Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/199098
Type: Artigo de periódico
Title: Environmental Inducers Of Schistosomiasis Mansoni In Campinas, Brazil.
Author: Anaruma Filho, Francisco
Sant'Ana, João Moreno
dos Santos, Rozely Ferreira
Castagna, Cláudio Luiz
Abstract: Human 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.
Subject: Animals
Brazil
Disease Outbreaks
Environment
Geographic Information Systems
Geography
Health Surveys
Humans
Models, Statistical
Prevalence
Risk Assessment
Schistosoma Mansoni
Schistosomiasis
Citation: Geospatial Health. v. 5, n. 1, p. 79-91, 2010-Nov.
Rights: aberto
Identifier DOI: 10.4081/gh.2010.189
Address: http://www.ncbi.nlm.nih.gov/pubmed/21080323
Date Issue: 2010
Appears in Collections:Unicamp - Artigos e Outros Documentos

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