Using social media as a tool to predict syphilis

Preventive Medicine

Volumn 109, Issue , 2018, Pages 58-61

  Young, Sean D ^a   Mercer, Neil ^a   Weiss, Robert E ^a   Torrone, Elizabeth A ^b   Aral, Sevgi O ^b  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b CENTERS FOR DISEASE CONTROL AND PREVENTION   (United States)

Author keywords

Social media; Syphilis; Twitter

Indexed keywords

ALGORITHM; ARTICLE; DATA MINING; DISEASE ASSOCIATION; DISEASE CONTROL; DISEASE SURVEILLANCE; HIGH RISK BEHAVIOR; INFORMATION PROCESSING; LATENT SYPHILIS; POVERTY; PREDICTION; PREDICTIVE VALUE; PRIORITY JOURNAL; PROPHYLAXIS; PUBLIC HEALTH; SEXUAL BEHAVIOR; SEXUAL INTERCOURSE; SOCIAL MEDIA; SOCIOECONOMICS; SYPHILIS; UNITED STATES; HUMAN; INTERNET; PUBLIC HEALTH SERVICE; STATISTICS AND NUMERICAL DATA;

CENTERS FOR DISEASE CONTROL AND PREVENTION (U.S.); HUMANS; INTERNET; PUBLIC HEALTH; SOCIAL MEDIA; SYPHILIS; UNITED STATES;

EID: 85041386330     PISSN: 00917435     EISSN: 10960260     Source Type: Journal    
DOI: 10.1016/j.ypmed.2017.12.016     Document Type: Article

References (13)

1. CDC Social Media Tools, Guidelines & Best Practices | Social Media | CDC [Internet]. [cited 2016 Oct 31]. Available from: http://www.cdc.gov/socialmedia/tools/guidelines/index.html.
2. Aramaki, E., Maskawa, S., Morita, M., Twitter catches the flu: detecting influenza epidemics using Twitter. Proceedings of the Conference on Empirical Methods in Natural Language Processing [Internet], 2011, Association for Computational Linguistics, Stroudsburg, PA, USA, 1568–1576 [cited 2016 Oct 31]. (EMNLP ‘11). Available from: http://dl.acm.org/citation.cfm?id=2145432.2145600.
3. Centers for Disease Control and Prevention, Recommendations for Public Health Surveillance of Syphilis in the United States [Internet]. Atlanta, GA. Available from: https://www.cdc.gov/std/syphsurvreco.pdf, 2003.
4. Centers for Disease Control and Prevention, 2016 Nationally Notifiable Conditions [Internet]. [cited 2016 Nov 22]. Available from: https://wwwn.cdc.gov/nndss/conditions/notifiable/2016/.
5. Chew, C., Eysenbach, G., Pandemics in the age of Twitter: content analysis of Tweets during the 2009 H1N1 outbreak. PLoS One, 5(11), 2010 Nov 29, e14118, 10.1371/journal.pone.0014118.
6. Eichstaedt, J.C., Status update: stressed, angry, at risk?. Sci. Am. Mind. 27:2 (2016 Mar 1), 62–67.
7. Greenwood, S., Andrew, Perrin, Duggan, M., Social Media Update 2016 [Internet]. 2016, Pew Research Center: Internet, Science & Tech. [cited 2016 Nov 21]. Available from: http://www.pewinternet.org/2016/11/11/social-media-update-2016/.
8. Liu, S., Zhu, M., Yu, D.J., Rasin, A., Young, S.D., Using real-time social media technologies to monitor levels of perceived stress and emotional state in college students: a Web-based questionnaire study. JMIR Ment. Health., 4, 2017, 10.2196/mental.5626.
9. Satterwhite, C.L., Torrone, E., Meites, E., Dunne, E.F., Mahajan, R., Ocfemia, M.C.B. et al., Sexually transmitted infections among US women and men: prevalence and incidence estimates, 2008. Sex. Transm. Dis. 40:3 (2013 Mar), 187–193.
10. Sparling P. Sexually transmitted diseases, Fourth Edition: King Holmes, P. Sparling, Walter Stamm, Peter Piot, Judith Wasserheit, Lawrence Corey, Myron Cohen. In: Sexually Transmitted Diseases [Internet]. Clinical Manifestations of Syphilis. New York: McGraw-Hill; [cited 2016 Nov 22]. p. 661–84. Available from: https://www.amazon.com/Sexually-Transmitted-Diseases-Fourth-Holmes/dp/0071417486.
11. STDs on the Rise Press Release | 2015 | Newsroom | NCHHSTP | CDC [Internet]. [cited 2016 Oct 31]. Available from: http://www.cdc.gov/nchhstp/newsroom/2015/std-surveillance-report-press-release.html.
12. Street 1615 L., NW, Washington S 800, Inquiries D 20036 202 419 4300 | M 202 419 4349 | F 202 419 4372 | M. Social Networking Fact Sheet [Internet]. Pew Research Center: Internet, Science & Tech. 2013 [cited 2016 Oct 31]. Available from: http://www.pewinternet.org/fact-sheets/social-networking-fact-sheet/.
13. Young, S.D., Rivers, C., Lewis, B., Methods of using real-time social media technologies for detection and remote monitoring of HIV outcomes. Prev. Med. 63 (2014 Jun), 112–115, 10.1016/j.ypmed.2014.01.024.