Epidemiological characteristics of acute respiratory infectious diseases in the first year after COVID-19 pandemic in Guangdong Province, China Article Swipe
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· 2025
· Open Access
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· DOI: https://doi.org/10.1186/s12931-025-03308-4
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.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1186/s12931-025-03308-4
- https://respiratory-research.biomedcentral.com/counter/pdf/10.1186/s12931-025-03308-4
- OA Status
- gold
- Cited By
- 2
- References
- 27
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4411954646
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4411954646Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1186/s12931-025-03308-4Digital Object Identifier
- Title
-
Epidemiological characteristics of acute respiratory infectious diseases in the first year after COVID-19 pandemic in Guangdong Province, ChinaWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-07-02Full publication date if available
- Authors
-
Ting Hu, Yali Zhuang, Lirong Zou, Zhencui Li, Yihong Li, Yan Li, Min Kang, Aiping DengList of authors in order
- Landing page
-
https://doi.org/10.1186/s12931-025-03308-4Publisher landing page
- PDF URL
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https://respiratory-research.biomedcentral.com/counter/pdf/10.1186/s12931-025-03308-4Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://respiratory-research.biomedcentral.com/counter/pdf/10.1186/s12931-025-03308-4Direct OA link when available
- Concepts
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Pandemic, Coronavirus disease 2019 (COVID-19), Epidemiology, 2019-20 coronavirus outbreak, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Betacoronavirus, China, Medicine, Pneumonia, Virology, Environmental health, Respiratory system, Coronavirus, Outbreak, Immunology, Geography, Infectious disease (medical specialty), Disease, Internal medicine, ArchaeologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
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2025: 2Per-year citation counts (last 5 years)
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27Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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