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Curr Opin HIV AIDS. 2011 Mar;6(2):119-23. doi: 10.1097/COH.0b013e328343acad.

Interaction of mathematical modeling and social and behavioral HIV/AIDS research.

Author information

1
Departments of Epidemiology & Global Health, University of Washington, Seattle, Washington, USA. scassels@uw.edu

Abstract

PURPOSE OF REVIEW:

HIV is transmitted within complex biobehavioral systems. Mathematical modeling can provide insight to complex population-level outcomes of various behaviors measured at an individual level.

RECENT FINDINGS:

HIV models in the social and behavioral sciences can be categorized in a number of ways; here, we consider two classes of applications common in the field generally, and in the past year in particular: those models that explore significant behavioral determinants of HIV disparities within and between populations; and those models that seek to evaluate the potential impact of specific social and behavioral interventions.

SUMMARY:

We discuss two overarching issues we see in the field: the need to further systematize effectiveness models of behavioral interventions, and the need for increasing investigation of the use of behavioral data in epidemic models. We believe that a recent initiative by the National Institutes of Health will qualitatively change the relationships between epidemic modeling and sociobehavioral prevention research in the coming years.

PMID:
21505386
PMCID:
PMC3091501
DOI:
10.1097/COH.0b013e328343acad
[Indexed for MEDLINE]
Free PMC Article
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