ArcHealth is a toolbox for conducting geospatial analyses in human health studies. ArcHealth functions as an Extension of ArcMap.

Currently, ArcHealth addresses two major applications, including disease mapping and disease-environment association detection.

The primary methodological approach of ArcHealth is a computational one. It intends to use spatial analytical operations and computation-based simulation to replace statistical modeling.

ArcHealth has five modules, including Kernel-based Disease Mapping, Locally Weighted Smoothing, A Darting Method for Detecting Risk Factor, Creating and Analyzing Epidemic Forest of Communicable Diseases and De-identifying Individual Locations with GeoMasker.

Results from the six KRE estimators. These results are based on the same data of disease cases and population at risk. Both fixed bandwidths use the same geographic distance; both background-adaptive bandwidths use the same threshold about population; and both case-adaptive bandwidths use the same threshold about number of cases.

The map of mean P value and the map of standard deviation of P value generated by ArcHealth. They are the final output from ArcHealth for disease mapping.