Identification of key areas for Aedes aegypti control through geoprocessing in Nova Iguaçu, Rio de Janeiro State, Brazil.
This study discusses the use of geoprocessing to identify key areas for Aedes aegypti control, based on the infestation index obtained in the Aedes aegypti Infestation Index Rapid Survey (LIRAa). The study was conducted in November 2004 in Nova Iguaçu, Rio de Janeiro State, Brazil. The results were analyzed on two scales, neighborhoods and blocks, with the building infestation index assigned to the neighborhood polygons and the Breteau index to the blocks. Kernel estimation was used in the spatial pattern analysis. The Breteau index spatial distribution showed five areas with high and medium density of positive Ae. aegypti breeding sites, highlighting small block clusters with high larval density, strategic for vector control. Based on the results, we recommend this method for dengue vector surveillance.
Lagrotta
Marcos Thadeu Fernandes
MT
Coordenadoria de Vigilância em Saúde, Secretaria Municipal de Saúde de Mesquita, Mesquita, Brasil. marcos.lagrotta@superig.com.br
Silva
Wellington da Costa
Wda C
Souza-Santos
Reinaldo
R
D000330:Aedes / Q000254:growth & development / Q000502:physiology*; D000818:Animals; D001938:Brazil; D001947:Breeding; D003715:Dengue / Q000517:prevention & control* / Q000635:transmission; D003716:Dengue Virus / Q000302:isolation & purification; D017753:Ecosystem; D004772:Entomology / Q000379:methods; D006801:Humans; D007303:Insect Vectors / Q000502:physiology*; D007814:Larva / Q000502:physiology; D009032:Mosquito Control / Q000379:methods*; D011156:Population Density; D011159:Population Surveillance / Q000379:methods; D012111:Residence Characteristics; D018401:Sample Size; D014505:Urban Population