An automated surveillance and analysis tool for online STI/HIV behaviors.
As part of a preliminary investigation, proof-of-concept software was developed to automatically retrieve, process, and classify online behaviors related to STI/HIV transmission. 300 online sexual solicitations were automatically collected, processed and characterized by the software using a shallow natural language processor. The results of the software analysis were compared with expert manual coding for agreement. The study demonstrated the feasibility of an automated online behavioral surveillance system.
Deshazo
Jonathan P
JP
Department of Medical Education & Biomedical Informatics, School of Medicien, University of Washington, Seattle, WA, USA.
Karras
Bryant T
BT
D001330:Electronic Data Processing; D005240:Feasibility Studies; D015658:HIV Infections / Q000523:psychology / Q000635:transmission; D006801:Humans; D020407:Internet; D009323:Natural Language Processing; D009862:Online Systems; D011159:Population Surveillance / Q000379:methods*; D012307:Risk Factors; D012725:Sexual Behavior / Q000706:statistics & numerical data*; D012749:Sexually Transmitted Diseases / Q000523:psychology / Q000635:transmission; D012984:Software