Detection of respiratory viruses in clinical samples

Abstract

Respiratory viral infections accounts for more than 4.25 million fatalities each year, making them the third most common cause of death worldwide. Although the majority of acute respiratory infections are assumed to be caused by viruses, the exact cause is often unknown. Comprehensive mapping of viral genomic sequencing is done, which also shows a significant degree of viral heterogeneity that contributes to the early diagnosis of respiratory illness. The development of next-generation sequencing (NGS), particularly for the detection of unidentified respiratory viruses, has revolutionized the field of novel viral genome detection.This review focusses on different models of sequencing techniques available for novel viral genome detection. Although there are still major technical and ethical issues in using this technologies for clinical detection, this technology has great promise for the future as a way to better understand respiratory viruses and make diagnoses that are more precise.