Fuentes M V, Sainz-Elipe S, Nieto P, Malone J B, Mas-Coma S
Department de Parasitologia, Facultat de Farmàcia, Universitat de València, Burjassot, València, Spain.
Parassitologia. 2005 Mar;47(1):151-6.
The WHO recognises Fasciola hepatica to be an important human health problem. The Andean countries of Peru, Bolivia and Chile are those most severely affected by this distomatosis, though areas of Ecuador, Colombia and Venezuela are also affected. As part of a multidisciplinary project, we present results of use of a Geographical Information Systems (GIS) forecast model to conduct an epidemiological analysis of human and animal fasciolosis in the central part of the Andes mountains. The GIS approach enabled us to develop a spatial and temporal epidemiological model to map the disease in the areas studied and to classify transmission risk into low, moderate and high risk areas so that areas requiring the implementation of control activities can be identified. Current results are available on a local scale for: (1) the northern Bolivian Altiplano, (2) Puno in the Peruvian Altiplano, (3) the Cajamarca and Mantaro Peruvian valleys, and (4) the Ecuadorian provinces of Azuay, Cotopaxi and Imbabura. Analysis of results demonstrated the validity of a forecast model that combines use of climatic data to calculate of forecast indices with remote sensing data, through the classification of Normalized Difference Vegetation Index (NDVI) maps.
世界卫生组织认识到肝片吸虫是一个重要的人类健康问题。秘鲁、玻利维亚和智利等安第斯国家是受这种吸虫病影响最严重的国家,不过厄瓜多尔、哥伦比亚和委内瑞拉的部分地区也受到影响。作为一个多学科项目的一部分,我们展示了使用地理信息系统(GIS)预测模型对安第斯山脉中部地区人类和动物肝片吸虫病进行流行病学分析的结果。GIS方法使我们能够建立一个时空流行病学模型,以绘制所研究地区的疾病分布图,并将传播风险分为低、中、高风险区域,从而确定需要实施控制活动的区域。目前已在地方层面获得了以下地区的结果:(1)玻利维亚北部高原,(2)秘鲁高原的普诺,(3)秘鲁的卡哈马卡和曼塔罗山谷,以及(4)厄瓜多尔的阿苏艾、科托帕希和因巴布拉省。结果分析表明,通过对归一化植被指数(NDVI)地图进行分类,将气候数据用于计算预测指数与遥感数据相结合的预测模型是有效的。