卫生相关事件数据时间聚集性的综合分析与判定

发布时间：2018-04-15 03:19

本文选题：时间聚集性 + 集中度　；参考：《中国卫生统计》2017年02期

【摘要】：目的探讨卫生相关事件数据时间聚集性的综合分析与判定。方法应用集中度、负二项分布、聚类分析、圆分布四种方法对河南省某县狂犬病门诊就诊人群月分布数据进行分析。结果集中度法M=0.54,说明就诊人群具有较强季节性;负二项分布P=0.3119,可认为就诊人群时间分布以天为单位具有时间聚集性;聚类分析显示春夏季是就诊人群集中季节,3-6月为就诊高峰,5月就诊人数最多;圆分布法计算结果显示日就诊高峰在5月8日。结论集中度、负二项分布、聚类分析、圆分布等方法可用于卫生相关事件数据时间聚集性的综合分析与判定。
[Abstract]:Objective to explore the comprehensive analysis and judgment of time aggregation of health related event data.Methods the monthly distribution data of rabies outpatients in a county of Henan Province were analyzed by four methods: concentration, negative binomial distribution, cluster analysis and circular distribution.Results the concentration degree method (MU 0.54) showed that the population had a strong seasonality, the negative binomial distribution was 0.3119. it could be concluded that the time distribution of the visiting population was temporal aggregation in the unit of days.Cluster analysis showed that the peak was in March and June and the highest in May, and the round distribution method showed that the peak of daily visit was on May 8.Conclusion the methods of concentration, negative binomial distribution, cluster analysis and circular distribution can be used to analyze and judge the temporal aggregation of health-related event data.
【作者单位】：河南省疾病预防控制中心传染病预防控制所;河南省桐柏县疾病预防控制中心;
【基金】：河南省医学科技攻关计划项目(201503193)
【分类号】：R181.3

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