Epidemiological Trends and Influencing Factors of Influenza Virus Infections in Respiratory Tract Infection Patients at Ramathibodi Hospital: A Decade of Molecular Surveillance (2012-2022)
Keywords:
influenza virus, respiratory tract infection, real-time RT-PCRAbstract
The objective of this study was to study epidemiological trends and factor influencing on the detection of influenza virus in Ramathibodi Hospital, Mahidol University, Thailand. It was conducted by analyzing epidemiological data from 42,940 patients presenting with respiratory tract infections and screened for influenza virus using real-time reverse transcription polymerase chain reaction (real-time RT-PCR) between January 2012 and December 2022. The findings indicated that 3,020 cases (7.03%) were positive for the influenza virus. The distribution of influenza cases included 1,845 cases (61.09%) of influenza A, 1,160 cases (38.41%) of influenza B, 8 cases (0.26%) of influenza C, and 7 cases (0.23%) with co-infection of both influenza A and B. Of these, 656 cases (35.56%) were H1N1 subtype A, 900 cases (48.78%) were H3N2, and 289 cases (15.66%) were of an unidentified strain. The period of peak influenza infection extends from August to October, while the season with the lowest number of infections occurs between April and June. The relationship between age and the risk of influenza infection indicates that young children and adults exhibited a significantly higher risk of influenza infection compared with older adults. The relative risk values for this relationship are 1.85 (p<0.001, OR = 1.85, 95%CI = 1.54 - 2.24) and 1.44 (p<0.001, OR = 1.44, 95%CI = 1.25 - 1.66), respectively. After the emergence of the COVID-19 pandemic, a statistically significant association with the detection of influenza virus was observed (p<0.001, OR = 1.28, 95%CI = 1.13 – 1.45). The study found no statistically significant correlation between gender and sample type on the presence of the influenza virus. These findings may be used to inform preparedness strategies to prepare for future influenza pandemics.
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