Impact of COVID-19 on HIV Prevention Access: A Multi-platform Social Media Infodemiology Study.
Qing XuTiana McMannHector GodinezMatthew C NaliJiawei LiMingxiang CaiChristine MerendaChristine LeeRichardae AraojoTimothy K MackeyPublished in: AIDS and behavior (2022)
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.
Keyphrases
- social media
- machine learning
- men who have sex with men
- coronavirus disease
- sars cov
- hiv testing
- health information
- hiv positive
- big data
- artificial intelligence
- primary care
- respiratory syndrome coronavirus
- physical activity
- hiv infected
- mental health
- depressive symptoms
- stem cells
- social support
- combination therapy
- metabolic syndrome
- affordable care act
- deep learning
- high throughput
- electronic health record
- health insurance
- glycemic control