Preventing HIV spread in homeless populations using PSINET : emerging application case study
- Submitting institution
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The University of Lancaster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 156631047
- Type
- E - Conference contribution
- DOI
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- Title of conference / published proceedings
- Proceedings of the 27th Conference on Innovative Applications of Artificial Intelligence (IAAI 2015)
- First page
- 4006
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- -
- Year of publication
- 2015
- URL
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https://www.aaai.org/ocs/index.php/IAAI/IAAI15/paper/view/9275
- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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7
- Research group(s)
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B - Data Science
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work allows social agencies to better spread their messages on how to prevent HIV in the homeless community. It was listed at Mashable.com, as one of the "Top 26 incredible innovations that improved the world". It formed the basis for a follow-up algorithm (HEALER), which was deployed in the Safe Place for Youth -- a homeless drop-in center in Venice Beach, Los Angeles. HEALER was able to spread information to 66% of homeless youth in the network, and there was a 25% self-reported increase in the number of homeless youth who get tested for HIV regularly.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
