Modelling interacting epidemics in overlapping populations
File(s)nika-fiems-deturck-knottenbelt-asmta-2014.pdf (422.12 KB)
Accepted version
Author(s)
Nika, Marily
Fiems, Dieter
De Turck, Koen
Knottenbelt, William J
Type
Conference Paper
Abstract
Epidemic modelling is fundamental to our understanding of biological, social and technological spreading phenomena. As conceptual frameworks for epidemiology advance, it is important they are able to elucidate empirically-observed dynamic feedback phenomena involving interactions amongst pathogenic agents in the form of syndemic and counter-syndemic effects. In this paper we model the dynamics of two types of epidemics with syndemic and counter-syndemic interaction effects in multiple possibly-overlapping populations. We derive a Markov model whose fluid limit reduces to a set of coupled SIR-type ODEs. Its numerical solution reveals some interesting multimodal behaviours, as shown in our case studies.
Editor(s)
Sericola, B
Telek, M
Horvath, G
Date Issued
2014-07-02
Date Acceptance
2014-06-01
Citation
ANALYTICAL AND STOCHASTIC MODELLING TECHNIQUES AND APPLICATIONS, 2014, 8499, pp.33-45
ISSN
0302-9743
Publisher
SPRINGER-VERLAG BERLIN
Start Page
33
End Page
45
Journal / Book Title
ANALYTICAL AND STOCHASTIC MODELLING TECHNIQUES AND APPLICATIONS
Volume
8499
Copyright Statement
Copyright © 2014 Springer-Verlag. This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/978-3-319-08219-6_3
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000343424000003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Source
21st International Conference, ASMTA 2014
Subjects
Computer Science
Computer Science, Information Systems
Computer Science, Software Engineering
Computer Science, Theory & Methods
Counter-syndemic
DIFFUSION
Epidemics
INFORMATION DISSEMINATION
Science & Technology
Social Networks
Syndemic
Technology
Publication Status
Published
Start Date
2014-06-30
Finish Date
2014-07-02
Coverage Spatial
Budapest, Hungary
Date Publish Online
2014-07-02