Epidemiological characterisation of respiratory pathogen infections in Tong'an,Xiamen,2022-2023
HUANG Shufang
CHEN Mingzhi
ZHOU Zhizhong
Abstract:Objective To investigate the epidemiological characteristics of respiratory pathogens in Tong'an,Xiamen.Methods Pharyngeal swab were collected from 5 439 respiratory infection cases in the Third Hospital of Xiamen from 2022 to 2023.Common respiratory pathogens were detected by real-time fluorescent polymerase chain reaction technology.Epidemiological characteristics of respiratory pathogens were analyzed statistically across different genders,age groups,years and months.Statistical analysis was performed by χ2 test.Results Among the 5 439 throat swab specimens,1 774(32.62%)tested positive for nucleic acid of respiratory pathogens.The detection rate of influenza A virus(Flu A)was the highest(11.42%).A single infection was predominant(92.00%).Among mixed infections,the most common pattern was Flu A+Mycoplasma pneumoniae(MP)(33.80%).The detection rate of MP was higher in female patients than in male patients(P<0.05).Statistically significant differences in detection rates were observed across different age groups for parainfluenza virus type 1,parainfluenza virus type 3(PIV-3),respiratory syncytial virus(RSV),adenovirus(ADV),influenza B virus(Flu B)and MP(P<0.05).Patients with positive respiratory pathogen nucleic acid detection were predominantly concentrated in the age group of<18 years.Detection rates of PIV-3,RSV,Flu A,ADV and Flu B also showed statistically significant differences between 2022 and 2023(P<0.05).The prevalence of different pathogens varied with the changing of months.Conclusion Flu A is one of the primary pathogens causing respiratory diseases among residents in Tong'an,Xiamen.Detection rates of pathogens varied across different age groups,genders,years,and months.Relevant departments should implement targeted prevention and control measures accordingly.
Keywords:respiratory tract infectionrespiratory pathogensepidemiological characteristicsreal-time fluorescent polymerase chain reaction technology
Publication Date:2025-12-30
Online Publishing Date:2025-12-30(First online date of this platform, not the publication date of the document)
Pages:5( 622-626 )
