Epidemiological Characteristics of Respiratory Virus Infections in Kunming Region during 2023-2024

Dongling LI; Guangfeng YIN; Tingting YU; Songpeng LI; Shuqiong ZHANG; Dong PU

doi:10.12259/j.issn.2095-610X.S20251007

Volume 46 Issue 10

Oct. 2025

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Article Navigation > Journal of Kunming Medical University > 2025 > 46(10): 61-69

Dongling LI, Guangfeng YIN, Tingting YU, Songpeng LI, Shuqiong ZHANG, Dong PU. Epidemiological Characteristics of Respiratory Virus Infections in Kunming Region during 2023-2024[J]. Journal of Kunming Medical University, 2025, 46(10): 61-69. doi: 10.12259/j.issn.2095-610X.S20251007

Citation:

Dongling LI, Guangfeng YIN, Tingting YU, Songpeng LI, Shuqiong ZHANG, Dong PU. Epidemiological Characteristics of Respiratory Virus Infections in Kunming Region during 2023-2024[J]. Journal of Kunming Medical University, 2025, 46(10): 61-69. doi: 10.12259/j.issn.2095-610X.S20251007

Citation:

Dongling LI, Guangfeng YIN, Tingting YU, Songpeng LI, Shuqiong ZHANG, Dong PU. Epidemiological Characteristics of Respiratory Virus Infections in Kunming Region during 2023-2024[J]. Journal of Kunming Medical University, 2025, 46(10): 61-69. doi: 10.12259/j.issn.2095-610X.S20251007

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Epidemiological Characteristics of Respiratory Virus Infections in Kunming Region during 2023-2024

doi: 10.12259/j.issn.2095-610X.S20251007

Clinical Laboratory，The Third People’s Hospital of Kunming/Yunnan Clinical Medical Center for Infectious Diseases，Kunming Yunnan 650041，China

Received Date: 2025-03-04
Publish Date: 2025-10-28

Abstract

Abstract

Objective Analyze the epidemiological characteristics of respiratory virus infections in Kunming area during 2023-2024, and explore the detection rates of different virus types and their distribution patterns across different time periods and age groups. Methods A total of 10354 nasopharyngeal swab or sputum samples were retrospectively collected from patients with acute respiratory infections who visited the Third People's Hospital of Kunming City between March 2023 and June 2024. Multiple pathogens were detected using real-time fluorescent quantitative polymerase chain reaction （RT-qPCR） technology. A retrospective analysis was then conducted on the clinical laboratory detection results, statistically analyzing the overall detection rates of various respiratory viruses, multiple infection phenomena, gender differences, age distribution, seasonal variations, infection site differences, and monthly infection situations. Results Among the 10354 patient respiratory samples tested, 3368 pathogen infections were detected, with a detection rate of 32.53% （3368/10354）. 204 patients presented with mixed infections of ≥2 pathogens, with a mixed detection rate of 6.06%（204/3368）. The single detection rate for females was significantly higher than males （P < 0.001）, and the multiple infection detection rate for males is significantly higher than females （P < 0.05）, indicating that males may have a higher risk of concurrent infections. Among different age groups, the virus detection rate was highest in the 5-18 years age group at 55.87%. Significant differences were observed in the detection rates of FluA, FluB, and SIV-H3 across different disease types （P < 0.05）. In March 2023, the detection rate was highest at 54.27% （5619/10354）, with Influenza A virus （FluA） and seasonal influenza H3 subtype （SIV-H3） being the most detected pathogens. Conclusion In acute respiratory infection （ARI） cases in the Kunming area, FluA, FluB, and SIV-H3 were the primary viral pathogens, with the region's viral epidemic characteristics closely related to patient age stages, seasonal changes, and infection site factors.
- Respiratory infection,
- Virus,
- Epidemiological characteristics,
- Real-time fluorescent quantitative PCR

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