mark Kelbert

Faculty: Faculty of Economic Sciences

Educational Programme: Statistical Modelling and Actuarial Science (Master)

Year of Graduation: 2020

The paper considers the simulation of the COVID-19 epidemic. The methods used are a single SIR model and a network model that takes into account migration flows between centers. AICc models are compared, and migration flows between centers are estimated for a network model.

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