Delimitation of lymphatic filariasis transmission risk areas: a geo-environmental approach.

Filaria journal Pub Date : 2006-11-09 DOI:10.1186/1475-2883-5-12

Shanmugavelu Sabesan, Hari Kishan K Raju, AdiNarayanan Srividya, Pradeep Kumar Das

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引用次数: 39

Abstract

Background: The Global Programme to Eliminate Lymphatic Filariasis (GPELF) depends upon Mass Drug Administration (MDA) to interrupt transmission. Therefore, delimitation of transmission risk areas is an important step, and hence we attempted to define a geo-environmental risk model (GERM) for determining the areas of potential transmission of lymphatic filariasis.

Methods: A range of geo-environmental variables has been selected, and customized on GIS platform to develop GERM for identifying the areas of filariasis transmission in terms of "risk" and "non-risk". The model was validated through a 'ground truth study' following standard procedure using GIS tools for sampling and Immuno-chromotographic Test (ICT) for screening the individuals.

Results: A map for filariasis transmission was created and stratified into different spatial entities, "risk' and "non-risk", depending on Filariasis Transmission Risk Index (FTRI). The model estimation corroborated well with the ground (observed) data.

Conclusion: The geo-environmental risk model developed on GIS platform is useful for spatial delimitation purpose on a macro scale.

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划定淋巴丝虫病传播危险区:地理环境方法。

背景:全球消除淋巴丝虫病规划(GPELF)依靠大规模药物管理(MDA)来阻断传播。因此，划定传播风险区域是一个重要步骤，因此我们试图定义一个地质环境风险模型(GERM)来确定淋巴丝虫病的潜在传播区域。方法:选择一系列地理环境变量，并在GIS平台上进行定制，开发GERM，以确定丝虫病传播的“风险”和“非风险”区域。该模型通过“地面真相研究”进行验证，该研究遵循标准程序，使用GIS工具进行采样，并使用免疫色谱测试(ICT)筛选个体。结果:根据丝虫病传播风险指数(FTRI)，绘制了丝虫病传播地图，并将其划分为“风险”和“非风险”空间实体。模型估计与地面(观测)资料吻合良好。结论:在GIS平台上建立的地质环境风险模型在宏观尺度上可用于空间划界。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Filaria journal

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