An animated depiction of major depression epidemiology.

ABSTRACT:

Background

Epidemiologic estimates are now available for a variety of parameters related to major depression epidemiology (incidence, prevalence, etc.). These estimates are potentially useful for policy and planning purposes, but it is first necessary that they be synthesized into a coherent picture of the epidemiology of the condition. Several attempts to do so have been made using mathematical modeling procedures. However, this information is not easy to communicate to users of epidemiological data (clinicians, administrators, policy makers).

Methods

In this study, up-to-date data on major depression epidemiology were integrated using a discrete event simulation model. The mathematical model was animated in Virtual Reality Modeling Language (VRML) to create a visual, rathe

SUBMITTER: Patten SB 

PROVIDER: S-EPMC1906857 | biostudies-literature | 2007 Jun

REPOSITORIES: biostudies-literature