Literature DB >> 33867493

Estimating the influence of Twitter on pre-exposure prophylaxis use and HIV testing as a function of rates of men who have sex with men in the United States.

Man-Pui Sally Chan1, Alex Morales1, Maria Zlotorzynska2, Patrick Sullivan2, Travis Sanchez2, Chengxiang Zhai1, Dolores Albarracín1.   

Abstract

OBJECTIVES: Acceptance of pre-exposure prophylaxis (PrEP) and testing for HIV is likely to vary as a function of the norms and communications within a geographic area. This study examined associations involving county tweets, in person communications, and HIV prevention and testing in regions with higher (vs. lower) estimated rates of men who have sex with men (MSM). DESIGN AND METHODS: Ecological analyses examined (a) tweets about HIV (i.e. tweet rates per 100 000 county population and topic probabilities in 1959 US counties); (b) individual-level survey data about HIV prevention and testing and communications about PrEP and HIV (N = 30 675 participants); and (c) estimated county-level MSM rates (per 1 000 adult men).
RESULTS: In counties with higher rates of MSM, tweet rates were directly associated with PrEP use and HIV testing (rs = .06, BF10 > 10). Topics correlated with PrEP use (rs = -0.06 to 0.07, BF10 > 10) and HIV testing (rs = -0.05 to 0.05, BF10 > 10). Mediation analyses showed that hearing about and discussing PrEP mediated the relations between tweet rates and PrEP use (bi∗ = 0.01-0.05, BF10 > 100) and between topics and PrEP use (bi∗ = -0.04- 0.05, BF10 > 10). Moreover, hearing about PrEP was associated with PrEP use, which was in turn associated with tweet rates (bi∗ = 0.01, BF10 > 100) and topics (bi∗ = -0.03 - 0.01, BF10 > 10).
CONCLUSIONS: Rates of MSM appear to lead to HIV tweets in a region, in person communications about PrEP, and, ultimately, actual PrEP use. Also, as more men hear about PrEP, they may use PrEP more and may tweet about HIV.
Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.

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Year:  2021        PMID: 33867493     DOI: 10.1097/QAD.0000000000002838

Source DB:  PubMed          Journal:  AIDS        ISSN: 0269-9370            Impact factor:   4.177


  2 in total

1.  Trends and Characteristics of #HIVPrevention Tweets Posted Between 2014 and 2019: Retrospective Infodemiology Study.

Authors:  Raquel Burgess; Josemari T Feliciano; Leonardo Lizbinski; Yusuf Ransome
Journal:  JMIR Public Health Surveill       Date:  2022-08-11

2.  User- and Message-Level Correlates of Endorsement and Engagement for HIV-Related Messages on Twitter: Cross-sectional Study.

Authors:  Jimin Oh; Stephen Bonett; Elissa C Kranzler; Bruno Saconi; Robin Stevens
Journal:  JMIR Public Health Surveill       Date:  2022-06-17
  2 in total

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