Literature DB >> 9257969

Development and validation of a satellites based geographic information system (GIS) model for epidemiology of Schistosoma risk assessment on snail level in Kafr El-Sheikh Governorate.

M S Abdel-Rahman1, M M el-Bahy, N M el-Bahy, J B Malone.   

Abstract

The aim of the present study was to test the accuracy of Advanced Very High Resolution Radiometer (AVHRR) satellite derived temperature difference (dT) maps as a guide for the suitability of the environment for local snail hosts and Schistosoma development-transmission at the village level. The study provided field validation data from 13 villages in Kafr El Sheikh in the Nile Delta that sites present in wet zones of low dT value have more abundant snail populations than that present in the drier zones with high dT values. Results suggest that lower dT values were associated with wetter hydrologic regimes related to the level of underground water table and that this is reflected in the abundance of snail populations and Schistosoma snail infection rates at the village level. Water quality parameters on pH salinity and dissolved oxygen were not correlated with presence of Schistosoma infected snails. Results indicate that abundance of snails and S. mansoni prevalence are related to thermal-hydrology domains associated with surface water, that habitat suitability is related to depth to water table and that regional hydrology characteristics that affect snail host habitat suitability (ie. wet, moist, dry or very dry) can be evaluated using AVHRR dT maps.

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Year:  1997        PMID: 9257969

Source DB:  PubMed          Journal:  J Egypt Soc Parasitol        ISSN: 1110-0583


  2 in total

Review 1.  Mapping Soil Transmitted Helminths and Schistosomiasis under Uncertainty: A Systematic Review and Critical Appraisal of Evidence.

Authors:  Andrea L Araujo Navas; Nicholas A S Hamm; Ricardo J Soares Magalhães; Alfred Stein
Journal:  PLoS Negl Trop Dis       Date:  2016-12-22

2.  A Rapid Monitoring and Evaluation Method of Schistosomiasis Based on Spatial Information Technology.

Authors:  Yong Wang; Dafang Zhuang
Journal:  Int J Environ Res Public Health       Date:  2015-12-12       Impact factor: 3.390

  2 in total

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