Abstract

To estimate risk areas for Ascaris lumbricoides parasitic overload, using geoprocessing and geostatistic methods of analysis. A coproparasitologic and domiciliary survey was conducted in 19 selected census districts of the state of Rio de Janeiro, Brazil. A sample of 1,664 children aged between 1 - 9 years was selected and plotted in their own home' centroid. Geostatistics techniques allowed spatial exploratory analysis, variographic study, and ordinary kriging. Student t-test, odds ratio and confidence intervals were used in the statistical analysis. A prevalence of 27.5% was found for A. lumbricoides. Household income, housewife's education level and peridomiciliary conditions were identified as significantly associated factors to the occurrence of ascariasis. An isotropic spherical semivariogram model with 150-m reach, contribution of 0.45 and nugget effect of 0.55 was employed in ordinary kriging. Peridomiciliary impact on ascariasis is confirmed by a spatial continuity of 150 m. Disease occurrence could be estimated in the study area and a risk map elaborated using ordinary kriging.

Highlights

  • A prevalence of 27.5% was found for A. lumbricoides

  • Housewife’s education level and peridomiciliary conditions were identified as significantly associated factors to the occurrence of ascariasis

  • A espécie Ascaris lumbricoides é a mais bem conhecida entre os nematódeos por ser muito comum na espécie humana

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Summary

Introduction

O presente estudo, que fez parte do Projeto de Avaliação dos Impactos do Programa de Despoluição da Baía de Guanabara Sobre as Condições de Saúde e Qualidade de Vida (Paisqua), teve como objetivo estimar áreas de risco para a ocorrência de carga parasitária produzida pelo A. lumbricoides, pela utilização de técnicas de geoprocessamento e geoestatística. Foi realizado estudo seccional para estimar a prevalência de enteroparasitoses e a carga parasitária de A. lumbricoides. Os resultados preliminares da análise da carga parasitária de A. lumbricoides foram descritos por meio de tabulações cruzadas com as variáveis disponíveis que discriminam os diversos aspectos domiciliares, peridomiciliares e socioeconômicos da região de estudo.

Results
Conclusion

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