Mathematical Modeling Training

The CFAR holds periodic trainings for researchers in Mathematical Modeling.

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. 

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 intervention

For more resources on mathematical modeling, click here.

For more information, contact cfarinfo@uw.edu.