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基于熵权TOPSIS模型的中国候鸟疫病监测质量评价
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基于熵权TOPSIS模型的中国候鸟疫病监测质量评价
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Journal Article
基于熵权TOPSIS模型的中国候鸟疫病监测质量评价
2024
Overview
S858.9%X835; 候鸟疫病监测是野生动物疫病监测体系中的主要环节,为了科学评价中国候鸟疫病监测质量,以途经中国候鸟迁徙通道的3条重点区域疫病防控情况为基准,构建疫病监测防控质量评价体系,并采用熵权TOPSIS模型进行分析.结果表明:2015-2022年,中国候鸟疫病监测综合评价、监测投入和监测成效整体上呈现增加趋势,2017年之前监测成效(T)小于0.3,质量水平偏低,2017年之后质量水平达到一般标准(0.3＜T＜0.6);2015-2017年东部沿海和2015-2019年西部高山湿地区监测成效均小于0.3,质量水平偏低,其余年份质量水平一般(0.3＜T＜0.6);2015-2022年,中部湖泊水网候鸟疫病监测成效质量水平一般(0.3＜T＜0.6).在综合评价、监测投入和监测成效方面,中部湖泊水网显著大于东部沿海与西部高山湿地区(p＜0.05),但东部沿海与西部高山湿地区之间无显著性差异.本研究结合现有政策和候鸟疫病监测实际工作情况,深入分析了问题出现的原因,并提出可行性解决方案,以期为调整候鸟疫病监测防控各组分的重新分配提供科学依据.
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