The CFAR provides technical assistance in HIV transmission modeling to clinical, social and behavioral researchers.
Network slice: 5 years
This assistance ranges from exploratory descriptive analysis of partnership network data to simulation models for the impact of network structure on transmission. These services enable our researchers to examine the relational contexts of HIV transmission and to investigate the population level impacts of individual level changes.
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.
The CFAR 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.
To request assistance with Mathematical Modeling, please contact email@example.com.