李娟, 李晓梅, 张朱佳子, 赵丹, 周涛, 张合润, 罗明, 龚成, 李仁清, 李爱华, 卢莉, 吴疆, 庞星火. 2004-2015年北京市急性弛缓性麻痹病例疾病谱变化趋势[J]. 疾病监测, 2016, 31(11): 937-940. DOI: 10.3784/j.issn.1003-9961.2016.11.011
引用本文: 李娟, 李晓梅, 张朱佳子, 赵丹, 周涛, 张合润, 罗明, 龚成, 李仁清, 李爱华, 卢莉, 吴疆, 庞星火. 2004-2015年北京市急性弛缓性麻痹病例疾病谱变化趋势[J]. 疾病监测, 2016, 31(11): 937-940. DOI: 10.3784/j.issn.1003-9961.2016.11.011
LI Juan, LI Xiao-mei, ZHANG Zhu-jiazi, ZHAO Dan, ZHOU Tao, ZHANG He-run, LUO Ming, GONG Cheng, LI Ren-qing, LI Ai-hua, LU Li, WU Jiang, PANG Xing-huo. Analysis on disease spectrum of acute flaccid paralysis in Beijing,2004-2015[J]. Disease Surveillance, 2016, 31(11): 937-940. DOI: 10.3784/j.issn.1003-9961.2016.11.011
Citation: LI Juan, LI Xiao-mei, ZHANG Zhu-jiazi, ZHAO Dan, ZHOU Tao, ZHANG He-run, LUO Ming, GONG Cheng, LI Ren-qing, LI Ai-hua, LU Li, WU Jiang, PANG Xing-huo. Analysis on disease spectrum of acute flaccid paralysis in Beijing,2004-2015[J]. Disease Surveillance, 2016, 31(11): 937-940. DOI: 10.3784/j.issn.1003-9961.2016.11.011

2004-2015年北京市急性弛缓性麻痹病例疾病谱变化趋势

Analysis on disease spectrum of acute flaccid paralysis in Beijing,2004-2015

  • 摘要: 目的 分析北京市2004-2015年急性弛缓性麻痹(AFP)病例的疾病谱特征和变化趋势,为进一步指导AFP病例的监测工作提供科学依据。方法 利用2004-2015年北京市AFP病例监测资料,将12年平均分为三个时间段,采用描述流行病学方法分析AFP病例疾病谱的分布特征和变化趋势。结果 2004-2015年北京市AFP病例报告发病率在1.26/10万~3.80/10万之间,临床诊断包括45种疾病,顺位前20名的疾病占所有病例数的87.05%;三个时间段期间,疾病谱顺位发生了一定变化,6种疾病一直居顺位前10名,7种疾病顺位上升至前10名,3种疾病顺位下降至10名外。结论 可根据AFP病例疾病谱的变化特征,扩充检索疾病名称和关键词的范围,指导AFP病例的报告工作。

     

    Abstract: Objective To understand the changes of disease spectrum of acute flaccid paralysis (AFP)in Beijing during 2004-2015. Methods Descriptive epidemiological analysis was conducted by using the AFP cases surveillance data in Beijing during this period. Results The reported non-polio AFP incidence in children under 15 years old ranged from 1.26/100 000 to 3.80/100 000.The clinical diagnosis of AFP cases included 45 diseases. The top 20 diseases caused 87.05% of all the AFP cases. There was a change in disease spectrum during this periods. Six diseases were always ranked in the top 10 diseases, 7 diseases were included in the top 10 diseases and 3 diseases were excluded from the top 10 diseases during the three 4 years periods (2004-2007,2008-2011,2012-2015). Conclusion In the future active AFP surveillance, more AFP related diseases should be considered and more key words can be used in related retrieval.

     

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