文章基本信息

标题：Environmental inducers of schistosomiasis mansoni in Campinas, Brazil
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作者：Francisco Anaruma Filho ; João Moreno Sant’Ana ; Rozely Ferreira dos Santos 等
期刊名称：Geospatial Health
印刷版ISSN：1970-7096
出版年度：2010
卷号：5
期号：1
页码：79-91
DOI：10.4081/gh.2010.189
出版社：PAGEPress Publications
摘要：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.
关键词：schistosomiasis; risk; inducers; landscape ecology; geographical information system; Brazil.