The Geographic Information System applied to study schistosomiasis in Pernambuco

Autores/as

  • Verônica Santos Barbosa Fundação Oswaldo Cruz. Instituto Aggeu Magalhães Instituto Aggeu Magalhães. Departamento de Saúde Coletiva. Programa de Pós-Graduação em Saúde Coletiva
  • Rodrigo Moraes Loyo Fundação Oswaldo Cruz. Instituto Aggeu Magalhães
  • Ricardo José de Paula Souza e Guimarães Ministério da Saúde. Secretaria de Vigilância à Saúde. Instituto Evandro Chagas
  • Constança Simões Barbosa Fundação Oswaldo Cruz. Instituto Aggeu Magalhães

DOI:

https://doi.org/10.11606/S1518-8787.2017051000069

Palabras clave:

Schistosomiasis, epidemiology. Biomphalaria, parasitology. Risk Factors. Geographical Localization of Risk. Geographic Information Systems, utilization.

Resumen

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.

Publicado

2017-11-27

Número

Sección

Artigos Originais

Cómo citar

Barbosa, V. S., Loyo, R. M., Guimarães, R. J. de P. S. e, & Barbosa, C. S. (2017). The Geographic Information System applied to study schistosomiasis in Pernambuco. Revista De Saúde Pública, 51, 107. https://doi.org/10.11606/S1518-8787.2017051000069