The goal of this project is to integrate subject data from local research, clinical and public health entities that are screening for and treating HIV infected individual. Data from these sources will be obtained in a de?identified manner, parsed and then organized into a HIPAA compliant database containing socio?demographic, geographic and phylogenetic information for each subject. The database will be set up to update itself in real?time as new HIV infections are identified in our catchment area. In addition, we will use the viral sequence data to map out the phylogenetic network structure of our local epidemic. We will utilize a background of nationwide sequences obtained HIV sequence repositories to improve the signal in our phylogenetic structures, and use Bayesian maximum likelihood analysis to build these networks in a robust manner, leveraging the bioinformatics expertise at our institution, the University of California, San Diego. We will also update this network structure in a real?time fashion as new infections are identified. Finally we will use this constructed surveillance system to map the socio?demographic, geographic and phylogenetic locations of newly identified acute and early HIV infections, and use this information to direct community specific prevention resources (i.e. needle exchange, education resources etc) with the ultimate goal of preventing HIV transmission clusters from developing or expanding.

Public Health Relevance

This project will build a real-time database with socio-demographic, geographic and phylogenetic data of HIV infected individuals in the San Diego region. This database will be then used to target HIV prevention resources in a efficient manner to hopefully reduce new transmission of HIV.

National Institute of Health (NIH)
National Institute on Drug Abuse (NIDA)
NIH Director’s Pioneer Award (NDPA) (DP1)
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Study Section
Special Emphasis Panel (ZDA1-NXR-B (06))
Program Officer
Lambert, Elizabeth
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University of California San Diego
Internal Medicine/Medicine
Schools of Medicine
La Jolla
United States
Zip Code
Dubé, Karine; Gianella, Sara; Concha-Garcia, Susan et al. (2018) Ethical considerations for HIV cure-related research at the end of life. BMC Med Ethics 19:83
Chaillon, Antoine; Gianella, Sara; Lada, Steven M et al. (2018) Size, Composition, and Evolution of HIV DNA Populations during Early Antiretroviral Therapy and Intensification with Maraviroc. J Virol 92:
Gianella, Sara; Taylor, Jeff; Brown, Timothy R et al. (2017) Can research at the end of life be a useful tool to advance HIV cure? AIDS 31:1-4
Chen, Xin; Ye, Mei; Duo, Lin et al. (2017) First description of two new HIV-1 recombinant forms CRF82_cpx and CRF83_cpx among drug users in Northern Myanmar. Virulence 8:497-503
Chaillon, Antoine; Nakazawa, Masato; Wertheim, Joel O et al. (2017) No Substantial Evidence for Sexual Transmission of Minority HIV Drug Resistance Mutations in Men Who Have Sex with Men. J Virol 91:
Ahn, Mi Young; Wertheim, Joel O; Kim, Woo Joo et al. (2017) Short Communication: HIV-1 Transmission Networks Across South Korea. AIDS Res Hum Retroviruses 33:827-831
Chaillon, Antoine; Smith, Davey M; Vanpouille, Christophe et al. (2017) HIV Trafficking Between Blood and Semen During Early Untreated HIV Infection. J Acquir Immune Defic Syndr 74:95-102
Oliveira, Michelli F; Chaillon, Antoine; Nakazawa, Masato et al. (2017) Early Antiretroviral Therapy Is Associated with Lower HIV DNA Molecular Diversity and Lower Inflammation in Cerebrospinal Fluid but Does Not Prevent the Establishment of Compartmentalized HIV DNA Populations. PLoS Pathog 13:e1006112
Morris, Sheldon R; Zhao, Mitchell; Smith, Davey M et al. (2017) Longitudinal Viral Dynamics in Semen During Early HIV Infection. Clin Infect Dis 64:428-434
Chaillon, Antoine; Essat, Asma; Frange, Pierre et al. (2017) Spatiotemporal dynamics of HIV-1 transmission in France (1999-2014) and impact of targeted prevention strategies. Retrovirology 14:15

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