Show simple item record

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. © 2013 The Author(s).
dc.formatapplication/pdf
dc.languageeng
dc.publisherJournal of the Royal Society Interface
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/
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/article
dc.typeinfo:eu-repo/semantics/publishedVersion
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


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

info:eu-repo/semantics/openAccess
Except where otherwise noted, this item's license is described as info:eu-repo/semantics/openAccess