What Are the Applications of Parallel Computing in Epidemiology?
Parallel computing is applied in several areas within epidemiology, including:
Genomic analysis: Processing large genomic datasets to identify disease-causing genes. Agent-based models: Simulating interactions between individuals to understand disease dynamics. Spatial analysis: Mapping the spread of diseases across different regions. Network analysis: Studying how social networks influence disease transmission.
