Leptospirosis risk around a potential source of infection

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dc.contributor.authorErica, Loaiza-Echeverry
dc.contributor.authorDoracelly, Hincapie-Palacio
dc.contributor.authorAcosta Jesus, Ochoa
dc.contributor.authorGiraldo Juan, Ospina
dc.contributor.departmentUniversidad EAFIT. Departamento de Cienciasspa
dc.contributor.researchgroupLógica y Computaciónspa
dc.creatorErica, Loaiza-Echeverry
dc.creatorDoracelly, Hincapie-Palacio
dc.creatorAcosta Jesus, Ochoa
dc.creatorGiraldo Juan, Ospina
dc.date.accessioned2021-03-26T21:35:20Z
dc.date.available2021-03-26T21:35:20Z
dc.date.issued2015-01-01
dc.description.abstractLeptospirosis is a bacterial zoonosis with world distribution and multiform clinical spectrum in men and animals. The etiology of this disease is the pathogenic species of Leptospira, which cause diverse manifestations of the disease, from mild to serious, such as the Weil disease and the lung hemorrhagic syndrome with lethal proportions of 10% - 50%. This is an emerging problem of urban health due to the growth of marginal neighborhoods without basic sanitary conditions and an increased number of rodents. The presence of rodents and the probability of having contact with their urine determine the likelihood for humans to get infected. In this paper, we simulate the spatial distribution of risk infection of human leptospirosis according to the proximity to rodent burrows considered as potential source of infection. The Bessel function K0 with an r distance from the potential point source, and the scale parameter a in meters was used. Simulation inputs were published data of leptospirosis incidence rate (range of 5 to 79 x 10 000), and a distance of 100 to 5000 meters from the source of infection. We obtained an adequate adjustment between the function and the simulated data. The risk of infection increases with the proximity of the potential source. This estimation can become a guide to propose effective measures of control and prevention. © 2015 SPIE.eng
dc.identifierhttps://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=2244
dc.identifier.doi10.1117/12.2177008
dc.identifier.issn0277786X
dc.identifier.issn1996756X
dc.identifier.otherWOS;000359469900020
dc.identifier.otherSCOPUS;2-s2.0-84948783920
dc.identifier.urihttp://hdl.handle.net/10784/27411
dc.language.isoengeng
dc.publisherSPIE-INT SOC OPTICAL ENGINEERING
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84948783920&doi=10.1117%2f12.2177008&partnerID=40&md5=a95379cf3baa8ad9e7d63cfb12bea90a
dc.rightshttps://v2.sherpa.ac.uk/id/publication/issn/0277-786X
dc.sourceProceedings of SPIE
dc.subject.keywordComputer simulationeng
dc.subject.keywordMammalseng
dc.subject.keywordPhysiologyeng
dc.subject.keywordControl and preventioneng
dc.subject.keywordEffective measureseng
dc.subject.keywordIncidence rateeng
dc.subject.keywordLeptospirosiseng
dc.subject.keywordPathogenic specieseng
dc.subject.keywordPotential sourceseng
dc.subject.keywordScale parametereng
dc.subject.keywordSpatial analysiseng
dc.subject.keywordUrban growtheng
dc.titleLeptospirosis risk around a potential source of infectioneng
dc.typeinfo:eu-repo/semantics/conferencePapereng
dc.typeconferencePapereng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.typepublishedVersioneng
dc.type.localDocumento de conferenciaspa

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