Jayakumar Duraisamy, Kavitha Sivakumar, Rathinam Sivakumar, Vasanthi Gnanam
Division of Geo-Informatics, Department of Physics, Lady Doak College, Madurai, 625 002, India.
Geospat Health. 2009 Nov;4(1):55-63. doi: 10.4081/gh.2009.210.
There is evidence that a specific type of allergic conjunctive-uveal granuloma reported from South India could be due to infection by a trematode parasite. In these patients, the histopathological examination of the eye reveals a zonal granulomatous inflammation with purulent material including structures with a distinct double-layer tegument, typical for a trematode worm. To investigate this further, medical records describing such cases in the Pudukkottai district, Tamil Nadu State, India, covering the period 2001-2005, were collected. Since trematodes require a snail intermediate host for completing the life cycle, ponds frequently used for bathing in the area were inspected to identify a possible culprit. The hypothesis that ponds with snail habitats could be the source of infection was supported by the finding of a positive correlation between the geographical distribution of patients' residencies and the location of such ponds. Geographic information systems were used to study the spatial distribution of ponds and patients, while satellite- based remote sensing was applied to attempt finding a parameter characteristic for ponds with snail habitats that could facilitate risk-identification over larger areas. It was found that ponds carrying risk could be differentiated from others through analysis of their spectral surface properties. This pond classification approach, confirmed by field visits, could thus become a useful tool for the location of snail habitats constituting risk as predicted.
有证据表明,印度南部报告的一种特定类型的过敏性结膜 - 葡萄膜肉芽肿可能是由吸虫寄生虫感染引起的。在这些患者中,眼部的组织病理学检查显示出带状肉芽肿性炎症,伴有脓性物质,其中包括具有独特双层外皮的结构,这是吸虫的典型特征。为了进一步研究这一问题,收集了印度泰米尔纳德邦普杜科泰地区2001年至2005年期间描述此类病例的医疗记录。由于吸虫需要蜗牛作为中间宿主来完成生命周期,因此对该地区经常用于沐浴的池塘进行了检查,以确定可能的病原体。患者居住地的地理分布与此类池塘位置之间存在正相关这一发现支持了这样的假设,即有蜗牛栖息地的池塘可能是感染源。利用地理信息系统研究池塘和患者的空间分布,同时应用基于卫星的遥感技术试图找到具有蜗牛栖息地的池塘的特征参数,以便在更大区域内进行风险识别。结果发现,通过分析池塘的光谱表面特性,可以将有风险的池塘与其他池塘区分开来。经实地考察证实,这种池塘分类方法因此可能成为一种有用的工具,用于确定如预测的构成风险的蜗牛栖息地位置。