Parallel processing refers to the simultaneous use of multiple computational resources to perform complex calculations and analyses. In the context of epidemiology, it involves leveraging multiple processors or computers to handle large datasets and run statistical models more efficiently. This approach helps in accelerating the pace of research, especially when dealing with extensive epidemiological data.
