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
TitelLeveraging Applications of Formal Methods, Verification and Validation : Verification Principles - 9th International Symposium on Leveraging Applications of Formal Methods, ISoLA 2020, Proceedings
RedaktørerTiziana Margaria, Bernhard Steffen
Antal sider19
ForlagSpringer
Publikationsdato2020
Sider385-403
ISBN (Trykt)978-3-030-61361-7
ISBN (Elektronisk)978-3-030-61362-4
DOI
StatusUdgivet - 2020
Begivenhed9th International Symposium on Leveraging Applications of Formal Methods, Verification and Validation, ISoLA 2020 - Rhodes, Grækenland
Varighed: 20 okt. 202030 okt. 2020

Konference

Konference9th International Symposium on Leveraging Applications of Formal Methods, Verification and Validation, ISoLA 2020
Land/OmrådeGrækenland
ByRhodes
Periode20/10/202030/10/2020
NavnLecture Notes in Computer Science
Vol/bind12476
ISSN0302-9743

Bibliografisk note

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

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