Project Report

UNMASKING SARs-CoV-2 COINFECTIONS: DETECTION

THROUGH NGS DATA ANALYSIS

Study of Coinfection: Investigating SARS-CoV-2 coinfection where multiple pathogens infect a single host, leading to genetic recombination.
Virus Evolution: Understanding how coinfection drives the evolution of new virus variants with advanced characteristics, such as increased drug resistance.
Next Generation Sequencing (NGS) Analysis: Utilizing NGS to identify the frequency and patterns of SARS-CoV-2 coinfection in a specific population.
Impact on Disease Severity: Exploring the implications of coinfection on virus evolution, disease severity, and drug resistance.
Key Findings: 2.8% of the analyzed population (250 patients) exhibited positive coinfection, showcasing the significance of this phenomenon.
Demographic and Genetic Diversity Insights: Providing information on genetic diversity and demographic trends within the affected population.
Application of NGS: Highlighting the importance of NGS in tracking viral evolution and supporting future research on managing viral outbreaks.