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Molecular detection of Leptospira spp. in rats as early spatial predictor for human disease in an endemic urban area

dc.contributor.authorPellizzaro, Maysa [UNESP]
dc.contributor.authorMartins, Camila Marinelli
dc.contributor.authorYamakawa, Ana Carolina
dc.contributor.authorFerraz, Diogo da Cunha
dc.contributor.authorMorikawa, Vivien Midori
dc.contributor.authorFerreira, Fernando
dc.contributor.authorSantos, Andrea Pires dos
dc.contributor.authorBiondo, Alexander Welker
dc.contributor.authorLangoni, Helio [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Estadual de Ponta Grossa (UEPG)
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniv Fed Parana
dc.contributor.institutionZoonoses Surveillance Unit
dc.contributor.institutionPurdue Univ
dc.date.accessioned2019-10-06T01:40:41Z
dc.date.available2019-10-06T01:40:41Z
dc.date.issued2019-05-22
dc.description.abstractBackground Leptospirosis is considered a neglected zoonosis associated with infrastructure problems and low socioeconomic status, particularly slums. Since the disease is mainly transmitted in urban settings by rat urine, this risk factor may be important predictor tool for prompt control and effective prevention at the local level in urban endemic areas. Accordingly, the present study aimed to propose an early spatial predictor tool for human leptospirosis in urban settings, to test the methodology of molecular methods for assessing Leptospira spp. in trapped rats, and report associated environmental data. Methodology/Principal findings Official city records and previous study were used to select risk factors for human leptospirosis in an endemic neighborhood of Curitiba, Brazil. Neighborhood census sectors were divided in high- and low-risk areas using 12 selected factors: flood area, water supply, water course, green coverage, afforestation, sewage network, open sewage, open garbage, garbage collection, dumpster, pavement, and rodent complaints. In addition, rats were captured in pre-determined sites from January through March 2017, euthanized, and individual kidneys samples sent for molecular diagnosis. Human cases were obtained from official city records. In total, 95/112 (84.8%) census sectors were classified as low-risk to human leptospirosis. No significant statistical differences were found in human case frequencies between high and low-risk areas. Kidney samples from 17/25 (68.0%) trapped rats were positive for Leptospira spp. The main risk factors associated with rodent presence included inadequate water supply (p = 0.04), sanitary sewage (p = 0.04), unpaved streets (p = 0.04), and complaint of rodents (p = 0.04). Conclusions/Significance This study offers a new approach to score leptospirosis transmission risk, and to compare small areas and their heterogeneity in the same census sector of endemic areas. Environmental risk factors for Leptospira spp. transmission within the neighborhood were mainly due to differences in infrastructure and basic services. To the author's knowledge, this is the first study using Leptospira spp. in rats as predictor for human disease in an urban setting of a major city. Although the number of rats trapped was low, this methodology may be used as basis for early and effective interventions, focused on high risk areas for leptospirosis prior to human cases, and potentially reducing morbidity and mortality in low-income areas of urban settings.en
dc.description.affiliationSao Paulo State Univ, Sch Vet Med, Dept Vet Hyg & Publ Hlth, Sao Paulo, Brazil
dc.description.affiliationUniv Estadual Ponta Grossa, Dept Nursing & Publ Hlth, Ponta Grossa, Parana, Brazil
dc.description.affiliationUniv Sao Paulo, Sch Vet Med, Dept Prevent Vet Med & Anim Hlth, Sao Paulo, Brazil
dc.description.affiliationUniv Fed Parana, Dept Vet Med, Curitiba, Parana, Brazil
dc.description.affiliationZoonoses Surveillance Unit, Curitiba, Parana, Brazil
dc.description.affiliationUniv Fed Parana, Dept Community Hlth, Curitiba, Parana, Brazil
dc.description.affiliationPurdue Univ, Coll Vet Med, Dept Comparat Pathobiol, W Lafayette, IN 47907 USA
dc.description.affiliationUnespSao Paulo State Univ, Sch Vet Med, Dept Vet Hyg & Publ Hlth, Sao Paulo, Brazil
dc.format.extent11
dc.identifierhttp://dx.doi.org/10.1371/journal.pone.0216830
dc.identifier.citationPlos One. San Francisco: Public Library Science, v. 14, n. 5, 11 p., 2019.
dc.identifier.doi10.1371/journal.pone.0216830
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/11449/186751
dc.identifier.wosWOS:000468607400031
dc.language.isoeng
dc.publisherPublic Library Science
dc.relation.ispartofPlos One
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.titleMolecular detection of Leptospira spp. in rats as early spatial predictor for human disease in an endemic urban areaen
dc.typeArtigo
dcterms.rightsHolderPublic Library Science
dspace.entity.typePublication
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Medicina Veterinária e Zootecnia, Botucatupt
unesp.departmentHigiene Veterinária e Saúde Pública - FMVZpt

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