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dc.contributor.authorMaharaj, Savien_UK
dc.contributor.authorMcCaig, Chrisen_UK
dc.contributor.authorShankland, Carronen_UK
dc.contributor.editorClark, Aen_UK
dc.contributor.editorGuerriero, MLen_UK
dc.description.abstractWe use NetLogo to create simulations of two models of disease transmission originally expressed in WSCCS. This allows us to introduce spatiality into the models and explore the consequences of having different contact structures among the agents. In previous work, mean field equations were derived from the WSCCS models, giving a description of the aggregate behaviour of the overall population of agents. These results turned out to differ from results obtained by another team using cellular automata models, which differ from process algebra by being inherently spatial. By using NetLogo we are able to explore whether spatiality, and resulting differences in the contact structures in the two kinds of models, are the reason for this different results. Our tentative conclusions, based at this point on informal observations of simulation results, are that space does indeed make a big difference. If space is ignored and individuals are allowed to mix randomly, then the simulations yield results that closely match the mean field equations, and consequently also match the associated global transmission terms (explained below). At the opposite extreme, if individuals can only contact their immediate neighbours, the simulation results are very different from the mean field equations (and also do not match the global transmission terms). These results are not surprising, and are consistent with other cellular automata-based approaches. We found that it was easy and convenient to implement and simulate the WSCCS models within NetLogo, and we recommend this approach to anyone wishing to explore the effects of introducing spatiality into a process algebra model.en_UK
dc.publisherUniversity of Edinburghen_UK
dc.relationMaharaj S, McCaig C & Shankland C (2009) Studying the effects of adding spatiality to a process algebra model. In: Clark A & Guerriero M (eds.) 8th Workshop on Process Algebra and Stochastically Timed Activities: PASTA 2009. 8th Workshop on Process Algebra and Stochastically Timed Activities (PASTA 2009): Edinburgh, UK, Edinburgh, 26.08.2009-26.08.2009. Edinburgh, UK: University of Edinburgh, pp. 153-158.
dc.rightsThe publisher has not responded to our queries therefore this work cannot be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author; you can only request a copy if you wish to use this work for your own research or private study.en_UK
dc.subjectCommunicable diseasesen_UK
dc.subjectTransmission Mathematical modelsen_UK
dc.titleStudying the effects of adding spatiality to a process algebra modelen_UK
dc.typeConference Paperen_UK
dc.rights.embargoreason[pasta09.pdf] The publisher has not responded to our queries. This work cannot be made publicly available in this Repository therefore there is an embargo on the full text of the work.en_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.citation.btitle8th Workshop on Process Algebra and Stochastically Timed Activities: PASTA 2009en_UK
dc.citation.conferencedates2009-08-26 - 2009-08-26en_UK
dc.citation.conferencename8th Workshop on Process Algebra and Stochastically Timed Activities (PASTA 2009): Edinburgh, UKen_UK
dc.publisher.addressEdinburgh, UKen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.contributor.affiliationUniversity of Stirlingen_UK
dc.contributor.affiliationComputing Scienceen_UK
rioxxterms.typeConference Paper/Proceeding/Abstracten_UK
local.rioxx.authorMaharaj, Savi|0000-0002-0674-6044en_UK
local.rioxx.authorMcCaig, Chris|en_UK
local.rioxx.authorShankland, Carron|0000-0001-7672-2884en_UK
local.rioxx.projectInternal Project|University of Stirling|
local.rioxx.contributorClark, A|en_UK
local.rioxx.contributorGuerriero, ML|en_UK
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings

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