Spatial Distribution of Schistosomiasis Foci on Itamaracá Island, Pernambuco, Brazil

• Published in: Memórias do Instituto Oswaldo Cruz 2004-01, Vol.99 (5 Suppl 1), p.79-83
• Main Authors: Barbosa, C S, Araújo, K C, Antunes, L, Favre, T, Pieri, O S
• Format: Article
• Language: English
• Subjects: Animals; Biomphalaria - parasitology; Brasil; Brazil - epidemiology; Global Positioning System; Humans; PARASITOLOGY; Pernambuco; Risk Factors; Schistosoma mansoni - isolation & purification; schistosomiasis; schistosomiasis - spatial distribution - vectors control - Global Positioning System - Pernambuco - Brasil; Schistosomiasis mansoni - epidemiology; Schistosomiasis mansoni - transmission; spatial distribution; TROPICAL MEDICINE; Urban Population; vectors control
• ISSN: 1678-8060; 0074-0276; 0074-0276; 1678-8060
• DOI: 10.1590/s0074-02762004000900014

Acute cases of schistosomiasis have been found on the coastal area of Pernambuco, Brazil, due to environmental disturbances and disorderly occupation of the urban areas. This study identifies and spatially marks the main foci of the snail host species, Biomphalaria glabrata on Itamaracá Island. The chaotic occupation of the beach resorts has favoured the emergence of transmission foci, thus exposing residents and tourists to the risk of infection. A database covering five years of epidemiological investigation on snails infected by Schistosoma mansoni in the island was produced with information from the geographic positioning of the foci, number of snails collected, number of snails tested positive, and their infection rate. The spatial position of the foci were recorded through the Global Positioning System (GPS), and the geographical coordinates were imported by AutoCad. The software packages ArcView and Spring were used for data processing and spatial analysis. AutoCad 2000 was used to plot the pairs of coordinates obtained from GPS. Between 1998 and 2002 5009 snails, of which 12.2% were positive for S. mansoni, were collected in Forte Beach. A total of 27 foci and areas of environmental risk were identified and spatially analyzed allowing the identification of the areas exposed to varying degrees of risk.