Surveillance and analysis of influenza-like illness cases in a sentinel hospital in Nantong from 2014 to 2021
Journal Title: Shanghai Journal of Preventive Medicine - Year 2022, Vol 34, Issue 10
Abstract
ObjectiveTo analyze the surveillance results of influenza-like illness ï¼ILIï¼ cases in a sentinel hospital in Nantong from 2014 to 2021 and to understand the seasonal and etiological characteristics of influenza.MethodsThe routine ILI case information in a sentinel hospital in Nantong from 2014 to 2021 was collected from China Influenza Surveillance Information systemï¼ and the surveillance results were described and analyzed.ResultsA total of 64 110 ILI cases were reported in the hospital from 2014 to 2021ï¼ and accounted for 3.93% of outpatient and emergency visits. ILI is mainly concentrated in children under 15 years oldï¼ accounting for 55.39% of the total ILI cases. ILI% roughly showed two epidemic peaks in spring and winter. A total of 8 639 nasopharyngeal swab samples of ILI cases were collected during 2014â2021ï¼ of which 838 were influenza positiveï¼ with an average positive rate of 10.01% ï¼3.27%â16.75%ï¼. The epidemic strains varied from year to year and in different age groups. In 2014 and 2015ï¼ H3N2 influenza was the epidemic strainï¼ in 2016 and 2017ï¼ H3N2 influenza and B-Victoria influenza were the co-epidemic strainsï¼ in 2018ï¼ H1N1 influenza was the epidemic strainï¼ and in 2019â2021ï¼ B Victoria influenza was the epidemic strain. The epidemic strain in 0â4 years oldï¼ 15â24 years oldï¼ 25â59 years old and >60 years old was H3N2ï¼ and the epidemic strain in 5â14 years old was B Victoria. There was a significant difference in the positive rate between different gender groups ï¼Ï2=7.364ï¼ P=0.006ï¼.ConclusionInfluenza often occurs in winter and spring in a sentinel hospital in Nantong. Influenza subtypes are prevalent alternately in different age groups and different years. We need to closely monitor the etiology of influenza virus in Nantong to provide a basis for influenza prevention and control.
Authors and Affiliations
HUAN Feng,Mao Xinling,WANG Limei,SHAO Xiaohong,Wu Xiaoli,
Keywords
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