Evidence map›Paper›PMID 41831111›Full record

ArticleAIDS and behavior2026

Understanding HIV Vaccine Misinformation and Vaccine Intentions Among Young Women in South Africa: Insights from an Online Survey.

Brendan Maughan-Brown, Teniola I Egbe, Simamkele Bokolo, Megan Rabin, Candice Chetty-Makkan, Melanie Kornides, Lawrence Long, Sophie Pascoe, Sarah Penuela-Wermers, Sander van der Linden and 2 more

Abstract read
In one paragraph

Article in AIDS and behavior, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Brendan Maughan-BrownSouthern Africa Labour and Development Research Unit (SALDRU), University of Cape Town, Cape Town, South Africa. brendan.maughan-brown@uct.ac.za.ORCID http://orcid.org/0000-0002-7606-8744
Teniola I EgbeDepartment of Medical Ethics and Health Policy, University of Pennsylvania, Philadelphia, USA.
Simamkele BokoloHealth Economics and Epidemiology Research Office, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Megan RabinDepartment of Medical Ethics and Health Policy, University of Pennsylvania, Philadelphia, USA.
Candice Chetty-MakkanHealth Economics and Epidemiology Research Office, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Melanie KornidesDepartment of Family and Community Health, University of Pennsylvania, Philadelphia, USA.
Lawrence LongHealth Economics and Epidemiology Research Office, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Sophie PascoeHealth Economics and Epidemiology Research Office, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Sarah Penuela-WermersDepartment of Family and Community Health, University of Pennsylvania, Philadelphia, USA.
Sander van der LindenDepartment of Psychology, University of Cambridge, Cambridge, UK.
Harsha ThirumurthyDepartment of Medical Ethics and Health Policy, University of Pennsylvania, Philadelphia, USA.
Alison M ButtenheimCenter for Health Incentives and Behavioral Economics, University of Pennsylvania, Philadelphia, USA.

Funding

Inoculating and boosting against HIV vaccine misinformation among adolescent girls and young women in South AfricaR01MH132401 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI BUTTENHEIM, ALISON MEREDITH, MAUGHAN-BROWN, BRENDAN GEOFFREY · 2023 to 2024
$1.2M
NIMH NIH HHS R01 MH132401
6 · The paper itself

Abstract

An effective HIV vaccine could significantly reduce HIV incidence, but demand for future HIV vaccines will be affected by misinformation. We conducted an online survey (March-April 2024) to identify the misinformation claims most likely to deter young women in South Africa (n = 188) from receiving an HIV vaccine. Participants rated HIV-vaccine misinformation as most concerning (i.e. would make them not want to get vaccinated) and least concerning (i.e. would not change a decision to get vaccinated). From 54 misinformation claims found in peer-reviewed and grey literature (e.g., reports), participants viewed two sets of 9 randomly chosen claims. Within each set, they selected the 3 most concerning and 3 least concerning claims. Claims were ranked according to their likelihood of being selected as most or least concerning. Misinformation claims that were rated as most concerning were about HIV vaccine safety, particularly those suggesting severe adverse health effects (e.g. the vaccine "will kill you", selected 85% of times viewed). Also rated as concerning were claims that the vaccine was created to harm certain populations (e.g., "designed to sterilise Black women", 60% selected); that the vaccine increases rape and pregnancies (51% selected); and gives you HIV (50% selected). The least concerning misinformation related to the themes of stigma, vaccine efficacy, and the availability of other HIV prevention options. Misinformation that the HIV vaccine causes harm, increases risky behaviour, and gives recipients HIV may have the greatest impact on vaccination intentions. Research is needed to design and test interventions that build resistance to such misinformation.

Indexed as

AIDS VaccinesCommunicationHealth Knowledge, Attitudes, PracticeHIV InfectionsIntentionPatient Acceptance of Health CareVaccinationVaccination HesitancyAdolescentAdultFemaleHumansInternetSouth AfricaSurveys and QuestionnairesYoung AdultAIDS VaccinesAfricaFake newsHIV preventionHIV vaccineMisinformationVaccines

Identifiers

PMID41831111
PMCPMC13400596

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.