MapReduce is the programming model in Hadoop that allows for parallel processing of large data sets. In epidemiology, this can be used to perform complex analyses such as epidemic modeling, risk factor analysis, and simulation studies. MapReduce breaks down tasks into manageable sub-tasks, processes them concurrently, and aggregates the results, making it efficient for large-scale data computations.