Impact of COVID-19 on HIV Prevention Access: A Multi-platform Social Media Infodemiology Study.
Autor: | Xu Q; S-3 Research LLC, San Diego, CA, USA.; Global Health Policy and Data Institute, Sang Diego, CA, USA., McMann T; S-3 Research LLC, San Diego, CA, USA.; Global Health Policy and Data Institute, Sang Diego, CA, USA.; Global Health Program, Department of Anthropology, University of California, San Diego, San Diego, CA, USA., Godinez H; S-3 Research LLC, San Diego, CA, USA., Nali MC; S-3 Research LLC, San Diego, CA, USA.; Global Health Policy and Data Institute, Sang Diego, CA, USA.; Global Health Program, Department of Anthropology, University of California, San Diego, San Diego, CA, USA., Li J; S-3 Research LLC, San Diego, CA, USA., Cai M; S-3 Research LLC, San Diego, CA, USA., Merenda C; Office of Minority Health and Health Equity, U.S. Food and Drug Administration, Silver Spring, MD, USA., Lee C; Office of Minority Health and Health Equity, U.S. Food and Drug Administration, Silver Spring, MD, USA., Araojo R; Office of Minority Health and Health Equity, U.S. Food and Drug Administration, Silver Spring, MD, USA., Mackey TK; S-3 Research LLC, San Diego, CA, USA. tmackey@ucsd.edu.; Global Health Policy and Data Institute, Sang Diego, CA, USA. tmackey@ucsd.edu.; Global Health Program, Department of Anthropology, University of California, San Diego, San Diego, CA, USA. tmackey@ucsd.edu. |
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Jazyk: | angličtina |
Zdroj: | AIDS and behavior [AIDS Behav] 2023 Jun; Vol. 27 (6), pp. 1886-1896. Date of Electronic Publication: 2022 Dec 05. |
DOI: | 10.1007/s10461-022-03922-z |
Abstrakt: | This study seeks to identify and characterize key barriers associated with PrEP therapy as self-reported by users on social media platforms. We used data mining and unsupervised machine learning approaches to collect and analyze COVID-19 and PrEP-related posts from three social media platforms including Twitter, Reddit, and Instagram. Predominant themes detected by unsupervised machine learning and manual annotation included users expressing uncertainty about PrEP treatment adherence due to COVID-19, challenges related to accessibility of clinics, concerns about PrEP costs and insurance coverage, perceived lower HIV risk leading to lack of adherence, and misinformation about PrEP use for COVID-19 prevention. (© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.) |
Databáze: | MEDLINE |
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