Evidence map›Paper›PMID 42899274›Full record

ArticleProceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences2025

HPV Vaccine Hesitancy in Rural America and Exploring Artificial-Intelligence Interventions.

Young Anna Argyris, Victoria R Nelson, Kyungeun Kwon, Yongsuk Kim, Pang-Ning Tan, Georgia Lehto

Abstract read
In one paragraph

Article in Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences, 2025. 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

6 authors.

Young Anna ArgyrisDepartment of Media and Information, Michigan State University.
Victoria R NelsonDepartment of Advertising and Public Relations, Michgan State University.
Kyungeun KwonKookmin University.
Yongsuk KimDepartment of FinTech, Sungkyunkwan University.
Pang-Ning TanDepartment of Computer Science and Engineering, Michigan State University.
Georgia LehtoCollege of Human Medicine, Michigan State University.

Funding

Development of a vaccine informatics system and its application to identifying the impact of vaccine debate on immunization rates during a global pandemicR21LM013638 · NLM · MICHIGAN STATE UNIVERSITY · PI ARGYRIS, YOUNG ANNA, TAN, PANG-NING · 2021 to 2022
$348k
NLM NIH HHS R21 LM013638
6 · The paper itself

Abstract

This study illuminates human papillomavirus (HPV) vaccine hesitancy in rural America and explores the potential of using chatbot-enabled social media interventions. The results from our nationally representative survey among US parents of adolescents (n = 1,196) show the differences in HPV vaccine uptake between rural, suburban, and urban areas. Our results indicate that rural parents' hesitancy in initializing or continuing the HPV vaccine regimen with their children appears to be a result of a lack of knowledge about the necessity, safety, and efficacy of the vaccine. Chatbots with natural language processing abilities are proposed to educate rural parents about the preventive benefits of HPV vaccines and alleviate their hesitancy. With the increasing broadband Internet connectivity in rural communities, chatbots can create effective and economical interventions. The opportunities created by chatbots, their integration into the existing clinical workflow for vaccine deliveries, and their benefits to healthcare providers are discussed.

Indexed as

artificial intelligencedisparitiesHPV vaccinerural healthsocial media

Identifiers

PMID42899274
PMCPMC13679843

What OpenQuestion holds

Textmetadata
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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.