Abstrakt

During the spring of 2020, the BEOCOVID project has been funded to investigate the use of stochastic hybrid models, statistical model checking and machine learning to anlyse, predict and control the rapid spreading of Covid-19. In this paper we focus on the SEIHR epidemiological model instance of Covid-19 pandemics and show how the risk of viral exposure, the impact of super-spreader events as well as other scenarios can be modelled, estimated and controlled using the tool Uppaal SMC.
OriginalsprogEngelsk
Titel9th International Symposium On Leveraging Applications of Formal Methods, Verification and Validation
StatusAccepteret/In press - 2020

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