Os Sistemas de Informação Geográfica em estudo sobre a esquistossomose em Pernambuco

• Autor(a) principal: Barbosa, Verônica Santos
• Data de Publicação: 2017
• Outros Autores: Loyo, Rodrigo Moraes, Guimarães, Ricardo José de Paula Souza e, Barbosa, Constança Simões
• Tipo de documento: Artigo
• Idioma: por; eng
• Título da fonte: Revista de Saúde Pública
• Texto Completo: https://www.revistas.usp.br/rsp/article/view/140979
• topic: Schistosomiasis; epidemiology. Biomphalaria; parasitology. Risk Factors. Geographical Localization of Risk. Geographic Information Systems; utilization.; Esquistossomose; epidemiologia. Biomphalaria; parasitologia. Fatores de Risco. Localização Geográfica de Risco. Sistemas de Informação Geográfica; utilização.

OBJECTIVE: Diagnose risk environments for schistosomiasis in coastal localities of Pernambuco using geoprocessing techniques. METHODS: A coproscopic and malacological survey were carried out in the Forte Orange and Serrambi areas. Environmental variables (temperature, salinity, pH, total dissolved solids and water fecal coliform dosage) were collected from Biomphalaria breeding sites or foci. The spatial analysis was performed using ArcGis 10.1 software, applying the kernel estimator, elevation map, and distance map. RESULTS: In Forte Orange, 4.3% of the population had S. mansoni and were found two B. glabrata and 26 B. straminea breeding sites. The breeding sites had temperatures of 25ºC to 41ºC, pH of 6.9 to 11.1, total dissolved solids between 148 and 661, and salinity of 1,000 d. In Serrambi, 4.4% of the population had S. mansoni and were found seven B. straminea and seven B. glabrata breeding sites. Breeding sites had temperatures of 24ºC to 36ºC, pH of 7.1 to 9.8, total dissolved solids between 116 and 855, and salinity of 1,000 d. The kernel estimator shows the clusters of positive patients and foci of Biomphalaria, and the digital elevation map indicates areas of rainwater concentration. The distance map shows the proximity of the snail foci with schools and health facilities. CONCLUSIONS: Geoprocessing techniques prove to be a competent tool for locating and scaling the risk areas for schistosomiasis, and can subsidize the health services control actions.