Volume 45 Issue 5
May  2024
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WANG Chuanbao, JIANG Chunyun, LIU Xiangliang, LI Chengwei, LIU Jiancheng, YIN Deqing, JI Shengxiang, WU Fangfang, LIU Xiufang. Detection characteristics of the virus during school influenza outbreaks in Linyi City[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2024, 45(5): 723-726. doi: 10.16835/j.cnki.1000-9817.2024156
Citation: WANG Chuanbao, JIANG Chunyun, LIU Xiangliang, LI Chengwei, LIU Jiancheng, YIN Deqing, JI Shengxiang, WU Fangfang, LIU Xiufang. Detection characteristics of the virus during school influenza outbreaks in Linyi City[J]. CHINESE JOURNAL OF SCHOOL HEALTH, 2024, 45(5): 723-726. doi: 10.16835/j.cnki.1000-9817.2024156

Detection characteristics of the virus during school influenza outbreaks in Linyi City

doi: 10.16835/j.cnki.1000-9817.2024156
  • Received Date: 2024-01-19
  • Rev Recd Date: 2024-02-16
  • Available Online: 2024-05-30
  • Publish Date: 2024-05-25
  •   Objective   To analyze the characteristics of influenza virus detection in an influenza outbreak in schools, so as to provide a strategic basis for the treatment of influenza outbreaks in schools.   Methods   A total of 1 702 samples were collected from 52 school influenza outbreaks reported in Linyi City in 2021-2022. The samples were divided into 3 types according to different symptoms during the management of the epidemic [group A: influenza-like illness (ILI) group; group B: mild illness group; group C: close contacts group]. Rt-PCR was used to detect influenza virus nucleic acid in the collected samples. The detection rate of influenza virus in the outbreaks was analyzed by χ2 test.   Results   In total, 1 071 samples (62.93%) tested positive for influenza virus nucleic acid. Among them, 610 out of 726 samples (84.02%) were detected in group A, while 331 out of 634 samples (52.21%) were detected in group B. In group C, 130 out of 342 samples (38.01%) tested positive. The differences were statistically significant (χ2=260.71, P<0.01). In group A, males had a detection rate of 80.83% for influenza virus nucleic acid, compared to 91.36% for females. For group B, the rates were 53.31% for males and 50.87% for females. In group C, males had a rate of 30.72%, while females had a rate of 43.92%. Statistical significance for gender differences was observed only in groups A and C (χ2=12.67, 6.25, P<0.05). According to the days of onset, the detection rates of influenza virus nucleic acid among patients with onset 0-6 days were 56.30%, 74.49%, 89.35%, 86.23%, 69.67%, 62.75%, 34.33%, respectively, and the difference was statistically significant (χ2=128.27, P<0.01).   Conclusions   Mild cases and close contacts are likely key factors contributing to the prolonged emergence of new cases within classrooms during school influenza outbreaks. The progression of influenza symptoms is related to the risk of transmission.
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