Publications


Select Publications relating to UCIPT 

This publication demonstrates that Internet searches for opioids might be used to predict future emergency department visits for heroin:

  • Internet Searches For Opioids Predict Future Emergency Department Heroin Admissions
    Authors: Young, S. D., Zheng, K., Chu, L. F., & Humphreys, K.
    Link to Publication

In April 2016, AsterixDB was awarded top-level project status by the Apache Software Foundation (for details, please visit the AsterixDB project website). An overview of AsterixDB may be found in the following paper:

  • AsterixDB: A Scalable, Open Source BDMS
    Authors: Alsubaiee S, Altowim Y, Altwaijry H, Behm A, Borkar V, Bu Y, Carey M, et al.
    Download file: PDF

The Cloudberry demo is explained in this working paper:

  • Towards Interactive Analytics and Visualization on One Billion Tweets
    Authors: Jia J, Li C, Zhang X, Li C, Carey MJ
    Download file: PDF

The following two articles are especially relevant to UCIPT as infrastructure for managing Big Data in support of prediction work:

  • Large-scale Complex Analytics on Semi-structured Datasets using AsterixDB and Spark
    Authors: Alkowaileet W, Alsubaiee S, Carey M, Westmann T, Bu Y
    Download file: PDF
  • BigFUN: A Performance Study of Big Data Management System Functionality
    Authors: Pirzadeh P, Carey M, Westmann T
    Download file: PDF

List of Peer-Reviewed Publications

  • Kay, A., Jost, J., & Young, S. (2005). Victim derogation and victim enhancement as alternative routes to system justification, Psychological Science (7), 240-246.
  • Young, S.D., Adelstein, A.D. & Ellis, S.R. (2006). Motion Sickness in a Virtual Environment, Proceedings from IEEE Virtual Reality 2006.
  • Young, S.D., & Oppenheimer, D. (2006). Different methods of presenting risk information and their influence on medication compliance intentions: Results of three studies, Clinical Therapeutics, 28(1), 129-139.
  • Young, S.D., Nussbaum, D., & Monin, B. (2007). Potential moral stigma and reactions to sexually transmitted diseases: Evidence for a disjunction fallacy, Personality and Social Psychology Bulletin, 33(6), 789-799.
  • Young, S.D., Adelstein, A.D. & Ellis, S.R. (2007). Demand Characteristics in assessing motion sickness in a virtual environment, IEEE Transactions on Visualizations and Computer Graphics.
  • Bendavid, E., Young, S.D., Katzenstein, D.A., Bayoumi, A., Sanders, G., & Owens, D. (2008). Cost effectiveness of HIV management strategies in resource-limited settings- A South African analysis. Archives of Internal Medicine, 168(17):1910-1918. PMCID: PMC2894578
  • Young, S.D., Monin, B., & Owens, D. (2009). Opt-out testing for stigmatized diseases: A social psychological approach for understanding the potential effect of recommendations for routine HIV testing. Health Psychology, 28(6), 675-681.
  • Young, S.D., Dutta, D. & Dommety, G. (2009). Extracting psychological insights from Facebook profiles. CyberPsychology and Behavior, 12(3), 347-350.
  • Young, S.D. & Oppenheimer, D. (2009). Effect of communication method on risk perception and treatment adherence intentions. Psychology, Health and Medicine, 14(4), 430-442.
  • Shoptaw, S., Weiss, R., Munjas, B., Hucks-Ortiz, C., Young, S.D., Larkins, S., et al. (2009). Homonegativity, substance use, sexual risk behaviors, and HIV-status in poor and ethnic men who have sex with men in Los Angeles. Journal of Urban Health, 86(Supp 1), 77-92.
  • Young, S.D. & Bendavid, E. (2010) The relationship between HIV testing, stigma, and health services usage. AIDS Care, 22(3), 373-80.
  • Young, S.D., Hlavka, Z., Modiba, P., & Gray, G., van Rooyen, H., Szekeres, G., & Coates, T., (2010). HIV-related stigma, social norms, and HIV testing in Soweto and Vulindlela, South Africa: NIMH Project Accept (HPTN043). JAIDS, 55(5), 620-4. PMCID: PMC3136617
  • Rice, E., Monro, W., Adhikari, A., & Young, S.D. (2010). Internet Use, Social Networking, and HIV risk for Homeless Adolescents. Journal of Adolescent Health, 47(6), 610-13. PMCID: PMC2994071
  • Young, SD. & Rice, E. (2011). Online social networking technologies, HIV knowledge, and sexual risk and testing behaviors among homeless youth. AIDS and Behavior, 15(2), 253-60. PMCID: PMC3029467
  • Young, S.D., Konda, K., Caceres, C., Galea, J., Lee, S., Salazar, X., & Coates, T. (2011). Effect of a community popular opinion leader HIV/STI intervention on stigma in urban, coastal Peru. AIDS and Behavior, 15(5), 930-7. PMCID: PMC3110996
  • Young, S.D., Shoptaw, S. Weiss, R., Munjas, B., Gorbach, P.M. (2011). Predictors of unrecognized HIV infection among poor and ethnic men who have sex with men in Los Angeles. AIDS and Behavior, 15(3), 643-9. PMCID: PMCID: PMC3029495
  • Young, S.D. (2011). Health Provider Recommendations for using online social networks to reduce online health misinformation. OJHAS, 10(2), 2.
  • Young, S. (2012). Analysis of online social networking peer health educators. Studies in Health Technology and Informatics, 181, 253-9. PMCID: PMC in process.
  • Jaganath D, Gil H, Cohen A, Young SD. Harnessing Online Peer Education (HOPE): Integrating C-POL and social media to train peer leaders in HIV prevention. (2012). AIDS Care, 24(5):593-6. PMCID: PMC3342451
  • Young, S.D. & Jaganath, D. Using social networking for mixed methods HIV prevention research. (2012). Journal of Mobile Technology in Medicine, 1(4s): 40.
  • Young, S.D., & Zhu, Y. (2012). Behavioral Evidence of HIV Testing Stigma. AIDS and Behavior, 16(3), 736-40.
  • Young, S.D., Szekeres, G., Coates, T. Sexual risk and HIV prevention behaviours among African-American and Latino MSM social networking users. (2013). International Journal of STD and AIDS, 24(8), 643-9. PMCID: PMC3855428
  • Gil, H., Gil, N., & Young, S.D. (2013). Online technologies for health information and education: A literature review. Journal of Consumer Health on the Internet, 17(2), 139-150. PMCID: PMC3920588
  • Young S.D., Shoptaw S. (2013). Stimulant use among African American and Latino MSM social networking users. Journal of Addictive Diseases, 32(1):39-45. PMCID: PMC3825678
  • Young, S., Zhao, M., Tieu, K., Kwok, J., Gill, H., Gill., N. (2013). A social media-based HIV prevention intervention using peer leaders. Journal of Consumer Health on the Internet, 17(4), 353-361.
  • Young, S.D., & Jordan, A. (2013). The influence of social networking photos on social norms and sexual health behaviors. Cyberpsychology, Behavior, and Social Networking, 16(4), 243-247. PMCID: PMC3624629
  • Young, S.D. (2012). Recommended guidelines for using social networking for HIV prevention research. AIDS and Behavior, 16(7): 1743-5. PMC3459230
  • Young, S.D., Harrell, L., Jaganath, D., Cohen, A.C., & Shoptaw, S. (2013). Feasibility of recruiting peer educators for an online social networking-based health intervention. Health Education Journal, 72(3), 276-282.
  • Young, S.D. (2013). Social networking and diffusion of risks and interventions among youth. Sexually Transmitted Infections, S1, S.15.
  • Rivers, C., Lewis, B., & Young, S.D. (2013). Detecting the determinants of Health in Social Media. Online Journal of Public Health Informatics, 5(1), e161.
  • Young S.D., Jaganath D. Online social networking for HIV education and prevention: A mixed-methods analysis. (2013). Sexually Transmitted Diseases, 40(2):162-7. PMCID: PMC3869787
  • Young S.D., Szekeres G, Coates T. (2013). The relationship between online social networking and sexual risk behaviors among men who have sex with men (MSM). PLOS ONE, 8(5). PMCID: PMC3642936
  • Young S.D., Cumberland W, Lee SJ, Jaganath D, Szekeres G, Coates T. (2013). Social networking technologies as emerging tools for HIV prevention: A randomized controlled trial. Annals of Internal Medicine, 159(5):318-324. [PubMed – in process]
  • Young .S.D., Klausner, J., Flynn, R., Bolan, R. (2014).Electronic vending machines for dispensing rapid HIV self-testing kits: A case study. AIDS Care, 26(2), 267-9. PMCID: PMC3917319
  • Young, S.D. & Jaganath, D. (2014). Feasibility of using social networking for mixed methods health research among men who have sex with men: A mixed methods study. American Journal of Mens Health, 8(1), 6-14. PMCID: PMC3879119
  • Young, S.D., Chiu, J. (2014). Use of Mobile Technologies for HIV Prevention, Testing, and Treatment: Evidence, Suggestions, and the Way Forward. JMTM, 3(1s), 1-3.
  • Smith, A. & Young, S.D. (2014). Marketing, Technology, and Medicine: Recommendations on How to Incorporate Psychological Principles into New Technologies to Promote Healthy Behaviors, JCHI, 18(3).
  • Young, SD., Holloway, I., Swendeman, D. (2014). Incorporating guidelines for use of mobile technologies in health research and practice. International Health, 6(2), 79-81. PMCID: PMC4110476
  • Young, S.D., Shakiba, A., Kwok, J., Montazeri, M.S. (2014). The influence of online social networking on female religious veil-wearing behavior in Iran. Cyberpsychology, Behavior, and Social Networking, 17(5), 317-21. PMCID: PMC4012633
  • Young, S.D. (2014). Social media technologies for HIV prevention study retention. AIDS and Behavior, 18(9), 1625-1629.
  • Chiu, C., Menacho, L. & Young, S.D. (2014). The association between age and ethics-related issues in using social media for HIV prevention in Peru. Ethics and Behavior. 12: 1-11 DOI:10.1080/10508422.2014.991868
  • Marlin, W.,Young, S.D., Bristow, C.C.,Wilson, G., Rodriguez, J., Ortiz, J., Mathew, R., and Klausner, J.D. (2014). Piloting an HIV self-test kit voucher program to raise serostatus awareness of high-risk African Americans, Los Angeles. BMC Public Health. 14:1226  doi:10.1186/1471-2458-14-1226
  • Young, S.D., Daniels, J., Chiu, C., Kwok, J., Flynn, R., Bolan, R., & Klausner, J.D. (2014). Acceptability of using electronic vending machines to deliver oral rapid HIV self-testing kits: A qualitative study, PLOS ONE, 9(7): e103790. PMCID: PMC4116256
  • Young, S.D., Holloway, I., Jaganath, D., Rice, E., Westmoreland, D., Coates, T. (2014) Project HOPE: Online social network changes in an HIV prevention RCT for African American and Latino Men who have Sex with Men. American Journal of Public Health, 104(9).
  • Young, S.D., Rivers, K., & Lewis, B. (2014). Methods of using real-time social media technologies for detection and remote monitoring of HIV outcomes. Preventive Medicine 63: 112-15 PMCID: PMC4031268
  • Young, S.D. (2014). Behavioral insights on big data: Using social media for predicting biomedical outcomes. Cell: Trends in Microbiology. 22(11): 601-602 DOI:10.1016/j.tim.2014.08.004
  • Chiu, C & Young, S.D. (2015). The Relationship Between Online Social Network Use, Sexual Risk Behaviors, and HIV Sero-Status Among a Sample of Predominately African American and Latino Men Who have Sex with Men (MSM) Social Media Users. AIDS and Behavior, 19(supp2).
  • Young, S.D., Belin, T., Klausner, J. and Valente, T. (2015). Methods for Measuring Diffusion of a Social Media-Based Health Intervention. Social Networking, 4(2), 41-46.
  • Chiu, J., Menacho, L. , Fisher, C., and Young, S.D. (2015). Ethics issues in social media-based HIV prevention in low- and middle-income countries. Cambridge Quarterly of Healthcare Ethics, 24(3).
  • Young, S.D., Swendeman, D., Holloway, I.W., Reback, C.J., and Kao, U. (2015). Use of Technology to Address Substance Use in the Context of HIV: A Systematic Review. Current HIV/AIDS Reports, 12(4).
  • Menacho, L. Galea, J., & Young, S.D. (2015). Feasibility of recruiting peer educators to promote HIV testing using Facebook among men who have sex with men in Peru. AIDS and Behavior, 19(2).
  • Young, S.D. (2015). A “big data” approach to HIV Epidemiology and Prevention. Preventive Medicine, 70(17).
  • Krueger, E. & Young, S.D. (2015). Twitter: A Novel Tool for Studying the Health and Social Needs of Transgender Communities. JMIR Mental Health, 2(2), e16.
  • Young, S.D. Cumberland W., Nianogo, R., Menacho L., Galea, J., & Coates T. (2015). The HOPE Social Media Intervention for Global HIV Prevention: A Cluster Randomized Controlled Trial in Peru. Lancet HIV, 2(1).
  • Chiu, C., Menacho, L., & Young, S.D. (2016). The Association Between Age and Ethics-Related Issues in Using Social Media for HIV Prevention in Peru. Ethics and Behavior, 26(2).
  • Garett, R., Smith, J., Chiu, J., & Young, S.D. (2016). HIV/AIDS stigma among primarily African American and Latino men who have sex with men (MSM) social media users. AIDS Care, 28(6).
  • Daniels, J., Rosengren, L., Young, S.D., & Klausner, J. (2016). Will men who have sex with men use short messaging services to send photos of completed HIV self-tests to researchers? Journal of the Association of Nurses in AIDS Care, 27(5).
  • Garett, R., Chiu, C., Zhang, L., Young, S.D. (2016). A Literature Review: Website Design and User Engagement. OJCMT, 6(3).
  • Chiu, C & Young, S.D. (2016). Correlates of requesting home HIV self-testing kits on online social networks among African American and Latino men who have sex with men (MSM). AIDS Care, 28(3).
  • Krueger, E. Chiu, C., Menacho, L., & Young, S.D. (2016). HIV testing among social media-using Peruvian men who have sex with men: correlates and social context. AIDS Care, 28(10).
  • Davey, J., Bustamonte, M.J., Wang, D., Young, S.D., Klausner, J.D. (2016). Prep continuum of care for MSM in Atlanta and Los Angeles. Clinical Infectious Diseases, 62(3).
  • Garett, R., Smith, J., and Young, S.D. (2016). A Review of Social Media Technologies Across the Global HIV Care Continuum. Current Opinion in Psychology, 1(9).
  • Huang, E., Marlin, R., Young, S.D., Medline, A., and Klausner, J.D. (2016). Using Grindr, a Smartphone Social-Networking Application, to Increase HIV Self-Testing Among Black and Latino Men Who Have Sex With Men in Los Angeles, 2014. AIDS Education and Prevention, 28(4).
  • Garett, R., Liu, S., and Young, S.D. (2016). The Relationship Between Social Media Use and Sleep Quality among Undergraduate Students. Information, Communication, and Society.
  • Liu, S. & Young, S.D. (2016). A survey of social media data analysis for physical activity surveillance. Journal of Forensic and Legal Medicine.
  • Garett, R., & Young, S.D. (2016). Associations Between Social Media and Cyberbullying: A Review of the Literature. mHealth. PMCID: PMC5344141
  • Rosengren AL, Huang E, Daniels J, Young S.D., Marlin RW, Klausner JD. (2016). Feasibility of using GrindrTM to distribute HIV self-test kits to men who have sex with men in Los Angeles, California. Sexual Health. 2016 May 23. doi: 10.1071/SH15236.
  • Bychkov, D., & Young, S.D. (2017). Social Media as a Tool to Reduce Sexual Misconduct in Medical Facilities. American Journal of Medical Quality. PMID: 28134559
  • Garett, R, Menacho, M., Young, S.D. (2017). Ethical Issues in using social media to deliver an HIV prevention intervention: Results from the HOPE Peru Study. Prevention Science. PMCID: PMC5726406
  • Melvin, S., Yu, W. Young, S.D., Wang, W. (2017). Event Detection and Summarization using Phrase Networks: PhraseNet. Proceedings of the European Conference on Machine Learning Principles and Practice of Knowledge Discovery in Databases (PKDD).
  • Medline A, Daniels J, Marlin R, Young S.D., Wilson G, Huang E, Klausner JD. (2017). HIV Testing Preferences Among MSM Members of an LGBT Community Organization in Los Angeles. J Assoc Nurses AIDS Care. 2017 May – Jun;28(3):363-371. doi:10.1016/j.jana.2017.01.001. Epub 2017 Jan 12.
  • Bychkov, D. & Young, S.D. (2017). Social Media as a Tool to Monitor Adherence to HIV Antiretroviral Therapy. Journal of Clinical and Translational Research, 2017, 3(S3): 2. Published online: March 20, 2018. DOI: http://dx.doi.org/10.18053/jctres.03.2017S3.002
  • R., Liu, S., & Young, S.D. (2017). A Longitudinal Analysis of Stress Among Incoming College Freshman. Journal of American College Health. PMID: 28362146
  • Liu, S., Yu, D.J. Zhu, M., Rasin, A., Young, S.D. (2017). Using Real-Time Social Media Technologies to Monitor Levels of Perceived Stress and Emotional State in College Students: A Web-Based Questionnaire Study. Journal of Medical Internet Research (JMIR). PMCID: 5263861
  • Young, S.D. & Heinzerling, K. (2017). The Harnessing Online Peer Education (HOPE) Intervention for Reducing Prescription Drug Abuse: A Qualitative Study. Journal of Substance Abuse. PMCID: PMC5854394
  • Young, S.D., Wu, W., & Wang, W. (2017). Toward Automating HIV Identification: Machine Learning for Rapid Identification of HIV-related Social Media Data. Journal of AIDS (JAIDS). PMID: 28079723
  • Utengen, A., Rouholiman, D., Gamble, J.G., Grajales, F.J., Pradhan, N., Staley, A. C., Bernstein, L., Young, S.D., Clauson, K.A., Chu, L.F. (2017). Patient participation at health care conferences: Engaged patients increase information flow, expand propagation, and deepen engagement in the conversation of tweets compared to physicians or researchers, Journal of Medical Internet Research (JMIR). PMID: 28818821
  • Daniels, J., Marlin, R., Medline, A., Young, S.D., Klausner, J. (2018). Getting HIV self-test kits into the home for young African American MSM in Los Angeles: A qualitative report. Journal of the Association of Nurses in AIDS Care. PMCID: PMC5742295
  • Garett, R., Krueger, E., & Young, S.D. (2018). Racial disparities in social media use, sexual risk behaviors, and HIV/AIDS stigma among men who have sex with men. HIV & AIDS Review. International Journal of HIV-Related Problems, 17(3), 176-180. https://doi.org/10.5114/hivar.2018.78489
  • Garett, R., Young, S.D. (2018). Risk behaviors among sexual partners of African American and Latino online social network–using men who have sex with men, HIV & AIDS Review. DOI: https://doi.org/10.5114/hivar.2018.76372
  • Liu, S., Zhu, M., & Young, S.D. (2018). Monitoring Freshman College Experience using Twitter: A content analysis of Tweets, JMIR Public Health and Surveillance. PMID: 29326096
  • Stafylis, C., Murky, J.A., McGrath, M., Natoli, L., Young, S.D., Klausner, J. (2018). Vending machines in commercial sex venues to increase HIV self-testing among men who have sex with men, mHealth. PMCID: PMC6232061
  • Young, S.D. & Garett, R. (2018). Ethical Issues in Addressing Social Media Posts about Suicidal Intentions During an Online Study among Youth: A Case Study JMIR Mental Health. PMCID: PMC5958279
  • Young, S.D. (2018). Robots’ Potential Social Influence on Conformity among Children. Science – Robotics. 3, Issue 21, eaat7111, available electronically at http://robotics.sciencemag.org/content/3/21/eaat7111/tab-e-letters
  • Young, S.D., Mercer, N., Weiss, R., Torrone, L,. Aral, S.O. (2018). Using Social Media as a Tool to Predict Syphilis. Preventive Medicine. PMID: 29278678
  • Young, S.D., Zheng, K., Chu, L., Humphreys, K. (2018). Internet Searches for Opioids Predict Future Emergency Department Heroin Admissions. Drug and Alcohol Dependence. PMID: 30036853
  • Zhang, Q., Chayi, C., Young, S.D., Xiao, M. (2018). Using internet search data to predict new HIV diagnoses in China: A modeling study, BMJ Open. PMCID: PMC6196849
  • Gill, H. & Young, S.D. (2019) Exploring cannabis use reasons and experiences among mobile cannabis delivery patients, Journal of Substance Use, 24:1, 15-20, DOI: 1080/14659891.2018.1489012
  • Davis, A.K, Arterberry, B.J., Schneeberger, D., Bonar, E.E., Bauermeister, J., Young, S.D., Cunningham, R., Walton, M. Evaluation of the Dualistic Model of Passion for Alcohol Consumption among Emerging Adults Engaged in Risky Drinking. Addiction Research and Theory.
  • Garett, R., & Young, S.D. (In press). Health Care Gamification: A Study of Game Mechanics and Elements. Technology, Knowledge, and Learning (TKNL).
  • Plant, A., Montoya, J., Javanbakht, M., , S.D., Klausner, J.O. (In press). Test4HepC: promoting hepatitis C testing to baby boomers using social media. Health Promotion Practice.
  • Wang, Y., Liu, S., Wu, W., Young, S.D. (In press). The relationship between social media data and crime rates in the United States. Social Media and Society.
  • Young, S.D., Lee, J., Koussa, M., Perez, H., Gill, N., Gelberg, L., Heinzerling, K. (In press). Feasibility of a Social Media Intervention as an Engagement Tool for Opioid Patients with Chronic Pain. Journal of Addictive Diseases.
  • Young, S.D., Torrone, L., & Aral, S. (In Press). Using search engine data as a tool to predict syphilis. Epidemiology.PMCID: PMC5990018
  • Shehada ER, He L, Eikey E, Jen M, Wong A, Young SD, Zheng K. (2019). Characterizing frequent flyers of an emergency department using cluster analysis. In:Proceedings of the 2019 World Congress on Health and Biomedical Informatics (MEDINFO 19).
  • Shah, M., Garett, R., Hristidis, V., Young, S.D. (2019). Anonymous social media for identifying cyberbullying among college students. Proceedings from HICCS 2019.
  • Jiang, J., Sun, X., Wang W. and Young, S.D. (In press). Enhancing Air Quality Prediction with Social Media and Natural Language Processing. Proceedings from Association of Computational Linguistics, 2019.
  • Li, D.H, Brown, C.H., Gallo, C., Morgan, E., Sullivan, P., Young, S.D., Mustanski, B. Design Considerations for Implementing eHealth Behavioral Interventions for HIV Prevention in Evolving Sociotechnical Landscapes, Current HIV/AIDS Reports.
  • Benbow, N., Kirkpatrick, C., Gupta, A., Villamar, J., Chernyshov, K., Cramer, N., Mena, L., Mayer, R., Young, S.D. (In Press). A Mixed-Methods Iterative Process of Integrating and Developing Big Data Modeling and Visualization Tools for Public Health Officials, Sage Research Methods Cases.
  • Young, S.D., Wang, W., Chakravarthy, B. (In press). Crowdsourced Traffic Data as an Emerging Tool to Monitor Car Crashes. Journal of American Medical Association (JAMA): Surgery.
  • Jiang, J.Y., Zehan C., Bertozzi, A.L., Wang, W., Young, S.D., Needell, D. (In Press). Learning to Predict Human Stress Level with Incomplete Sensor Data from Wearable Devices. Proceedings from the 28th ACM International Conference on Information and Knowledge Management (CIKM ’19)
  • Melvin, S., Jamal, A., Wang, W., Young, S.D. (In Press). Assessing Sleep Quality Using a Wearable Activity and Sleep Tracking Device. JMIR Mental Health.