Epidemiological characteristics of acute respiratory infectious diseases in the first year after COVID-19 pandemic in Guangdong Province, China

中国广东省新冠肺炎疫情爆发后第一年急性呼吸道传染病的流行病学特征

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Abstract

BACKGROUND: Acute respiratory infections are caused by a diverse range of pathogens. The study aims to elucidate the epidemic characteristics of acute respiratory pathogens in Guangdong Province during the first year after the COVID-19 pandemic. METHODS: We collected sentinel surveillance data of 12 respiratory pathogens from multi-pathogen surveillance among acute respiratory infections from August 2023 to July 2024 in Guangdong Province, China. We also collected surveillance data on hospitalized pneumonia as a supplementary. We calculated the test positivity for each pathogen and performed pairwise correlation analysis. RESULTS: Multi-pathogen surveillance revealed that over half of acute respiratory infections tested positive for at least one pathogen. The most commonly detected pathogens were influenza virus (19.70%, 3,211/16,296), Streptococcus pneumoniae (10.99%, 1,343/12,215), and rhinovirus/enteroviruses (8.66%, 1,411/16,296). In the autumn and winter of 2023, the test positivity of influenza virus surpassed 20% starting in October, indicating that the winter epidemic period arrived earlier than that in the pre-COVID-19 pandemic period (typically December or later). The overall positivity was highest in the 0–14 age group (60.07%, 4,797/7,903), and pathogen distribution varied significantly across age groups. Correlation analysis revealed significant positive correlations between rhinovirus/enteroviruses and other pathogens, such as respiratory syncytial virus. Hospitalized pneumonia surveillance showed the proportion of Mycoplasma pneumoniae infections increased to 17.08% (3,707/21,701) in 2023, surpassing the pre-pandemic average of 10.52%. CONCLUSIONS: After the COVID-19 pandemic, we observed different characterization of the pathogen causing acute respiratory infections in Guangdong Province. The activity of influenza and Mycoplasma pneumoniae initially exhibited shifts compared to the pre-pandemic period. Pathogen distribution varied significantly across age groups, highlighting high-risk populations for specific pathogens. Continuous multi-pathogen surveillance is essential for understanding their epidemiological characteristics and formulating effective prevention and control measures, including vaccination strategies, clinical interventions.

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