目的 分析2008—2022年连云港市传染病自动预警特点,为进一步完善预警系统功能提供依据。方法 收集整理2008—2022年传染病自动预警系统连云港市监测数据,统计分析预警系统响应率、暴发事件阳性率等指标,评价系统运行效果。结果 2008—2022年连云港市接收预警信号12 466条,响应率100%,及时响应率为99.77%,平均响应时间为0.66 h,疑似事件阳性率为17.50%,暴发事件阳性率为0.27%。预警信号病种以手足口病、麻疹、新型冠状病毒感染为主,占79.26%;预警信号高峰为11—12月和5—6月;预警信号最多的地区为海州区、东海县;预警信号核实方式以综合分析为主;预警信号准确率为18.58%。结论 传染病自动预警系统各项指标运行良好,但存在预警信号大量冗余,浪费人力资源情况,预警系统仍需优化完善。
Abstract
Objective To analyze the characteristics of automatic early warning of infectious diseases in Lianyungang City from 2008 to 2022,and to provide a basis for further improving system functions. Methods The monitoring data of infectious diseases automatic early warning system in Lianyungang City from 2008 to 2022 were collected and organized.Indicators such as the response rate of the early warning system and the positive rate of outbreaks were analyzed to evaluate the effectiveness of the system's operation. Results From 2008 to 2022,the early warning system of Lianyungang City received 12 466 early warning signals,with a response rate of 100%,and a timely response rate of 99.77%.The average response time was 0.66 h.The positive rate of suspected events was 17.50%.The positive rate of outbreak events was 0.27%.The number of the diseases with early warning signals was dominated by hand,foot and mouth disease,measles,and new coronavirus pneumonia,accounting for 79.26%.The peak of early warning signals were in November to December and May to June.The areas with the highest number of early warning signals were Haizhou District and Donghai County.The verification method of early warning signals was mainly based on comprehensive analysis.The accuracy rate of early warning signals was 18.58%. Conclusion The indicators of the automatic early warning system for infectious diseases in Lianyungang City are running well.However,there are a lot of redundant early warning signals,leading to a waste of human resources.The early warning system still needs to be optimized.
关键词
传染病 /
预警系统 /
响应时间 /
暴发事件 /
系统运行 /
效果评价
Key words
Infectious disease /
Early warning system /
Response time /
Outbreak /
System operation /
Effect evaluation
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参考文献
[1] 杨维中,兰亚佳,李中杰,等.国家传染病自动预警系统的设计与应用[J].中华流行病学杂志,2010,31(11):1240-1244.
[2] 张洪龙,赖圣杰,张子科,等.2014年国家传染病自动预警系统运行结果分析[J].疾病监测,2016,31(11):896-902.
[3] 张洪龙,曾令佳,赖圣杰,等.2016年国家传染病自动预警信息系统运行情况分析[J].疾病监测,2018,33(2):159-167.
[4] 杭惠,覃江纯,张钧,等.2010—2018年苏州市传染病自动预警系统运行情况分析[J].现代预防医学,2020,47(2):344-347+366.
[5] 陈秀荣,刘琳琳.2008—2020年济南市章丘区传染病自动预警信息分析[J].预防医学论坛2021,27(9):707-710.
[6] 于雪岚,曾佳芮,徐勇,等.四川省内江市2014—2018年传染病自动预警信息分析[J].医学动物防制,2020,36(3):230-233.
[7] 何恺,黄东升,安丽,等.2008—2017年保山市传染病自动预警信息系统运行情况[J].预防医学论坛,2018,24(4):251-254.
[8] 方继,傅伟杰,熊小庆,等.2015—2019年江西省传染病自动预警信息系统应用效果评价[J].疾病监测,2022,37(5):689-693.
[9] 苏彦萍,孙晓伟,高汉青,等.2013—2020年北京市通州区传染病自动预警系统运行情况分析[J].传染病信息,2021,34(5):463-467.
[10] 徐兰英,李肖红,李国伟,等.2009—2017年郑州市传染病自动预警系统运行情况分析[J].现代预防医学,2019,46(3):527-531.
[11] 鲁琴宝,林君芬,徐校平,等.浙江省2014—2016年传染病自动预警系统监测数据分析及质量评价[J].国际流行病学传染病学杂志,2018(2):93-97.
基金
2023年连云港卫生健康面上科技项目(202338)