曹亚军, 朱玉贵, 田纯学. 应用TOPSIS法综合评价传染病网络直报工作质量[J]. 疾病监测, 2009, 24(8): 629-631. DOI: 10.3784/j.issn.1003-9961-2009.08.026
引用本文: 曹亚军, 朱玉贵, 田纯学. 应用TOPSIS法综合评价传染病网络直报工作质量[J]. 疾病监测, 2009, 24(8): 629-631. DOI: 10.3784/j.issn.1003-9961-2009.08.026
CAO Ya-jun, ZHU Yu-gui, TIAN Chun-xue. Evaluation of network direct reporting of communicable disease by TOPSIS method[J]. Disease Surveillance, 2009, 24(8): 629-631. DOI: 10.3784/j.issn.1003-9961-2009.08.026
Citation: CAO Ya-jun, ZHU Yu-gui, TIAN Chun-xue. Evaluation of network direct reporting of communicable disease by TOPSIS method[J]. Disease Surveillance, 2009, 24(8): 629-631. DOI: 10.3784/j.issn.1003-9961-2009.08.026

应用TOPSIS法综合评价传染病网络直报工作质量

Evaluation of network direct reporting of communicable disease by TOPSIS method

  • 摘要: 目的传染病网络直报工作质量是一个多层次、多目标的系统工程。如何评价不同时空的传染病网络直报工作质量,需要寻求一种科学简便的综合评价方法。方法采用TOPSIS法,对宜昌市2006年各县、市(以下简称A、B、C、D、E、F、G、H、I、J)传染病网络直报工作的及时报告率、及时审核率、传染病漏报率和传染病报告卡填写完整率4项指标进行综合评价。结果经TOPSIS法对10个地区4项指标进行的综合评价,所得1~10位由好到差的排序结果依次为B、D、G、E、A、F、C、I、H、J;采用秩和比法由好到差排序为B、D、I、G、C、A、F、E、J、H。结论人们对传染病网络直报工作质量的评价多以各种单项指标的高低分别排名,往往失去很多信息,不能全面反映总体情况。而TOPSIS法对原始数据进行同趋势和归一化处理,消除了不同量纲的影响,充分利用原始数据信息,能定量反映不同评价单元的优劣程度。TOPSIS法借助秩和比法进一歩扩展后,将定性与定量融为一体,使评判结果更为直观、准确。

     

    Abstract: ObjectiveTo find out a simple and rational method to evaluate the quality of network direct reporting of communicable disease. MethodsTOPSIS method was used to evaluate the timely reporting rate, timely verifying rate, underreporting rate and completeness rate of reporting card in network direct reporting of communicable disease in 2006 in all the cities and counties of Yichang Municipality (These cities and counties are referred as A, B, C, D, E, F, G, H, I, J areas). ResultsAfter the evaluation of the 4 indicators by TOPSIS method, the result indicated that B area ranked first, followed by D, G, E, A, F, C, I, H and J areas. After further analysis by rank-sun ratio method, the result indicated that the reporting quality in B and D areas were at high level, the quality in I, G, C, A, F and E areas were at moderate level, and the quality in J and H areas were at low level. ConclusionEvaluation of the quality of network direct reporting of communicable disease according to single indicator may result in the loss of information and incomplete analysis. TOPSIS method can treat the initial data in a tendency and normalization way, which could wipe out the influence of different dimensions, make the full use of initial data and reflect the good and bad of the unit evaluated in a quantitation way. By further analysis of rank-sun ratio method, TOPSIS method can integrate the quantitation analysis with qualitation analysis, which could make the results more direct and accurate.

     

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