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The Geographic Information System applied to study schistosomiasis in Pernambuco

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 s...

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Autores principales: Barbosa, Verônica Santos, Loyo, Rodrigo Moraes, Guimarães, Ricardo José de Paula Souza e, Barbosa, Constança Simões
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Faculdade de Saúde Pública da Universidade de São Paulo 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5697920/
https://www.ncbi.nlm.nih.gov/pubmed/29166439
http://dx.doi.org/10.11606/S1518-8787.2017051000069
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author Barbosa, Verônica Santos
Loyo, Rodrigo Moraes
Guimarães, Ricardo José de Paula Souza e
Barbosa, Constança Simões
author_facet Barbosa, Verônica Santos
Loyo, Rodrigo Moraes
Guimarães, Ricardo José de Paula Souza e
Barbosa, Constança Simões
author_sort Barbosa, Verônica Santos
collection PubMed
description 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.
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spelling pubmed-56979202017-11-30 The Geographic Information System applied to study schistosomiasis in Pernambuco Barbosa, Verônica Santos Loyo, Rodrigo Moraes Guimarães, Ricardo José de Paula Souza e Barbosa, Constança Simões Rev Saude Publica Original Articles 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. Faculdade de Saúde Pública da Universidade de São Paulo 2017-11-13 /pmc/articles/PMC5697920/ /pubmed/29166439 http://dx.doi.org/10.11606/S1518-8787.2017051000069 Text en https://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Barbosa, Verônica Santos
Loyo, Rodrigo Moraes
Guimarães, Ricardo José de Paula Souza e
Barbosa, Constança Simões
The Geographic Information System applied to study schistosomiasis in Pernambuco
title The Geographic Information System applied to study schistosomiasis in Pernambuco
title_full The Geographic Information System applied to study schistosomiasis in Pernambuco
title_fullStr The Geographic Information System applied to study schistosomiasis in Pernambuco
title_full_unstemmed The Geographic Information System applied to study schistosomiasis in Pernambuco
title_short The Geographic Information System applied to study schistosomiasis in Pernambuco
title_sort geographic information system applied to study schistosomiasis in pernambuco
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5697920/
https://www.ncbi.nlm.nih.gov/pubmed/29166439
http://dx.doi.org/10.11606/S1518-8787.2017051000069
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