A Spatial Markov Chain Cellular Automata Model for the Spread of Viruses
Lu, Jenny (Student TU Delft)
Vermolen, F.J. (TU Delft Numerical Analysis; University of Hasselt)
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).
To reference this document use:
Lecture Notes in Computational Vision and Biomechanics: Selected Papers from the 17th International Symposium CMBBE and 5th Conference on Imaging and Visualization
17th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering and the 5th Conference on Imaging and Visualization, 2021-09-07 → 2021-09-09, online symposium
Lecture Notes in Computational Vision and Biomechanics, 2212-9391, 38
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© 2023 Jenny Lu, F.J. Vermolen