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dc.contributor.authorRollemberg, Carla Virginia Vieira-
dc.contributor.authorSilva, Marilia Matos Bezerra Lemos-
dc.contributor.authorRollemberg, Karla C.-
dc.contributor.authorAmorim, Fábio Jorge Ramalho de-
dc.contributor.authorLessa, Nayanna Mendes Neves-
dc.contributor.authorSantos, Marcos D. S.-
dc.contributor.authorSouza, Acacia Maria Barros-
dc.contributor.authorMelo, Enaldo Vieira de-
dc.contributor.authorAlmeida, Roque Pacheco de-
dc.contributor.authorSilva, Angela Maria da-
dc.contributor.authorWerneck, Guilherme Loureiro-
dc.contributor.authorSantos, Mario Adriano dos-
dc.contributor.authorAlmeida, José Antonio Pacheco de-
dc.contributor.authorJesus, Amélia Maria Ribeiro de-
dc.date.accessioned2026-07-06T18:33:18Z-
dc.date.available2026-07-06T18:33:18Z-
dc.date.issued2015-
dc.identifier.citationROLLEMBERG, C. V. V. et al. Predicting frequency distribution and influence of sociodemographic and behavioral risk factors of Schistosoma mansoni infection and analysis of co-infection with intestinal parasites. Geospatial Health, Napoli, v. 10, n. 1, p. 13–19, 2015. Disponível em: https://www.geospatialhealth.net/index.php/gh/article/view/303. Acesso em: 28 abr. 2026.pt_BR
dc.identifier.issn1970-7096-
dc.identifier.urihttps://ri.ufs.br/jspui/handle/riufs/25118-
dc.languageengpt_BR
dc.publisherUniversità degli studi Federico II, Dipartimento di patologia e sanità animalept_BR
dc.relation.ispartofGeospatial Healthpt_BR
dc.subjectSchistosomiasiseng
dc.subjectSchistosoma mansonieng
dc.subjectSoil-transmitted helminthseng
dc.subjectIntestinal parasiteseng
dc.subjectRisk factorseng
dc.titlePredicting frequency distribution and influence of sociodemographic and behavioral risk factors of Schistosoma mansoni infection and analysis of co-infection with intestinal parasitespt_BR
dc.typeArtigopt_BR
dc.identifier.licenseCreative Commons Atribuição-NãoComercial 4.0 Internacional (CC BY-NC 4.0)pt_BR
dc.description.resumoGeospatial analysis was used to study the epidemiology ofSchistosoma mansoni, intestinal parasites and co-infections in an area (Ilha das Flores) in Sergipe, Brazil. We collected individually georefer-enced sociodemographic, behavioral and parasitological data from 500 subjects, analyzed them by conventional statistics, and produced riskmaps by Kernel estimation. The prevalence rates found were: S. man-soni(24.0%), Trichuris trichiura(54.8%), Ascaris lumbricoides (49.2%), Hookworm (17.6%) and Entamoeba histolytica (7.0%). Only 59/500 (11.8%) individuals did not present any of these infections, whereas 279/500 (55.8%) were simultaneously infected by three ormore parasites. We observed associations between S. mansoni infection and various variables such as male gender, being rice farmer orfisherman, low educational level, low income, water contact and drink-ing untreated water. The Kernel estimator indicated that high-riskareas coincide with the poorest regions of the villages as well as withthe part of the villages without an adequate sewage system. We alsonoted associations between both A. lumbricoidesand hookworm infec-tions with low education and low income. A. lumbricoides infection and T. trichiura infection were both associated with drinking untreated water and residential open-air sewage. These findings call for anintegrated approach to effectively control multiple parasitic infectionspt_BR
dc.description.localNapolipt_BR
dc.identifier.doihttps://doi.org/10.4081/gh.2015.303-
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