A Spatial Markov Chain Cellular Automata Model for the Spread of Viruses

Book Chapter (2023)
Author(s)

Jenny Lu (Student TU Delft)

F.J. Vermolen (Universiteit Hasselt, TU Delft - Numerical Analysis)

Research Group
Numerical Analysis
Copyright
© 2023 Jenny Lu, F.J. Vermolen
DOI related publication
https://doi.org/10.1007/978-3-031-10015-4_1
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 Jenny Lu, F.J. Vermolen
Research Group
Numerical Analysis
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Pages (from-to)
1-23
ISBN (print)
978-3-031-10015-4
Reuse Rights

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Abstract

In this paper a Spatial Markov Chain Cellular Automata model for the spread of viruses is proposed. The model is based on a graph with connected nodes, where the nodes represent individuals and the connections between the nodes denote the relations between humans. In this way, a graph is connected where the probability of infectious spread from person to person is determined by the intensity of interpersonal contact. Infectious transfer is determined by chance. The model is extended to incorporate various lockdown scenarios. Simulations with different lockdowns are provided. In addition, under logistic regression, the probability of death as a function of age and gender is estimated, as well as the duration of the disease given that an individual dies from it. The estimations have been done based on actual data of RIVM (from the Netherlands).

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