余峰, 金宝芳, 许慧琳. 2007-2009年上海市闵行区预防接种不良反应监测分析[J]. 疾病监测, 2011, 26(9): 698-702.
引用本文: 余峰, 金宝芳, 许慧琳. 2007-2009年上海市闵行区预防接种不良反应监测分析[J]. 疾病监测, 2011, 26(9): 698-702.
YU Feng, JIN Bao-fang, XU Hui-lin. Surveillance of adverse events following immunization in Minhang district in Shanghai, 2007-2009[J]. Disease Surveillance, 2011, 26(9): 698-702.
Citation: YU Feng, JIN Bao-fang, XU Hui-lin. Surveillance of adverse events following immunization in Minhang district in Shanghai, 2007-2009[J]. Disease Surveillance, 2011, 26(9): 698-702.

2007-2009年上海市闵行区预防接种不良反应监测分析

Surveillance of adverse events following immunization in Minhang district in Shanghai, 2007-2009

  • 摘要: 目的 分析上海市闵行区2007-2009年预防接种不良反应监测系统报告的不良反应特征。 方法 利用疑似预防接种异常反应(AEFI)监测系统收集到的所有数据采用描述性方法对相关指标进行流行病学分析。 结果 闵行区2007-2009年AEFI的平均报告率为91.67/10万;病毒类疫苗、细菌类疫苗、非疫苗制品AEFI报告发生率依次为31.75/10万、212.04/10万和73.40/10万;各街道(镇)AEFI报告率存在较大的差异,龙柏街道开始主动监测模式比较早,不良反应报告率明显高于其他地区;AEFI的临床分类以发热和轻微局部反应为主,占总AEFI报告数的63.47%及32.18%,2007-2009年发热及局部红肿、硬结总的发生率分别为58.03/10万及29.42/10万。 结论 闵行区AEFI报告率高于相关文献报告的水平,需进一步探讨AEFI主动监测模式,提高疫苗安全性监测的敏感性,为甄别各产品特性差异提供更全面的信息。

     

    Abstract: Objective To analyze the characteristics of the adverse events following immunization (AEFI) in Minhang from 2007 to 2009 reported through suspected adverse events following immunization surveillance system. Methods Descriptive epidemiological analysis was conducted on the surveillance data of AEFI. Results During this period, the average reporting rate of the AEFI was 91.67/lakh in Minhang. AEFI rates of viral, bacterial vaccines and non-vaccine product were 31.75/lakh, 212.04/lakh and 73.40/lakh, respectively. The Reported AEFI rates varied with community, The reported AEFI rate in Longbai street community, where the active surveillance of AEFI started early, was higher than other communities. Most AEFI were low-grade fever and mild local reaction, accounting for 63.47% and 32.18% of the total respectively. The reported rates of fever and local red swelling/induration were 58.03/lakh and 29.42/lakh, respectively. Conclusion The reported AEFI rate in this study was higher than others. It is necessary to explore the model of AEFI active surveillance, improve the sensitivity of vaccine safety surveillance in order to provide more information for safe vaccination.

     

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