ArticleAIDS and behavior2021
Using Search Engine Data to Explore Interest in PrEP and HIV Testing in the United States.
Article in AIDS and behavior, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- "Do I want PrEP or do I want a roof?": Social determinants of health and HIV prevention in the southern United States.AIDS care · 2022Article
- Relative Effectiveness of Social Media, Dating Apps, and Information Search Sites in Promoting HIV Self-testing: Observational Cohort Study.JMIR formative research · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We used Google search data from January 1, 2014 to January 1, 2019 to explore public awareness of pre-exposure prophylaxis (PrEP) and HIV testing in the United States. Using two search strings, one for PrEP and one for HIV testing, we compared search volume to state HIV prevalence and new HIV diagnoses. We also used Google News to identify news events related to short-term spikes in search volume. Controlling for poverty, education, and internet access, a one-unit increase in a state's HIV prevalence rate was associated with a 3% increase in PrEP search volume (aPR = 1.03 [1.034, 1.037], P < 0.0001) and HIV testing search volume (aPR = 1.03 [1.030, 1.032], P < 0.0001). Short-term search volume spikes also coincided with celebrity news and pharmaceutical company advertising. We demonstrate that search engine data can be a powerful tool for understanding HIV knowledge-seeking and can provide key insight to the events that drive public interest about HIV online.
Indexed as
Identifiers
33033997What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.