Modeling the Impact of Post-Diagnosis Behavior Change on HIV Prevalence in Southern California Men Who Have Sex with Men (MSM) View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-08

AUTHORS

Aditya S. Khanna, Steven M. Goodreau, Pamina M. Gorbach, Eric Daar, Susan J. Little

ABSTRACT

Our objective here is to demonstrate the population-level effects of individual-level post-diagnosis behavior change (PDBC) in Southern Californian men who have sex with men (MSM), recently diagnosed with HIV. While PDBC has been empirically documented, the population-level effects of such behavior change are largely unknown. To examine these effects, we develop network models derived from the exponential random graph model family. We parameterize our models using behavioral data from the Southern California Acute Infection and Early Disease Research Program, and biological data from a number of published sources. Our models incorporate vital demographic processes, biology, treatment and behavior. We find that without PDBC, HIV prevalence among MSM would be significantly higher at any reasonable frequency of testing. We also demonstrate that higher levels of HIV risk behavior among HIV-positive men relative to HIV-negative men observed in some cross-sectional studies are consistent with individual-level PDBC. More... »

PAGES

1523-1531

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10461-013-0646-2

DOI

http://dx.doi.org/10.1007/s10461-013-0646-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1016284093

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24165985


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