Published on in Vol 16, No 11 (2014): November

Using a Geolocation Social Networking Application to Calculate the Population Density of Sex-Seeking Gay Men for Research and Prevention Services

Using a Geolocation Social Networking Application to Calculate the Population Density of Sex-Seeking Gay Men for Research and Prevention Services

Using a Geolocation Social Networking Application to Calculate the Population Density of Sex-Seeking Gay Men for Research and Prevention Services

Journals

  1. Huang D, Wang J, Yang T. Mapping the Spatial–Temporal Distribution and Migration Patterns of Men Who Have Sex with Men in Mainland China: A Web-Based Study. International Journal of Environmental Research and Public Health 2020;17(5):1469 View
  2. Aral S, Torrone E, Bernstein K. Geographical targeting to improve progression through the sexually transmitted infection/HIV treatment continua in different populations. Current Opinion in HIV and AIDS 2015;10(6):477 View
  3. Vaughan A, Kramer M, Cooper H, Rosenberg E, Sullivan P. Completeness and Reliability of Location Data Collected on the Web: Assessing the Quality of Self-Reported Locations in an Internet Sample of Men Who Have Sex With Men. Journal of Medical Internet Research 2016;18(6):e142 View
  4. Vaughan A, Kramer M, Cooper H, Rosenberg E, Sullivan P. Activity spaces of men who have sex with men: An initial exploration of geographic variation in locations of routine, potential sexual risk, and prevention behaviors. Social Science & Medicine 2017;175:1 View
  5. Byron P. Troubling expertise: social media and young people’s sexual health. Communication Research and Practice 2015;1(4):322 View
  6. Chemnasiri T, Beane C, Varangrat A, Chaikummao S, Chitwarakorn A, Van Griensven F, Holtz T. Risk Behaviors Among Young Men Who Have Sex With Men in Bangkok: A Qualitative Study to Understand and Contextualize High HIV Incidence. Journal of Homosexuality 2019;66(4):533 View
  7. Goedel W, Brooks F, Duncan D. Approaches to Sampling Gay, Bisexual, and Other Men Who Have Sex with Men from Geosocial-Networking Smartphone Applications: A Methodological Note. Social Sciences 2016;5(4):51 View
  8. Albury K, Byron P. Safe on My Phone? Same-Sex Attracted Young People’s Negotiations of Intimacy, Visibility, and Risk on Digital Hook-Up Apps. Social Media + Society 2016;2(4) View
  9. Algarin A, Ward P, Christian W, Rudolph A, Holloway I, Young A. Spatial Distribution of Partner-Seeking Men Who Have Sex With Men Using Geosocial Networking Apps: Epidemiologic Study. Journal of Medical Internet Research 2018;20(5):e173 View
  10. Grov C, Cain D, Whitfield T, Rendina H, Pawson M, Ventuneac A, Parsons J. Recruiting a US National Sample of HIV-Negative Gay and Bisexual Men to Complete at-Home Self-Administered HIV/STI Testing and Surveys: Challenges and Opportunities. Sexuality Research and Social Policy 2016;13(1):1 View
  11. Card K, Gibbs J, Lachowsky N, Hawkins B, Compton M, Edward J, Salway T, Gislason M, Hogg R. Using Geosocial Networking Apps to Understand the Spatial Distribution of Gay and Bisexual Men: Pilot Study. JMIR Public Health and Surveillance 2018;4(3):e61 View
  12. Fields E, Long A, Dangerfield D, Morgan A, Uzzi M, Arrington-Sanders R, Jennings J. There’s an App for That: Using Geosocial Networking Apps to Access Young Black Gay, Bisexual, and other MSM at Risk for HIV. American Journal of Health Promotion 2020;34(1):42 View
  13. Chiou P, Ko N, Chien C. Mobile HIV Testing Through Social Networking Platforms: Comparative Study. Journal of Medical Internet Research 2021;23(3):e25031 View
  14. McKitrick M, Schuurman N, Crooks V. Collecting, analyzing, and visualizing location-based social media data: review of methods in GIS-social media analysis. GeoJournal 2022;88(1):1035 View
  15. Sousa L, de Mesquita R, Wiklander M, Eriksson L, Gir E, Reis R. Cultural Adaptation and Validation of the Barriers to HIV Testing Scale-Karolinska Version for Brazilian Men Who Have Sex With Men. Journal of the Association of Nurses in AIDS Care 2023;34(5):481 View
  16. Li Z, Qiao S, Ning H, Sun X, Zhang J, Olatosi B, Li X. Place Visitation Data Reveals the Geographic and Racial Disparities of COVID-19 Impact on HIV Service Utilization in the Deep South. AIDS and Behavior 2024;28(S1):47 View

Books/Policy Documents

  1. Detels R, Karim Q, Baum F, Li L, Leyland A, Sullivan P, Siegler A, Hightow-Weidman L. Oxford Textbook of Global Public Health. View