Volume 45 Issue 7
Jul.  2024
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Lifen ZHANG, Xingchen WEI, Yanhong SUN, Jienan ZHOU, Xiaoyu HAN, Yaoyao CHEN. Operation and Quality Evaluation of the Influenza Monitoring System in Yunnan Province,2021 to 2022[J]. Journal of Kunming Medical University, 2024, 45(7): 69-72. doi: 10.12259/j.issn.2095-610X.S20240710
Citation: Lifen ZHANG, Xingchen WEI, Yanhong SUN, Jienan ZHOU, Xiaoyu HAN, Yaoyao CHEN. Operation and Quality Evaluation of the Influenza Monitoring System in Yunnan Province,2021 to 2022[J]. Journal of Kunming Medical University, 2024, 45(7): 69-72. doi: 10.12259/j.issn.2095-610X.S20240710

Operation and Quality Evaluation of the Influenza Monitoring System in Yunnan Province,2021 to 2022

doi: 10.12259/j.issn.2095-610X.S20240710
  • Received Date: 2023-06-28
    Available Online: 2024-06-15
  • Publish Date: 2024-07-25
  •   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.
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