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Using HIV networks to inform real time prevention interventions.
Susan J Little1, Sergei L Kosakovsky Pond1, Christy M Anderson1
1Department of Medicine, University of California, San Diego, La Jolla, California, United States of America.
Plos One
|June 6, 2014
Summary
Researchers mapped the HIV-1 transmission network using genetic data to identify high-risk individuals. Targeting interventions like antiretroviral therapy (ART) to these individuals significantly reduced HIV transmission within the network.
Area of Science:
- Epidemiology
- Virology
- Network Analysis
Background:
- Understanding local HIV-1 transmission dynamics is crucial for effective public health interventions.
- Previous studies have focused on broader transmission patterns, necessitating a more granular, network-based approach.
Purpose of the Study:
- To reconstruct the local HIV-1 transmission network in San Diego from 1996 to 2011.
- To develop and validate a network-based risk score (TNS) for identifying individuals at high risk of transmitting HIV-1.
- To evaluate the potential of targeted interventions, such as antiretroviral therapy (ART), in reducing HIV transmission within the network.
Main Methods:
- Analysis of HIV-1 pol gene sequences from 478 recently infected individuals and 170 contacts to infer transmission links.
- Development of a transmission network score (TNS) to quantify individual transmission risk.
- Correlation of TNS with behavioral risk factors and simulation of ART-targeted interventions.
Main Results:
- Over 52% of analyzed HIV-1 pol sequences clustered, indicating recent transmissions within the network.
- A high TNS was significantly associated with increased sexual risk behaviors and predicted transmission risk.
- Simulations demonstrated that targeted ART delivery to high-TNS individuals substantially reduced network-level HIV transmission.
Conclusions:
- HIV-1 sequence data can effectively characterize local transmission networks among recently infected individuals and their contacts.
- The TNS is a valuable tool for identifying individuals with high transmission risk and guiding targeted prevention efforts.
- Network-informed strategies, including ART, can significantly interrupt HIV-1 transmission pathways.
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