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dc.contributor.CRUESPUNIVERSIDADE DE ESTADUAL DE CAMPINASpt_BR
dc.typeArtigo de periódicopt_BR
dc.titleEnvironmental Inducers Of Schistosomiasis Mansoni In Campinas, Brazil.pt_BR
dc.contributor.authorAnaruma Filho, Franciscopt_BR
dc.contributor.authorSant'Ana, João Morenopt_BR
dc.contributor.authordos Santos, Rozely Ferreirapt_BR
dc.contributor.authorCastagna, Cláudio Luizpt_BR
unicamp.authorFrancisco Anaruma Filho, Laboratory of Environmental Planning, Department of Water Resources, Faculdade de Engenharia Civil, Arquitetura e Urbanismo, Universidade Estadual de Campinas, UNICAMP, Campinas, Brazil. fanaruma@fec.unicamp.brpt_BR
unicamp.author.externalJoão Moreno Sant'Ana,pt
unicamp.author.externalRozely Ferreira dos Santos,pt
unicamp.author.externalCláudio Luiz Castagna,pt
dc.subjectAnimalspt_BR
dc.subjectBrazilpt_BR
dc.subjectDisease Outbreakspt_BR
dc.subjectEnvironmentpt_BR
dc.subjectGeographic Information Systemspt_BR
dc.subjectGeographypt_BR
dc.subjectHealth Surveyspt_BR
dc.subjectHumanspt_BR
dc.subjectModels, Statisticalpt_BR
dc.subjectPrevalencept_BR
dc.subjectRisk Assessmentpt_BR
dc.subjectSchistosoma Mansonipt_BR
dc.subjectSchistosomiasispt_BR
dc.description.abstractHuman occupation/activity in the suburbs of the large cities in Brazil, together with high social vulnerability associated with poor living conditions, influence the dynamics of schistosomiasis mansoni as well as several other emerging and re-emerging diseases. Previous notification data surveys for Campinas, São Paulo state, Brazil, carried out by the Information System for Notification Disease, show that there are distinct prevalence differences across healthcare districts of the city. This paper supports the hypothesis that the distribution of schistosomiasis is not random and that the centralized location of cases are linked to human behaviour, in particular to human activities that interfere with basic landscape structure. This paper analyzes the spatial patterns of the parasitic worm Schistosoma mansoni and its intermediate host Biomphalaria comparing disease prevalence with natural conditions and the current pattern of territory occupation by the population. The spatial and hierarchical distribution of factors related to the environmental conditions and land use that indicate the risk for schistosomiasis has been surveyed. It was found that landscape characteristics define the areas at risk for this endemic disease and, as a result, a risk map comprising different risk classes was established. This risk map highlights the regions prone to become new foci for infection or that serves to maintain an existing focus. The research approach used attempts to introduce geotechnology, i.e. a social application in which better knowledge about these foci, designated endemic hot spots can assist preventive public intervention measures in a way that is inexpensive and easy to handle.en
dc.relation.ispartofGeospatial Healthpt_BR
dc.relation.ispartofabbreviationGeospat Healthpt_BR
dc.date.issued2010-Novpt_BR
dc.identifier.citationGeospatial Health. v. 5, n. 1, p. 79-91, 2010-Nov.pt_BR
dc.language.isoengpt_BR
dc.description.volume5pt_BR
dc.description.firstpage79-91pt_BR
dc.rightsabertopt_BR
dc.rights.holderpt_BR
dc.sourcePubMedpt_BR
dc.identifier.issn1970-7096pt_BR
dc.identifier.doi10.4081/gh.2010.189pt_BR
dc.identifier.urlhttp://www.ncbi.nlm.nih.gov/pubmed/21080323pt_BR
dc.date.available2015-11-27T13:18:22Z-
dc.date.accessioned2015-11-27T13:18:22Z-
dc.description.provenanceMade available in DSpace on 2015-11-27T13:18:22Z (GMT). No. of bitstreams: 1 pmed_21080323.pdf: 3084897 bytes, checksum: 4a5a840df4d6385e88d97bbcad089de5 (MD5) Previous issue date: 2010en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/199098-
dc.identifier.idPubmed21080323pt_BR
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