An example of decision support for trypanosomiasis control using a geographical information system in eastern Zambia.
An example of decision support for trypanosomiasis control using a geographical information system in eastern Zambia.
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赞比亚东部利用地理信息系统为锥虫病控制提供决策支持的示例。
DOI：
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发表时间：
2002
影响因子：
5.7
通讯作者：
B. Williams
中科院分区：
文献类型：
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作者：
T. Robinson;R. S. Harris;J. Hopkins;B. Williams
在许多非洲国家，用于控制采采蝇传播的锥虫病的政府资源和捐助者援助都在减少，因此越来越需要确定哪些领域的干预措施最有可能在技术、经济、社会和环境方面具有可持续性。这样，活动就可以有重点，以便从有限的资源中获得最大的效益。我们描述了一个基于地理信息系统的决策支持框架，以确定在赞比亚东部的共同飞带的舌蝇和锥虫控制的高度优先领域。为六个环境变量生成了数字覆盖率：（1）牛密度，（2）人口密度，（3）土地指定，（4）相对耕地潜力，（5）作物使用强度和（6）与现有控制操作的接近程度。采采蝇在该地区的分布是通过对已知存在和不存在的地区以及一系列环境数据进行多变量（最大似然）分析来预测的。在该地区工作的经验丰富的赞比亚兽医和生物学家为输入变量确定了标准权重，并将数据纳入地理信息系统，利用加权线性组合确定锥虫控制地区的优先次序。这项工作的结果和估计所涉及的错误进行了讨论。
In many African countries where both Government resources and donor aid for the control of tsetse-transmitted trypanosomiasis are declining, there is an increasing need to identify areas where intervention is most likely to be technically, economically, socially and environmentally sustainable. Activities then can be focused so that the maximum benefits are obtained from limited resources. We describe a decision-support framework based on a geographical information system to identify areas of high priority for the control of tsetse and trypanosomiasis in the common fly belt of eastern Zambia. Digital coverages were generated for six environmental variables: (1) cattle density, (2) human density, (3) land designation, (4) relative arable potential, (5) crop-use intensity and (6) proximity to existing control operations. The distribution of tsetse in the area was predicted using a multivariate (maximum likelihood) analysis of areas of known presence and absence and a series of environmental data. Experienced Zambian veterinarians and biologists working in the region established criteria weights for the input variables and the data were integrated in a geographical information system (GIS), using weighted linear combinations to prioritize areas for trypanosomiasis control. The results of this exercise and estimates of the errors involved are discussed.