We demonstrate the application of the Markov ranking method in a public health setting. We use census-tract level data from the CDC's 500 cities project and rank different areas within Manhattan based on the crude prevalence of 23 health conditions. Such a ranking can be used to prioritize areas for public health interventions.

Learning Objective: Describe how to use Markov chains to aggregate health metric and create rankings

Authors:

Abdul Tariq (Presenter)
NewYork-Presbyterian

Beatriz Ryan-Lora, NewYork-Presbyterian
Andres Nieto, NewYork-Presbyterian Hospital
Kui Tang, NewYork-Presbyterian
David Vawdrey, NewYork-Presbyterian

Presentation Materials:

• Abstract/Manuscript - 1