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首页> 外文期刊>The American Journal of Tropical Medicine and Hygiene >Application of risk analysis and geographic information system technologies to the prevention of diarrheal diseases in Nigeria.
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Application of risk analysis and geographic information system technologies to the prevention of diarrheal diseases in Nigeria.

机译：风险分析和地理信息系统技术在尼日利亚腹泻病预防中的应用。

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Among the poor in developing countries, up to 20% of an infant's life experience may include diarrhea. This problem is spatially related to the lack of potable water at different sites. This project used risk analysis (RA) methods and geographic information system (GIS) technologies to evaluate the health impact of water source. Maps of Imo State, Nigeria were converted into digital form using ARC/INFO GIS software, and the resulting coverages included geology, hydrology, towns, and villages. A total of 11,537 diarrheal cases were reported. Thirty-nine water sources were evaluated. A computer modeling approach called probabilistic layer analysis (PLA) spatially displayed the water source at layers of geology, hydrology, population, environmental pollution, and electricity according to a color-coded five-point ranking. The water sources were categorized into A, B, and C based on the cumulative scores < 10 for A, 10-19 for B, and > 19 for C. T-test showed revealed significant differences in diarrheal disease incidence between categories A, B, and C with mean +/- SEM values of 1.612 +/- 0.325, 6.257 +/- 0.408, and 15.608 +/- 2.151, respectively. The differences were significant between categories A and B (P = 0.0000022), A and C (P = 0.0000188), and B and C (P = 0.0011348). The PLA enabled estimation of the probability of the risk of diarrheal diseases occurring at each layer and solutions to eliminate these risks.
机译：在发展中国家的穷人中，多达20％的婴儿生活经历可能包括腹泻。这个问题在空间上与不同地点缺少饮用水有关。该项目使用风险分析（RA）方法和地理信息系统（GIS）技术来评估水源对健康的影响。使用ARC / INFO GIS软件将尼日利亚Imo州的地图转换成数字形式，其覆盖范围包括地质，水文，城镇和村庄。总共报告了11537例腹泻病例。评价了39个水源。一种计算机建模方法，即概率层分析（PLA），根据颜色编码的五点排名在空间上显示了地质，水文，人口，环境污染和电力等层次的水源。根据A的累积得分<10，B的10-19和C的累积得分，将水源分为A，B和C。T检验显示，A，B类之间的腹泻病发病率存在显着差异和C，其+/- SEM平均值分别为1.612 +/- 0.325、6.257 +/- 0.408和15.608 +/- 2.151。类别A和类别B（P = 0.0000022），类别A和类别C（P = 0.0000188），类别B和类别C（P = 0.0011348）之间存在显着差异。 PLA使估计每一层发生腹泻疾病风险的可能性以及消除这些风险的解决方案成为可能。

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