Imperial College London
Alternate

ProfessorWilliamKnottenbelt

Faculty of Engineering, Department of Computing

Professor of Applied Quantitative Analysis
 
 
 
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Contact

 

+44 (0)20 7594 8331w.knottenbelt Website

 
 
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Location

 

E363ACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Nika:2014:10.1007/978-3-319-08219-6_3,
author = {Nika, M and Fiems, D and De, Turck K and Knottenbelt, WJ},
doi = {10.1007/978-3-319-08219-6_3},
pages = {33--45},
publisher = {SPRINGER-VERLAG BERLIN},
title = {Modelling interacting epidemics in overlapping populations},
url = {http://dx.doi.org/10.1007/978-3-319-08219-6_3},
year = {2014}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - 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.
AU  - Nika,M
AU  - Fiems,D
AU  - De,Turck K
AU  - Knottenbelt,WJ
DO  - 10.1007/978-3-319-08219-6_3
EP  - 45
PB  - SPRINGER-VERLAG BERLIN
PY  - 2014///
SN  - 0302-9743
SP  - 33
TI  - Modelling interacting epidemics in overlapping populations
UR  - http://dx.doi.org/10.1007/978-3-319-08219-6_3
UR  - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000343424000003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://link.springer.com/chapter/10.1007/978-3-319-08219-6_3
UR  - http://hdl.handle.net/10044/1/106274
ER  -
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