This paper is in the following e-collection/theme issue:

Infodemiology and Infoveillance (1365) HIV/AIDS/STI Prevention and Care (880) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1049)

Published on in Vol 22, No 6 (2020): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17196, first published .
Association Between HIV-Related Tweets and HIV Incidence in the United States: Infodemiology Study

Association Between HIV-Related Tweets and HIV Incidence in the United States: Infodemiology Study

Association Between HIV-Related Tweets and HIV Incidence in the United States: Infodemiology Study

Authors of this article:

Robin Stevens1 Author Orcid Image ;   Stephen Bonett1 Author Orcid Image ;   Jacqueline Bannon1 Author Orcid Image ;   Deepti Chittamuru2 Author Orcid Image ;   Barry Slaff3 Author Orcid Image ;   Safa K Browne4 Author Orcid Image ;   Sarah Huang1 Author Orcid Image ;   José A Bauermeister1 Author Orcid Image
Article Authors Cited by (13) Tweetations (4) Metrics

Journals

  1. Singh T, Roberts K, Cohen T, Cobb N, Wang J, Fujimoto K, Myneni S. Social Media as a Research Tool (SMaaRT) for Risky Behavior Analytics: Methodological Review. JMIR Public Health and Surveillance 2020;6(4):e21660 View
  2. Grabar N, Grouin C. Year 2020 (with COVID): Observation of Scientific Literature on Clinical Natural Language Processing. Yearbook of Medical Informatics 2021;30(01):257 View
  3. Oh J, Bonett S, Kranzler E, Saconi B, Stevens R. User- and Message-Level Correlates of Endorsement and Engagement for HIV-Related Messages on Twitter: Cross-sectional Study. JMIR Public Health and Surveillance 2022;8(6):e32718 View
  4. Jing F, Li Z, Qiao S, Zhang J, Olatosi B, Li X. Using geospatial social media data for infectious disease studies: a systematic review. International Journal of Digital Earth 2023;16(1):130 View
  5. Burgess R, Feliciano J, Lizbinski L, Ransome Y. Trends and Characteristics of #HIVPrevention Tweets Posted Between 2014 and 2019: Retrospective Infodemiology Study. JMIR Public Health and Surveillance 2022;8(8):e35937 View
  6. 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
  7. Hammond N, Moretti A. Data like any other? Sexual and reproductive health, Big Data and the Sustainable Development Goals. Sexualities 2024;27(7):1277 View
  8. Young L, Nan Y, Jang E, Stevens R. Digital Epidemiological Approaches in HIV Research: a Scoping Methodological Review. Current HIV/AIDS Reports 2023;20(6):470 View
  9. Javadi V, Kamfar S, Zeinali V, Rahmani K, Moghaddamemami F. Online information-seeking behavior of Iranian web users on Google about Henoch–Schönlein purpura (HSP): an infodemiology study. BMC Health Services Research 2023;23(1) View
  10. O'Connor K, Golder S, Weissenbacher D, Klein A, Magge A, Gonzalez-Hernandez G. Methods and Annotated Data Sets Used to Predict the Gender and Age of Twitter Users: Scoping Review. Journal of Medical Internet Research 2024;26:e47923 View
  11. Wang Y, Bannon J, Roszkowska N, Wilson E, Bonett S, Lazarus E, Dowshen N, Stevens R. From virus to viral: content analysis of HIV-related Twitter messages among young men in the U.S.. BMC Digital Health 2024;2(1) View
  12. Sun H, Zhang R, Li X, Tang K. Mapping the AIDS Week Health Campaign on Social Media in China: A Mixed-Method Study. Health Communication 2024:1 View

Books/Policy Documents

  1. Cole S, Piotrowski J. Entertainment-Education Behind the Scenes. View