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Analyzing Social Media to Characterize Local HIV At-risk Populations

, , , , and . Proceedings of the Conference on Wireless Health, page 11:1--11:8. New York, NY, USA, ACM, (2015)
DOI: 10.1145/2811780.2811923

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HIV Risk on Twitter: the Ethical Dimension of Social Media Evidence-based Prevention for Vulnerable Populations., , , , and . HICSS, page 1-10. ScholarSpace / AIS Electronic Library (AISeL), (2017)Analyzing Social Media to Characterize Local HIV At-risk Populations, , , , and . Proceedings of the Conference on Wireless Health, page 11:1--11:8. New York, NY, USA, ACM, (2015)Differentially Private Continual Release of Graph Statistics., , , , and . CoRR, (2018)A practical online tool to estimate antiretroviral coverage for HIV infected and susceptible populations needed to reduce local HIV epidemics, , , , , and . Scientific Reports, (2016)Incorporating metadata in HIV transmission network reconstruction: A machine learning feasibility assessment., , and . PLoS Comput. Biol., (2021)Development and validation of the San Diego Early Test Score to predict acute and early HIV infection risk in men who have sex with men, , , , , , , , and . Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America, 61 (3): 468--475 (August 2015)Development and Validation of the San Diego Early Test (SDET) Score to Predict Acute and Early HIV Infection Risk in Men who have Sex with Men, , , , , , , , and . Clinical Infectious Diseases, (April 2015)