1 / 5

visualizing disease and injury rates

visualizing disease and injury rates. Ian Bolliger Institute for Health Metrics and Evaluation. Background. DisMod 3 model produces country-age-sex-year-specific prevalence, incidence, excess mortality Over 20,000 estimates per disease cause Models can be very sensitive to parameter choice

ham
Download Presentation

visualizing disease and injury rates

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. visualizing disease and injury rates Ian Bolliger Institute for Health Metrics and Evaluation

  2. Background • DisMod 3 model produces country-age-sex-year-specific prevalence, incidence, excess mortality • Over 20,000 estimates per disease cause • Models can be very sensitive to parameter choice • Need a way to evaluate plausibility of each disease model along several criteria • Solution: Visualizations

  3. Challenges • Model results stored in several formats (i.e. CSV, JSON) • Model is still evolving • Result formats will continue to change • Need to adapt to researchers desiring new visualizations

  4. Implementation • Two types of summary figures deemed most valuable • Age pattern of disease by region • Scatterplot of age-standardized rate in 1990 and 2010 by country • Class developed to standardize format of model results at country and region level • MeanEstimates • Methods within this class written to produce plots

  5. Results

More Related