AI Article Synopsis
- The study assesses rising seasonal influenza rates in China since 2018, focusing on four types of viruses and analyzing data related to gender, age, and season using a logistic regression model.
- Significant trends in infection rates were observed: an increase from 2018 to 2019 and 2021 to 2022, but a decrease between 2019 and 2021.
- The highest rates of infection were found in adolescents aged 18-30, and the impact of different virus types was ranked, with Influenza B/Victoria being the most significant.
Article Abstract
According to World Trade Organization (WTO) statistics, the incidence of seasonal influenza in China has been on the rise since 2018. The aim of this study was to identify and investigate the influence of factors related to the incidence of four common types of influenza viruses. Data of patients with common cold and associated virus infections are described, and a logistic regression model based on gender, age and season was established. The relationship between virus type and the above three factors was analyzed in depth and significant (p<0.05) associations noted. We noted a fluctuation trend, with the infection rate of influenza virus showing an upward trend from 2018 to 2019 and from 2021 to 2022 and a downward trend from 2019 to 2021. The total number of cases in adolescents aged 18-30 years was higher than that in the elderly. The impact of different types of influenza virus on the population ranked from large to small, with special roles played by Influenza B/Victoria, H3N2, Influenza A/H1N1 pdm and Influenza B/Yamagata.
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| http://dx.doi.org/10.4081/gh.2024.1294 | DOI Listing |
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