Software for Modeling Pros

EpiGear

Version 3.01

Prevent is a multiple risk factor, multiple disease dynamic population model that allows the user to evaluate the benefits of risk factor interventions.

Product Summary

Price: free

 

While Prevent is free, it is not freely available. Please contact us about availability.

Description

Prevent has been around for a long time: its first version, running on DOS, dates back to 1987.  Since then many things have changed and have been added, but the basic idea has remained the same.

Prevent models multiple risk factors and the relationships they have with multiple diseases. Users can specify risk factor interventions, and Prevent will then produce two projections: one with trends in disease incidence and risk factor prevalence, and one with these same trends plus the intervention. The difference between the two then can be attributed to the intervention.

In addition to its role as a research tool, Prevent also is a great tool for teaching. Its seamless integration of epidemiology and demography allows to illustrate the complex effects that result from their interplay. Extensive graphical output, including many dynamic graphs that show developments over time, lets students explore these effects interactively.

A screenshot of Prevent, showing its multiple outputs, including dynamic graphs.

E-mail (preferred): info@epigear.com

Skype: janbarendregt

Phone: +61 7 3102 3093

Workshop on Medical Demography

The Netherlands Institute of Health Sciences (nihes) conducts an annual four-day workshop on Medical Demography (code: HS04), featuring Prevent. and its underlying methodology. For details go to the nihes website.
With sufficient interest, we are also happy to tack on a one-day workshop on compiling valid datasets for Prevent.

Eurocadet

The European Union funded Eurocadet project is using Prevent to make projections of future cancer incidence in Europe, including estimates of how much of this incidence can be prevented. See the Eurocadet website.

Features

 

¨ Multiple risk factors, multiple diseases

¨ Continuous and categorical risk factor distributions

¨ Lag times between risk factor change and change in disease risk

¨ Diseases can be risk factors for other diseases

¨ Fully dynamic population model

¨ Output on disease specific and general level

¨ Extensive graphical output, with simultaneous dynamic graphs