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dc.contributor.authorShackleton, D
dc.contributor.authorMemon, F
dc.contributor.authorChen, AS
dc.date.accessioned2020-04-17T07:50:51Z
dc.date.issued2019-09-04
dc.description.sponsorshipEngineering and Physical Sciences Research Council (EPSRC)en_GB
dc.identifier.citationCCWI 2019: 17th International Computing and Control for the Water Industry Conference, 1-4 September 2019, Exeter, UKen_GB
dc.identifier.grantnumberEP/L016214/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/120704
dc.language.isoenen_GB
dc.publisherUniversity of Exeteren_GB
dc.relation.urlhttps://www.ccwi-2019.com/en_GB
dc.rights© 2019 CCWIen_GB
dc.subjectcholeraen_GB
dc.subjectclimate changeen_GB
dc.subjectmathematical modellingen_GB
dc.subjectendemicen_GB
dc.titleModelling for the Identification of Mechanisms Driving Cholera Outbreaks in Endemic Regionsen_GB
dc.typeConference paperen_GB
dc.date.available2020-04-17T07:50:51Z
dc.descriptionThis is the author accepted manuscript.en_GB
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
dcterms.dateAccepted2019-06-07
rioxxterms.versionAMen_GB
rioxxterms.licenseref.startdate2019-09-04
rioxxterms.typeConference Paper/Proceeding/Abstracten_GB
refterms.dateFCD2020-04-16T16:31:15Z
refterms.versionFCDAM
refterms.dateFOA2020-04-17T07:50:53Z
refterms.panelBen_GB


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