| 宋肖肖,蔡乐,刘伟,崔文龙,彭霞,李琼芬,董毅,杨明东,吴波清,岳太科,范建华,李园园,李燕.云南省边境地区症状监测预警系统的开发与实践[J].中华流行病学杂志,2023,44(5):845-850 |
| 云南省边境地区症状监测预警系统的开发与实践 |
| Development and application syndromic surveillance and early warning system in border area in Yunnan Province |
| 收稿日期:2022-10-13 出版日期:2023-05-13 |
| DOI：10.3760/cma.j.cn112338-20221013-00882 |
| 中文关键词: 传染病 症状监测系统 预警 边境地区 |
| 英文关键词: Infectious disease Syndromic surveillance system Early warning Border area |
| 基金项目:云南公共卫生与疾病防控协同创新中心项目(2014YN-PHXT23) |
| 作者 | 单位 | E-mail | | 宋肖肖 | 昆明医科大学公共卫生学院, 昆明 650500 | | | 蔡乐 | 昆明医科大学公共卫生学院, 昆明 650500 | | | 刘伟 | 昆明医科大学公共卫生学院, 昆明 650500 | | | 崔文龙 | 昆明医科大学公共卫生学院, 昆明 650500 | | | 彭霞 | 云南省疾病预防控制中心, 昆明 650022 | | | 李琼芬 | 云南省疾病预防控制中心, 昆明 650022 | | | 董毅 | 云南省地方病防治所, 大理 671000 | | | 杨明东 | 云南省寄生虫病防治所, 普洱 665000 | | | 吴波清 | 云南省德宏傣族景颇族自治州疾病预防控制中心, 芒市 678400 | | | 岳太科 | 云南省德宏傣族景颇族自治州疾病预防控制中心, 芒市 678400 | | | 范建华 | 云南省西双版纳傣族自治州疾病预防控制中心, 景洪 666100 | | | 李园园 | 云南省西双版纳傣族自治州疾病预防控制中心, 景洪 666100 | | | 李燕 | 昆明医科大学公共卫生学院, 昆明 650500 | yanli20021965@21cn.com |
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| 中文摘要: |
| 目的 利用信息化技术，在云南省边境地区建立持续动态症状监测预警系统，并探讨其有效性和及时性，以提升边境地区传染病防控能力。方法 选择3个边境县，以全覆盖的方式，于2016年1月至2018年2月持续监测医疗机构14个症状及6个症候群，收集小学每天学生缺勤信息和边境口岸入境人员发热信息，构建基于手机和电脑平台的症状监测预警系统。结果 采用EARS-3C和Kulldorff时空扫描的预警模型，发现皮疹、流感样症状和小学缺勤等多个监测信号源对手足口病、流感和水痘等常见传染病预警有较高的灵敏度和特异度（可提前1~5 d预警）。系统简便易用，安全性和可行性较强，以交互式图表及可视化地图的方式展示，相关人员能够随时掌握监测数据情况和预警信号的变化，及时采取处置措施。结论 该系统科学有效、操作方便，能实时发现边境地区常见传染病的暴发或聚集事件，实现及时采取有效干预措施，减少本地及跨境传染病暴发的风险，具有实际应用价值。 |
| 英文摘要: |
| 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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