Analysis of automatic early warning of infectious disease surveillance in Lianyungang City from 2008 to 2022

CHEN Yuge, YANG Haoshu, ZHENG Yanze, ZHOU Xin, ZHUANG Chen, LI Di

Anhui Journal of Preventive Medicine ›› 2024, Vol. 30 ›› Issue (2) : 156-159.

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Anhui Journal of Preventive Medicine ›› 2024, Vol. 30 ›› Issue (2) : 156-159. DOI: 10.19837/j.cnki.ahyf.2024.02.016
Disease Control

Analysis of automatic early warning of infectious disease surveillance in Lianyungang City from 2008 to 2022

  • CHEN Yuge, YANG Haoshu, ZHENG Yanze, ZHOU Xin, ZHUANG Chen, LI Di
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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.

Key words

Infectious disease / Early warning system / Response time / Outbreak / System operation / Effect evaluation

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CHEN Yuge, YANG Haoshu, ZHENG Yanze, ZHOU Xin, ZHUANG Chen, LI Di. Analysis of automatic early warning of infectious disease surveillance in Lianyungang City from 2008 to 2022[J]. Anhui Journal of Preventive Medicine. 2024, 30(2): 156-159 https://doi.org/10.19837/j.cnki.ahyf.2024.02.016

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