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.
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