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Development and Application Syndromic Surveillance and Early Warning System in Border Area in Yunnan Province

PubMed(2023)

School of Public Health | Yunnan Provincial Center for Disease Control and Prevention | Yunnan Provincial Institute for Endemic Diseases Control and Prevention | Yunnan Provincial Institute of Parasitic Diseases

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Abstract
Objective:To establish a dynamic syndromic surveillance system in the border areas of Yunnan Province based on information technology, evaluate its effectiveness and timeliness in the response to common communicable disease epidemics and improve the communicable disease prevention and control in border areas.Methods:Three border counties were selected for full coverage as study areas, and dynamic surveillance for 14 symptoms and 6 syndromes were conducted in medical institutions, the daily collection of information about students' school absence in primary schools and febrile illness in inbound people at border ports were conducted in these counties from January 2016 to February 2018 to establish an early warning system based on mobile phone and computer platform for a field experimental study.Results:With syndromes of rash, influenza-like illness and the numbers of primary school absence, the most common communicable disease events, such as hand foot and mouth disease, influenza and chickenpox, can be identified 1-5 days in advance by using EARS-3C and Kulldorff time-space scanning models with high sensitivity and specificity. The system is easy to use with strong security and feasibility. All the information and the warning alerts are released in the form of interactive charts and visual maps, which can facilitate the timely response.Conclusions:This system is highly effective and easy to operate in the detection of possible outbreaks of common communicable diseases in border areas in real time, so the timely and effective intervention can be conducted to reduce the risk of local and cross-border communicable disease outbreaks. It has practical application value.
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Key words
Infectious disease,Syndromic surveillance system,Early warning,Border area
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要点】:本研究在云南省边境地区建立了一套基于信息技术的动态症候群监测和预警系统,有效提高了传染病预防和控制能力。

方法】:选取三个边境县作为研究区域,对医疗机构中的14种症状和6种症候群进行动态监测,并在小学和边境口岸收集学生缺课和入境人员发热信息,利用移动手机和计算机平台建立预警系统。

实验】:从2016年1月至2018年2月,通过EARS-3C和Kulldorff时间-空间扫描模型,该系统能够提前1-5天识别常见传染病事件,如手足口病、流感和水痘等,实验使用的数据集为边境地区医疗和学生缺课数据,结果表明系统具有较高的灵敏度和特异性,易于使用,安全性强,并通过交互图表和视觉地图形式发布信息和预警提示。