Analysis of influenza like illness and etiological monitoring results in Yaohai District,Hefei City from 2018 to 2022
Objective To understand the epidemic characteristics of influenza in Yaohai District of Hefei City from 2018 to 2022,and to provide data support for the prevention and control of influenza.Methods The monitoring data of influenza like illness(ILI),relevant etiological test results and influenza outbreak data of national sentinel hospital in Yaohai District,Hefei City during 2018 to 2022 were collected from the China Influenza Monitoring Information System,and descriptive epi-demiological methods were used to analyze the epidemic characteristics of influenza.Results From 2018 to 2022,a total of 31 765 ILI were reported in Yaohai District Sentinel Hospital,and the percentage of 1L1(ILI％)was 5.06％.The difference in ILI％between years was statistically significant(x2=2 560.000,P＜0.001).A total of 5 279 ILI specimens were tested for influenza virus nucleic acid,with a positive detection rate of 9.70％.Among which,the positive detection rate in 2022 was the highest(15.40％)(x2=157.100,P＜0.001).And 15-24 years old people had the highest positive detection rate(14.51％)(x2=50.780,P＜0.001).The positive detection rate was higher in males(10.64％)than that in females(8.80％)(x2=4.871,P=0.020).The highest positive detection rate was observed in winter(21.82％)(x2=335.100,P＜0.001).The main subtypes of influenza viruses were A(H1N1)(30.47％,156/512),A(H3N2)(28.52％,146/512),and B(Victoria)(40.82％,209/512).A total of 56 outbreaks of ILI were reported,with 55 occurring in primary and sec-ondary schools.Conclusion From 2018 to 2022,the influenza epidemic in Yaohai District of Hefei City had a high inci-dence in winter and spring,and children and adolescents were the key groups.Outbreaks of ILI are more common in primary and secondary schools and childcare institutions,indicating that schools are still key places for epidemic prevention and con-trol.Student vaccination and influenza monitoring in key places should be strengthened.
Influenza like illnessOutbreakEtiological surveillance
万方数据
