Use of satellite remote sensing and geographic information systems to model the distribution and abundance of snail intermediate hosts in Africa:: a preliminary model for Biomphalaria pfeifferi in Ethiopia
Use of satellite remote sensing and geographic information systems to model the distribution and abundance of snail intermediate hosts in Africa:: a preliminary model for Biomphalaria pfeifferi in Ethiopia
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DOI：
10.1016/s0001-706x(01)00104-8
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发表时间：
2001-04-27
期刊：
影响因子：
2.7
通讯作者：
McCarroll, JC
中科院分区：
文献类型：
--
作者：
Kristensen, TK;Malone, JB;McCarroll, JC
血吸虫病螺源性疾病的地理信息系统风险模型和片形吸虫属（Fasciola spp.）最近根据气候和卫星检索的关于温度和植被覆盖的数据制定了一套气候和植被监测系统。通过使用这些模型，可以描述植被指数（归一化植被指数（NDVI）），地表温度（Tmax）和疾病流行之间的关系，但很少提到相应的中间宿主蜗牛的分布。中间宿主蜗牛的存在是决定该疾病在撒哈拉以南非洲地区分布的一个kev因素，良好的蜗牛分布模式可能反映血吸虫病流行区。在本分析中，它表明，蜗牛分布数据对应于血吸虫病流行率数据的预测模型的基础上的归一化植被指数和Tmax数据来自高级甚高分辨率辐射计（AVHRR）板载的国家海洋和大气管理局卫星系列。最佳拟合模型包括125 - 145的NDVI值和10-32摄氏度的T，数据范围。该模型包括92.3%，90.4%和94.6%的阳性螺样点在GIS查询覆盖面积提取的年度，旱季和雨季的复合地图，分别。对于非洲的其他地点，其他归一化差异植被指数和最大温差范围可能更合适，这取决于目前的蜗牛种类，这一问题将在进一步研究中加以审查。(C)2001 Elsevier Science B. V.保留所有权利。
Geographic information system (GIS) risk models for the snail-borne diseases caused by Schistosoma spp. and Fasciola spp. have recently been developed based on climate and satellite-retrieved data on temperature and vegetation coverage. By using these models, it was possible to describe a relationship between vegetation index (Normalized Differences Vegetation Index (NDVI)), land surface temperature (T-max) and disease prevalence, but little reference was made to the distribution of the corresponding intermediate host snail. Presence of the intermediate host snail is a kev factor determining distribution of the disease in sub-Saharan Africa and a good snail distribution mode would probably mirror the endemic area of schistosomiasis. In the present analysis, it was shown that snail distribution data corresponds with schistosomiasis prevalence data in relation to a forecast model based on NDVI and T-max data derived from the Advanced Very High Resolution Radiometer (AVHRR) onboard the National Oceanic and Atmospheric Administration satellite series. The 'best fit model included NDVI values from 125 to 145 and a T,,, data range of 10-32 degreesC. This model included 92.3, 90.4 and 94.6% of the positive snail sample sites in GIS query overlay areas extracted from annual, dry season and wet season composite maps, respectively. For other sites in Africa, other NDVI and T-max ranges may be more appropriate, depending on the species of snail present, a topic that will be examined in further studies. (C) 2001 Elsevier Science B.V. All rights reserved.