Space–time analysis of disease data has historically involved the search for patterns in
aggregated data to identify how regions of high and low risk change through time. Space–
time analysis of aggregated data has great value, but represents only a subset of space–
time epidemiologic applications. Technological advances for tracking and mapping
individuals (eg, global positioning systems) have introduced mobile populations as an
important element in space–time epidemiology. We review five domains critical to the …