Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/38907
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dc.contributor.authorLu, Jenny-
dc.contributor.authorVERMOLEN, Fred-
dc.contributor.editorTavares, JMRS-
dc.contributor.editorBourauel, C-
dc.contributor.editorGeris, L-
dc.contributor.editorSlote, JV-
dc.date.accessioned2022-11-23T07:55:19Z-
dc.date.available2022-11-23T07:55:19Z-
dc.date.issued2023-
dc.date.submitted2022-11-18T12:15:06Z-
dc.identifier.citationTavares, JMRS; Bourauel, C; Geris, L; Slote, JV (Ed.). COMPUTER METHODS, IMAGING AND VISUALIZATION IN BIOMECHANICS AND BIOMEDICAL ENGINEERING II, SPRINGER INTERNATIONAL PUBLISHING AG, p. 1 -23-
dc.identifier.isbn978-3-031-10015-4; 978-3-031-10014-7-
dc.identifier.issn2212-9391-
dc.identifier.urihttp://hdl.handle.net/1942/38907-
dc.description.abstractIn 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).-
dc.language.isoen-
dc.publisherSPRINGER INTERNATIONAL PUBLISHING AG-
dc.relation.ispartofseriesLecture Notes in Computational Vision and Biomechanics-
dc.rights2023 The Author(s), under exclusive license to Springer Nature Switzerland AG-
dc.titleA Spatial Markov Chain Cellular Automata Model for the Spread of Viruses-
dc.typeProceedings Paper-
local.bibliographicCitation.conferencedateSEP 07-09, 2021-
local.bibliographicCitation.conferencename17th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering (CMBBE) / 5th Conference on Imaging and Visualization-
local.bibliographicCitation.conferenceplaceBonn, GERMANY-
dc.identifier.epage23-
dc.identifier.spage1-
dc.identifier.volume38-
local.format.pages23-
local.bibliographicCitation.jcatC1-
dc.description.notesLu, J (corresponding author), Delft Univ Technol, Delft Inst Appl Math, Mekelweg 4, NL-2628 Delft, Netherlands.-
dc.description.notesJ.Lu@student.tudelft.nl; Fred.Vermolen@uhasselt.be-
local.publisher.placeGEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
dc.identifier.doi10.1007/978-3-031-10015-4_1-
dc.identifier.isi000876827700001-
local.provider.typewosris-
local.bibliographicCitation.btitleCOMPUTER METHODS, IMAGING AND VISUALIZATION IN BIOMECHANICS AND BIOMEDICAL ENGINEERING II-
local.description.affiliation[Lu, Jenny] Delft Univ Technol, Delft Inst Appl Math, Mekelweg 4, NL-2628 Delft, Netherlands.-
local.description.affiliation[Vermolen, Fred] Univ Hasselt, Computat Math Grp, Dept Math & Stat, Agoralaan Bldg D, B-3590 Diepenbeek, Belgium.-
local.uhasselt.internationalyes-
item.fullcitationLu, Jenny & VERMOLEN, Fred (2023) A Spatial Markov Chain Cellular Automata Model for the Spread of Viruses. In: Tavares, JMRS; Bourauel, C; Geris, L; Slote, JV (Ed.). COMPUTER METHODS, IMAGING AND VISUALIZATION IN BIOMECHANICS AND BIOMEDICAL ENGINEERING II, SPRINGER INTERNATIONAL PUBLISHING AG, p. 1 -23.-
item.contributorLu, Jenny-
item.contributorVERMOLEN, Fred-
item.contributorTavares, JMRS-
item.contributorBourauel, C-
item.contributorGeris, L-
item.contributorSlote, JV-
item.accessRightsOpen Access-
item.fulltextWith Fulltext-
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