Print Email Facebook Twitter A Spatial Markov Chain Cellular Automata Model for the Spread of Viruses Title A Spatial Markov Chain Cellular Automata Model for the Spread of Viruses Author Lu, Jenny (Student TU Delft) Vermolen, F.J. (TU Delft Numerical Analysis; University of Hasselt) Date 2023 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). To reference this document use: http://resolver.tudelft.nl/uuid:7d4b59b7-5651-4ebf-b91a-705071af9fc5 DOI https://doi.org/10.1007/978-3-031-10015-4_1 Publisher Springer Embargo date 2023-07-01 ISBN 978-3-031-10015-4 Source Lecture Notes in Computational Vision and Biomechanics: Selected Papers from the 17th International Symposium CMBBE and 5th Conference on Imaging and Visualization Event 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 Series Lecture Notes in Computational Vision and Biomechanics, 2212-9391, 38 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. Part of collection Institutional Repository Document type book chapter Rights © 2023 Jenny Lu, F.J. Vermolen Files PDF 978_3_031_10015_4_1.pdf 2.57 MB Close viewer /islandora/object/uuid:7d4b59b7-5651-4ebf-b91a-705071af9fc5/datastream/OBJ/view