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

Jenny Lu, Fred Vermolen*

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeChapterScientificpeer-review

9 Downloads (Pure)

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).

Original languageEnglish
Title of host publicationLecture Notes in Computational Vision and Biomechanics
Subtitle of host publicationSelected Papers from the 17th International Symposium CMBBE and 5th Conference on Imaging and Visualization
PublisherSpringer
Pages1-23
Number of pages23
ISBN (Print)978-3-031-10015-4
DOIs
Publication statusPublished - 2023
Event17th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering and the 5th Conference on Imaging and Visualization - online symposium
Duration: 7 Sept 20219 Sept 2021
Conference number: 17

Publication series

NameLecture Notes in Computational Vision and Biomechanics
Volume38
ISSN (Print)2212-9391
ISSN (Electronic)2212-9413

Conference

Conference17th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering and the 5th Conference on Imaging and Visualization
Abbreviated titleCMBBE 2021
Period7/09/219/09/21

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.

Fingerprint

Dive into the research topics of 'A Spatial Markov Chain Cellular Automata Model for the Spread of Viruses'. Together they form a unique fingerprint.

Cite this