Why is Parallel Computing Important in Epidemiology?
Epidemiologists often deal with vast amounts of data and complex models to understand the spread of diseases. Parallel computing can significantly speed up computational models, allowing researchers to analyze data and run simulations more efficiently. This is crucial for timely decision-making, especially during disease outbreaks.
