Ontology highlight
ABSTRACT:
SUBMITTER: Chan MS
PROVIDER: S-EPMC7069599 | biostudies-literature | 2018 Jul
REPOSITORIES: biostudies-literature
Chan Man-Pui Sally MS Lohmann Sophie S Morales Alex A Zhai Chengxiang C Ungar Lyle L Holtgrave David R DR Albarracín Dolores D
AIDS and behavior 20180701 7
The present study evaluated the potential use of Twitter data for providing risk indices of STIs. We developed online risk indices (ORIs) based on tweets to predict new HIV, gonorrhea, and chlamydia diagnoses, across U.S. counties and across 5 years. We analyzed over one hundred million tweets from 2009 to 2013 using open-vocabulary techniques and estimated the ORIs for a particular year by entering tweets from the same year into multiple semantic models (one for each year). The ORIs were modera ...[more]