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Overview

Prevention Research

Mathemetical Modeling

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Modeling

The Sociobehavioral and Prevention Research Core focuses on modeling the impact of behavior changes on HIV transmission.

Mathematical models may be used to:

  • Predict population-level disease outcomes from individual-level behavior
  • Identify network structures that propagate infectious disease transmission
  • Support clinical trial design
  • Model impacts from HIV interventions

HIV researchers have long appreciated the need to understand the social and behavioral determinants of HIV-related risk behavior, but the cumulative impact of individual behaviors on population-level HIV outcomes can be subtle and counterintuitive. Mathematical models are a way to examine the potential effects of the proximate biological and behavioral determinants of HIV transmission dynamics, alone and in combination.

We are available for consultation on mathematical modeling of HIV transmission dynamics
Here are some samples of some of our research collaborations with CFAR affiliates.

Mathematical Modeling Resources:

  1. Brief overview of model types
  2. Software & modeling frameworks
  3. Useful courses and workshops
  4. Bibliography
  5. CFAR Mathematical modeling symposium

For questions on mathematical modeling:

Susan Cassels, PhD
UW Box 353412
(206) 616-2507
Email