Operation and Quality Evaluation of the Influenza Monitoring System in Yunnan Province,2021 to 2022
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摘要:
目的 对2021—2022年度云南省流感监测系统运转情况进行分析并开展质量评价,发现各哨点医院及网络实验室在流感监测工作中存在的问题并及时整改,提升全省流感监测工作质量。 方法 从“中国流感监测信息系统”下载2021—2022年度全省所有国家级网络实验室和哨点医院流感样病例(ILI)监测数据,利用描述流行病学方法,对流感样病例报告情况、核酸检测及病毒分离鉴定结果,暴发疫情信息等进行分析。参照《全国流感监测工作质量评估方案( 2017版) 》,对全省流感监测工作质量进行评估。 结果 全省哨点医院流感样病例占门急诊病例总数比例(ILI%)平均值为1.49%,与前2个监测年度基本持平。ILI核酸阳性率9.74%,流行优势株为BV系,占89.63%。全省共报告49起流感暴发疫情,主要集中在12月份,疫情以中小学为主。94.74%的哨点医院能完整上报ILI数据,78.95%的哨点医院标本采集数量能达到方案要求,70.59%的网络实验室能将90%以上的标本及时进行检测,69.09%的流感毒株能在30d内及时送检。100%的网络实验室具备流感核酸检测能力并保证结果的准确性。 结论 全省流感监测工作持续推进,但部分哨点医院存在数据缺报、漏报、报告不及时、标本采集数不够等问题,部分网络实验室标本检测及时率不高,送检毒株数未达到国家要求,鸡胚分离流感病毒能力有待进一步提升。部分州(市)对暴发疫情的处置工作未严格按照国家要求开展。各地应针对存在的问题采集有效措施,进一步提升全省流感监测工作质量,力争各项监测指标达到或超过监测方案要求。 Abstract:Objective To analyze the operation of the influenza monitoring system in Yunnan Province from 2021 to 2022 and conduct quality evaluation, identify weak links and take targeted measures to improve the level of influenza monitoring works. Methods We download related data of all national-level network laboratories and sentinel hospitals from China Influenza Monitoring Information System in 2021-2022, and used descriptive epidemiological methods to analyze the monitoring results, evaluated the quality of influenza monitoring work according to the National Quality Assessment Plan for Influenza Monitoring (2017 Edition). Results The average ILI% (percentage of ILI in the total number of outpatient and emergency cases) of sentinel hospitals in the province is 1.49%, which is the same as the previous two years. The positive rate of ILI nucleic acid was 9.74%, and the Popular dominant strain was BV, accounting for 89.63%. 49 influenza outbreaks have been reported in 2021-2022 monitoring year, mainly concentrated in December and Mainly occurring in primary and middle schools.94.74% of sentinel hospitals can report all ILI data, and 78.95% of sentinel hospital specimens can meet the requirements of the plan. 70.59% of network labs can test 90% of samples timely, 69.09 of virus strains can send to national lab within 30 days. 100% of network laboratories have influenza nucleic acid testing capabilities and can ensure the accuracy of testing results. Conclusions The influenza monitoring work continues to advance, but some sentinel hospitals have problems such as missing data or untimely reporting, and insufficient sample collection. The timely detection rate of some laboratories is not high, the number of tested strains does not meet the national requirements, and the ability of using chicken embryos to isolate influenza viruses needs further improvement. Some states have not strictly followed national requirements in their response to influenza outbreaks. Effective measures should be taken by various regions to address the existing problems, further improving the quality of influenza monitoring work, and striving to meet or exceed the requirements of all monitoring indicators. -
Key words:
- Influenza /
- Surveillance /
- Quality evaluation
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[1] 李兰娟,任红. 传染病学[M]. 第8版. 北京: 人民卫生出版社,2013: 55. [2] 徐红. 中国2002-2003年度流行性感冒监测分析[J]. 中华流行病学志,2003,11(24):995-998. [3] Mulloly J P,B ridges C B,Thompson W W,et al. Influenza and RSV associated hospitalization amongadults[J]. Vaccine,2007,25(25):846-855. [4] 舒跃龙. 流感监测的发展历史及思考[J]. 中华流行病学杂志,2011,32(4):334-336. doi: 10.3760/cma.j.issn.0254-6450.2011.04.003 [5] 于燕,叶莹,赵升,等. 河南省2012年流行性感冒监测哨点医院监测质量调查分析[J]. 中国病毒性杂志,2014,4(1):58-60. [6] 卫生部. 关于印发2009年扩大流感监测网络项目管理方案的通知[EB/OL]. (2009-07-30)[2023-01-21]https://www.pkulaw.com/chl/12f1c15878019051bdfb.html. [7] 罗春蕊,李娟,宁德明,等. 云南省2009-2013年流感哨点医院监测结果分析[J]. 实用预防医学,2016,23(3):358-359. doi: 10.3969/j.issn.1006-3110.2016.03.034 [8] 国家卫生计生委. 关于印发全国流感监测方案(2017年版)的通知[EB/OL]. (2017-09-27)[2023-01-15]https://ivdc.chinacdc.cn/cnic/zyzx/jcfa/201709/t20170927_153830.htm. [9] 中国疾病预防控制中心. 全国流感监测质量评估方案( 2017年版)[EB/OL]. (2017-09-30)[2023-01-21]https://ivdc.chinacdc.cn/cnic/zyzx/jcfa/201709/t20170930_153977.htm. [10] 张丽芬,赵晓南,李多,等. 云南省2016-2018年流行性感冒监测分析[J]. 中国病毒病杂志,2021,11(1):6-10. [11] 王丛从,李国伟,李锋,等. 2018年4月-2023年3月郑州市流行性感冒流行病学及病原学特征[J]. 现代疾病预防控制,2024,35(4):288-291. [12] 胡乃月,王治国,戴蕾,等. 2021-2022年郑州市流行性感冒监测结果[J]. 现代疾病预防控制,2024,35(3):196-202. [13] 杨溪,赵晓南,李多,等. 云南省2017年-2018年流感监测结果分析. 实用医药杂志[J]. 2020,37(2): 151-155. [14] 刘丽军,杨静,祝菲,等. 2017-2018 年中国流感样病例暴发疫情分析[J]. 中华预防医学杂志,2019,53(10):982-986. [15] 杨静,汪立杰,祝菲,等. 中国大陆地区2016-2017监测年度流感暴发疫情流行病学特征分析[J]. 中国公共卫生,2018,34(6):839-842.