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连云港市2008-2022年传染病监测自动预警分析

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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。
Analysis of automatic early warning of infectious disease surveillance in Lianyungang City from 2008 to 2022
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 infec-tious diseases automatic early warning system in Lianyungang City from 2008 to 2022 were collected and organ-ized.Indicators such as the response rate of the early warning system and the positive rate of outbreaks were analyzed to e-valuate 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 aver-age 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 ver-ification 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 Lianyun-gang City are running well.However,there are a lot of redundant early warning signals,leading to a waste of human re-sources.The early warning system still needs to be optimized.

Infectious diseaseEarly warning systemResponse timeOutbreakSystem operationEffect evaluation

陈玉格、杨皓舒、郑艳泽、周鑫、庄晨、李娣

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连云港市疾病预防控制中心,江苏 222003

传染病 预警系统 响应时间 暴发事件 系统运行 效果评价

连云港卫生健康面上科技项目(2023)

202338

2024

安徽预防医学杂志
安徽省预防医学会 安徽省疾病预防控制中心

安徽预防医学杂志

影响因子:0.43
ISSN:1007-1040
年,卷(期):2024.30(2)
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