Epidemiological characteristics of acute viral and mycoplasma respiratory infections in Yongzhou, China
A retrospective descriptive study
Bibliographic Data
| ID | 22071237 |
|---|---|
| Authors | Ying Jiang (0000-0002-6128-6626, Yong In University), Junyan Lu (0000-0001-7830-3704, Yong In University), Zhengrong Tan (Yong In University), Hanmei Wan (Yong In University), Min Tang (0000-0002-6459-2776, Yong In University), Jiani Li (0000-0002-8258-3654, Yong In University), Tao Zhou (0000-0003-1295-8331, Yong In University), Wenlong Tang (0009-0007-5552-4994, Yong In University) |
| Year | 2025 |
| Volume | 13 |
| Pages | 1614985-1614985 |
| Publication date | 2025-07-17 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2025.1614985 |
| PMID | 40746698 |
| OpenAlex | W4412855685 |
| Language | EN |
| Citations received | 3 |
| References cited | 34 |
Background Acute respiratory infections (ARIs) are major global public health concerns. Understanding the epidemiological characteristics and evolution patterns of respiratory pathogens before and after the coronavirus disease 2019 (COVID-19) pandemic is crucial for disease control and prevention. This study identified the epidemiological characteristics and pathogen distribution in hospitalized patients with ARIs in Yongzhou, China. Methods A retrospective analysis was conducted on 10,728 hospitalized patients with ARIs at a tertiary hospital in Yongzhou, China, from January 2019 to June 2024. Respiratory specimens were tested using standardized protocols including multiplex real-time PCR for detecting common respiratory pathogens (FluA and FluB, RSV, ADV, HRV, and MP) and next-generation sequencing for additional pathogen identification when clinically indicated. Statistical analyses included descriptive statistics for demographic and clinical characteristics, and chi-square tests for comparing categorical variables across different age groups, seasons, and time periods. Results Overall, 43.12% (4,626/10,728) of samples were positive for at least one pathogen. The most frequently detected pathogens were FluA (11.95%), RSV (9.61%), and MP (8.73%). RSV primarily affected children under 5 years (38.63% of RSV cases), while SARS-CoV-2 showed higher detection rates in older adult populations (64.81% of COVID-19 cases). Co-infections were found in 23.76% (1,099/4,626) of positive samples, with preschool children (2–5 years) showing the highest rate at 32.58%. MP ( n = 398, 36.21% of all co-infections) with HRV ( n = 338, 30.76% of all co-infections) were the most frequently detected pathogens in co-infections. Significant seasonal variations were observed, with winter showing the highest pathogen detection rates (49.04%, p < 0.001), and seasonal patterns changed notably during the COVID-19 pandemic. The frequency and patterns of co-infections showed marked differences across pre-pandemic, pandemic, and post-pandemic (January 2023–June 2024) periods. Co-infections occurred in 1,209 cases, with significant differences across study periods: 20.6% in pre-pandemic, 0.6% during pandemic, and 78.8% in post-pandemic periods ( p < 0.001). Conclusion This study revealed distinct age-dependent and seasonal distribution patterns of respiratory pathogens in Yongzhou, China. The significant changes in pathogen circulation dynamics before, during, and after the COVID-19 pandemic highlight the importance of continuous surveillance of respiratory viruses. These findings provide valuable insights for optimizing local ARI prevention and treatment services
Mycoplasma pneumoniae · Pneumonia · Retrospective cohort study · Medicine · Microbial infections and disease research · Pneumonia and Respiratory Infections · Respiratory viral infections research · Epidemiology · Internal Medicine
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| Citations per year | 3 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |