Dr.Xun Shi, Department of Geography, Dartmouth College
Abstract: Disease mapping is more than simply putting disease data on the map. Two major concerns in disease mapping include 1) how to minimize the impact from the background population at risk, and 2) how to evaluate statistical significance for the calculated measurement of local disease intensity. Mapping with aggregate data and mapping with individual data have different strategies in dealing with these two issues. Individual data are preferred whenever they are available, as mapping with aggregate data may suffer from the modifiable areal unit problem (MAUP), the small-number problem, unrealistic assumption, and difficulty in estimating uncertainty. It is possible to disaggregate aggregate data, especially when detailed population at risk data are available.
> See selected slides from the presentation here