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dc.contributor.authorScoones, Ien
dc.contributor.authorJones, Ken
dc.contributor.authorLo Iacono, Gen
dc.contributor.authorRedding, DWen
dc.contributor.authorWilkinson, Aen
dc.contributor.authorWood, Jamesen
dc.date.accessioned2017-04-19T16:07:11Z
dc.date.available2017-04-19T16:07:11Z
dc.date.issued2017-07-19en
dc.identifier.issn0962-8436
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/263708
dc.description.abstractThis paper argues for an integrative modelling approach for understanding zoonoses disease dynamics, combining process, pattern and participatory models. Each type of modelling provides important insights, but all are limited. Combining these in a ‘3P’ approach offers the opportunity for a productive conversation between modelling efforts, contributing to a ‘One Health’ agenda. The aim is not to come up with a composite model, but seek synergies between perspectives, encouraging cross-disciplinary interactions. We illustrate our argument with cases from Africa, and in particular from our work on Ebola virus and Lassa fever virus. Combining process-based compartmental models with macroecological data offers a spatial perspective on potential disease impacts. However, without insights from the ground, the ‘black box’ of transmission dynamics, so crucial to model assumptions, may not be fully understood. We show how participatory modelling and ethnographic research of Ebola and Lassa fever can reveal social roles, unsafe practices, mobility and movement and temporal changes in livelihoods. Together with longer-term dynamics of change in societies and ecologies, all can be important in explaining disease transmission, and provide important complementary insights to other modelling efforts. An integrative modelling approach therefore can offer help to improve disease control efforts and public health responses. This article is part of the themed issue ‘One Health for a changing world: zoonoses, ecosystems and human well-being’.
dc.description.sponsorshipThis work was undertaken under the umbrella of the Dynamic Drivers of Disease in Africa programme, hosted by the ESRC STEPS Centre (http://steps-centre.org/project/drivers_of_disease/). The programme was funded by ESPA (Ecosystem Services for Poverty Alleviation), supported by NERC (Natural Environment Research Council), DFID (Department for International Development) and ESRC (Economic and Social Research Council) (NE-J001570-1).
dc.language.isoenen
dc.publisherRoyal Society Publishing
dc.rightsAttribution 4.0 Internationalen
dc.rightsAttribution 4.0 Internationalen
dc.rightsAttribution 4.0 Internationalen
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectzoonosesen
dc.subjectmodellingen
dc.subjectAfricaen
dc.subjectLassa feveren
dc.subjectEbolaen
dc.subjectOne Healthen
dc.titleIntegrative modelling for One Health: pattern, process and participationen
dc.typeArticle
prism.issueIdentifier1725en
prism.number20160164en
prism.publicationDate2017en
prism.publicationNamePhilosophical Transactions of the Royal Society B: Biological Sciencesen
prism.volume372en
dc.identifier.doi10.17863/CAM.9070
dcterms.dateAccepted2017-01-30en
rioxxterms.versionofrecord10.1098/rstb.2016.0164en
rioxxterms.versionVoRen
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/en
rioxxterms.licenseref.startdate2017-07-19en
dc.contributor.orcidWood, James [0000-0002-0258-3188]
dc.identifier.eissn1471-2970
rioxxterms.typeJournal Article/Reviewen
cam.issuedOnline2017-06-05en
cam.orpheus.successThu Jan 30 12:53:40 GMT 2020 - The item has an open VoR version.*
rioxxterms.freetoread.startdate2100-01-01


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International