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Yadav A, Marcolino LS, Rice E, et al. PSINET: Assisting HIV Prevention Amongst Homeless Youth by Planning Ahead. AI Mag. 2016;37(2):47-62doi: 10.1609/aimag.v37i2.2632.
Yadav, A., Marcolino, L. S., Rice, E., Petering, R., Winetrobe, H., Rhoades, H., Tambe, M., & Carmichael, H. (2016). PSINET: Assisting HIV Prevention Amongst Homeless Youth by Planning Ahead. AI magazine, 37(2), 47-62. https://doi.org/10.1609/aimag.v37i2.2632
Yadav, A, et al. "PSINET: Assisting HIV Prevention Amongst Homeless Youth by Planning Ahead." AI magazine vol. 37,2 (2016): 47-62. doi: https://doi.org/10.1609/aimag.v37i2.2632
Yadav A, Marcolino LS, Rice E, Petering R, Winetrobe H, Rhoades H, Tambe M, Carmichael H. PSINET: Assisting HIV Prevention Amongst Homeless Youth by Planning Ahead. AI Mag. 2016;37(2):47-62. doi: 10.1609/aimag.v37i2.2632. PMID: 27642227; PMCID: PMC5020561.
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AI Mag. 2016;37(2):47-62. doi: 10.1609/aimag.v37i2.2632.

PSINET: Assisting HIV Prevention Amongst Homeless Youth by Planning Ahead.

AI magazine

A Yadav, L S Marcolino, E Rice, R Petering, H Winetrobe, H Rhoades, M Tambe, H Carmichael

Affiliations

  1. University of Southern California, Los Angeles, CA, 90089.
  2. LCSW, Executive Director, My Friend's Place, Los Angeles, CA 90028.

PMID: 27642227 PMCID: PMC5020561 DOI: 10.1609/aimag.v37i2.2632

Abstract

Homeless youth are prone to Human Immunodeficiency Virus (HIV) due to their engagement in high risk behavior such as unprotected sex, sex under influence of drugs, etc. Many non-profit agencies conduct interventions to educate and train a select group of homeless youth about HIV prevention and treatment practices and rely on word-of-mouth spread of information through their social network. Previous work in strategic selection of intervention participants does not handle uncertainties in the social network's structure and evolving network state, potentially causing significant shortcomings in spread of information. Thus, we developed PSINET, a decision support system to aid the agencies in this task. PSINET includes the following key novelties: (i) it handles uncertainties in network structure and evolving network state; (ii) it addresses these uncertainties by using POMDPs in influence maximization; and (iii) it provides algorithmic advances to allow high quality approximate solutions for such POMDPs. Simulations show that PSINET achieves

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