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dc.contributor.authorGerardo-Giorda, L.
dc.contributor.authorPuggioni, G.
dc.contributor.authorRudd, R.J.
dc.contributor.authorWaller, L.A.
dc.contributor.authorReal, L.A.
dc.date.accessioned2017-02-21T08:15:42Z
dc.date.available2017-02-21T08:15:42Z
dc.date.issued2013-12-31
dc.identifier.issn1742-5689
dc.identifier.urihttp://hdl.handle.net/20.500.11824/400
dc.description.abstractAn efficient surveillance system is a crucial factor in identifying, monitoring and tackling outbreaks of infectious diseases. Scarcity of data and limited amounts of economic resources require a targeted effort from public health authorities. In this paper, we propose a mathematical method to identify areas where surveillance is critical and low reporting rates might leave epidemics undetected. Our approach combines the use of reference-based susceptible-exposed-infectious models and observed reporting data;We propose two different specifications, for constant and time-varying surveillance, respectively. Our case study is centred around the spread of the raccoon rabies epidemic in the state of New York, using data collected between 1990 and 2007. Both methods offer a feasible solution to analyse and identify areas of intervention.
dc.formatapplication/pdf
dc.language.isoengen_US
dc.rightsReconocimiento-NoComercial-CompartirIgual 3.0 Españaen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/en_US
dc.subjectData assimilation
dc.subjectModelling
dc.subjectPublic health
dc.subjectRaccoon rabies
dc.subjectRisk monitoring
dc.titleStructuring targeted surveillance for monitoring disease emergence by mapping observational data onto ecological process
dc.typeinfo:eu-repo/semantics/articleen_US
dc.identifier.doi10.1098/rsif.2013.0418
dc.relation.publisherversionhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84880802255&doi=10.1098%2frsif.2013.0418&partnerID=40&md5=9f1e940d4b18075f8657544fe467f844
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen_US
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersionen_US
dc.journal.titleJournal of the Royal Society Interfaceen_US


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Reconocimiento-NoComercial-CompartirIgual 3.0 España
Except where otherwise noted, this item's license is described as Reconocimiento-NoComercial-CompartirIgual 3.0 España