CIETmap

CIETmap integrates epidemiological analysis tools with raster and vector mapping capabilities geared towards decision-making for planners.

It includes a Windows interface with the statistical programming language, R. Neil Andersson conceived of and designed CIETmap and, with Steven Mitchell, defined its functionality.

NumPy provides analytical and calculation support and RPy is the Python access to R. The CIET group is currently testing CIETmap to make it available to communities and researchers.

Other features are available through user friendly interfaces such as meta-analysis, regression modelling, and Bayesian inference.Mapping: The CIETmap module creates interpolated raster maps out of data from sample communities.

A morph/animation module can help make predictions based on epidemiological risk analysis (such as the likely impact of an intervention), or show changes in a situation over time –i.e.

CIETmap includes CIETanalysis, a tool for epidemiological analysis.
The CIETmap module creates interpolated raster maps out of data from sample communities.
Animation makes it easier for viewers to follow changes, as they happen–or would happen–in each place on the map.