Abstract

BackgroundPublic health is increasingly turning to non-traditional digital data to inform HIV prevention and control strategies. We demonstrate a parsimonious method using both traditional survey and internet search histories to provide new insights into HIV testing and pre-exposure prophylaxis (PrEP) information seeking that can be easily extended to other settings.MethodWe modeled how US internet search volumes from 2019 for HIV testing and PrEP compared against expected search volumes for HIV testing and PrEP using state HIV prevalence and socioeconomic characteristics as predictors. States with search volumes outside the upper and lower bound confidence interval were labeled as either over or under performing. State performance was evaluated by (a) Centers for Disease Control and Prevention designation as a hotspot for new HIV diagnoses (b) expanding Medicaid coverage.ResultsTen states over-performed in models assessing information seeking for HIV testing, while eleven states under-performed. Thirteen states over-performed in models assessing internet searches for PrEP information, while thirteen states under-performed. States that expanded Medicaid coverage were more likely to over perform in PrEP models than states that did not expand Medicaid coverage. While states that were hotspots for new HIV diagnoses were more likely to over perform on HIV testing searches.ConclusionOur study derived a method of measuring HIV and PrEP information seeking that is comparable across states. Several states exhibited information seeking for PrEP and HIV testing that deviated from model assessments. Statewide search volume for PrEP information was affected by a state’s decision to expand Medicaid coverage. Our research provides health officials with an innovative way to monitor statewide interest in PrEP and HIV testing using a metric for information-seeking that is comparable across states.

Highlights

  • Public health is increasingly turning to non-traditional digital data to inform human immunodeficiency virus (HIV) prevention and control strategies

  • HIV prevalence was chosen over HIV incidence because we were interested in look at the association between the total number of HIV cases in a state and internet searches for HIV testing and pre-exposure prophylaxis (PrEP) 2) The following state-level socioeconomic attributes we obtained from the 2018 Center for Disease Control and Prevention’s Behavioral Risk Factor Surveillance System (BRFSS): proportion of males, white non-Hispanics, people aged 45 years or older, and people with household income over $50,000 [12]

  • New Hampshire exhibited the greatest difference with − 34.1% less searches than expected, followed by Maine (− 32.2%), Idaho (− 26.1%), Nebraska (− 21.9%), Oregon (− 20.5%), New Mexico (− 18.5%), Mississippi (− 16.8%), Arkansas (− 15.7%), Alabama (− 13.6%), Massachusetts (− 12.4%), Arizona (− 10.3%), Fig. 1 Observed vs. Expected HIV Testing and PrEP Internet Searches as Compared to a Hypothetical Perfectly Fitting Regression Line

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Summary

Introduction

Public health is increasingly turning to non-traditional digital data to inform HIV prevention and control strategies. The most recent data for HIV testing on AIDSvu.org is from 2016 and the most recent AIDSvu.org data on PrEP usage is from 2018 [4] These limitations have driven public health to increasingly turn to digital data, such as news, social media, and internet searches, to learn how people seek HIV information [5,6,7,8]. Internet search trends can be used to investigate public interests as evident by actor Charlie Sheen’s HIV positive disclosure concurring with record levels of Google searches for HIV awareness, HIV testing, and condoms [3] This finding was valid, as it was later confirmed by traditional data after a 16 month delay [7]. These studies show that the use of internet search histories combined with traditional surveillance data has the potential to create synergies that can yield new insights into HIV related health behavior

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