Affiliation:
1. Department of Cellular and Molecular Biology, Faculty of Advanced Science and Technology, Tehran Medical Sciences Islamic Azad University Tehran Iran
2. Department of Bacteriology and Virology Shiraz University of Medical Sciences Shiraz Iran
3. Gastrointestinal and Liver Diseases Research Center Iran University of Medical Sciences Tehran Iran
4. Department of Virology, School of Medicine Iran University of Medical Sciences Tehran Iran
Abstract
AbstractBackground and AimsSecond to COVID‐19 pandemic, other viral respiratory infections are still important causes of human diseases or co‐infections. Hence, the present study was carried out to investigate the common respiratory viruses in patients with respiratory illness diagnosed negative for severe acute respiratory syndrome coronavirus‐2 in primary screening.MethodsIn a cross‐sectional study, a real‐time PCR was carried out using HiTeq. 17 Viro Respiratory pathogen One Step RT‐PCR Kit (Genova, Bonda Faravar, Bioluence, Tehran, Iran).ResultsA total of 311 individuals (mean age ± SD: 48.2 ± 21.7 years, range: 1–97 years) underwent second PCR. Among these, 161 (51.7%) were female. In total, 55 (17.6%) cases (mean age ± SD: 45.7 ± 18.1 years) were found positive for respiratory viruses panel in the second PCR. The HCoV‐OC43/HKU1 was in 5.4% (17/311), Flu A in 4.5% (14/311), HCoV‐229E/NL63 in 2.8% (9/311), HMPV in 1.9% (6/311), HPiV 1, 2, 3 in 1.2% (4/311), HRSV in 0.9% (3/311), and HAdV in 0.6% (2/311) of the cases studies. Also, co‐infection was detected in 4 samples (1.2%). In addition, sore throat (0.028), headache (p = 0.016), and body pain (p = 0.0001) were statistically the most significant symptoms in studied cases.ConclusionAccording to the findings of our study, respiratory virus infections and co‐infections were 17.6% and 1.2% frequent, respectively. Interestingly, nearly half of our positive cases (47.2%) were identified by coronaviruses (ОС43, Е229, NL63, and HKUI), followed by influenza A virus (25.4%). However, for more comprehensive results, we recommend using greater sample size.
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