ArticlePrevention science : the official journal of the Society for Prevention Research2017
The Charlie Sheen Effect on Rapid In-home Human Immunodeficiency Virus Test Sales.
Article in Prevention science : the official journal of the Society for Prevention Research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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Who cites it
14 citing papers in PubMed.
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- Impact of a health campaign on Chinese public awareness of stroke: evidence from internet search data.BMJ open · 2021Article
- #MeToo and Google Inquiries Into Sexual Violence: A Hashtag Campaign Can Sustain Information Seeking.Journal of interpersonal violence · 2021Article
- Monitoring HIV testing and pre-exposure prophylaxis information seeking by combining digital and traditional data.BMC infectious diseases · 2021Article
- Has National Colorectal Cancer Awareness Month increased endoscopy screening rates and public interest in colorectal cancer?Surgical endoscopy · 2021Article
- Aspects of Point-of-Care Diagnostics for Personalized Health Wellness.International journal of nanomedicine · 2021Review
- Quantifying Public Interest in Police Reforms by Mining Internet Search Data Following George Floyd's Death.Journal of medical Internet research · 2020Article
- Using Google Trends to assess the impact of global public health days on online health information seeking behaviour in Central and South America.Journal of global health · 2020Article
- Collateral Crises of Gun Preparation and the COVID-19 Pandemic: Infodemiology Study.JMIR public health and surveillance · 2020Article
- Article
- Harnessing digital data and data science to achieve 90-90-90 goals to end the HIV epidemic.Current opinion in HIV and AIDS · 2019Review
- Trends in Internet Searches for Cannabidiol (CBD) in the United States.JAMA network open · 2019Article
- Storage Practices of US Gun Owners in 2016.American journal of public health · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
One in eight of the 1.2 million Americans living with human immunodeficiency virus (HIV) are unaware of their positive status, and untested individuals are responsible for most new infections. As a result, testing is the most cost-effective HIV prevention strategy and must be accelerated when opportunities are presented. Web searches for HIV spiked around actor Charlie Sheen's HIV-positive disclosure. However, it is unknown whether Sheen's disclosure impacted offline behaviors like HIV testing. The goal of this study was to determine if Sheen's HIV disclosure was a record-setting HIV prevention event and determine if Web searches presage increases in testing allowing for rapid detection and reaction in the future. Sales of OraQuick rapid in-home HIV test kits in the USA were monitored weekly from April 12, 2014, to April 16, 2016, alongside Web searches including the terms "test," "tests," or "testing" and "HIV" as accessed from Google Trends. Changes in OraQuick sales around Sheen's disclosure and prediction models using Web searches were assessed. OraQuick sales rose 95% (95% CI, 75-117; p < 0.001) of the week of Sheen's disclosure and remained elevated for 4 more weeks (p < 0.05). In total, there were 8225 more sales than expected around Sheen's disclosure, surpassing World AIDS Day by a factor of about 7. Moreover, Web searches mirrored OraQuick sales trends (r = 0.79), demonstrating their ability to presage increases in testing. The "Charlie Sheen effect" represents an important opportunity for a public health response, and in the future, Web searches can be used to detect and act on more opportunities to foster prevention behaviors.
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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.