Evidence map›Paper›PMID 35918372›Full record

ArticleScientific reports2022

Understanding hesitancy with revealed preferences across COVID-19 vaccine types.

Kristóf Kutasi, Júlia Koltai, Ágnes Szabó-Morvai, Gergely Röst, Márton Karsai, Péter Biró, Balázs Lengyel

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Trial
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  10. COVID-19 Vaccines in the Pediatric Population: A Focus on Cardiac Patients.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2024
    Review
  11. Article
  12. Article
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  15. Initial behaviors and attitudes towards the COVID-19 vaccine in sarcoidosis patients: results of a self-reporting questionnaire.Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG · 2023
    Article
  16. Article
  17. Article
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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

7 authors.

Kristóf KutasiDepartment of Economics, Rice University, Houston, TX, 77005-1827, USA.
Júlia KoltaiCentre for Social Sciences, Computational Social Science-Research Center for Educational and Network Studies, 1097, Budapest, Hungary.
Ágnes Szabó-MorvaiHealth and Population Lendület Research Group, Eötvös Loránd Research Network, Centre for Economic and Regional Studies, 1097, Budapest, Hungary.
Gergely RöstBolyai Institute, University of Szeged, 6722, Szeged, Hungary.
Márton KarsaiDepartment of Network and Data Science, Central European University, 1100, Vienna, Austria.
Péter BiróMechanism Design Lendület Research Group, Eötvös Loránd Research Network, Centre for Economic and Regional Studies, 1097, Budapest, Hungary.
Balázs LengyelAgglomeration and Social Networks Lendület Research Group, Eötvös Loránd Research Network, Centre for Economic and Regional Studies, 1097, Budapest, Hungary. lengyel.balazs@krtk.hu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many countries have secured larger quantities of COVID-19 vaccines than their population is willing to take. The abundance and the large variety of vaccines created not only an unprecedented intensity of vaccine related public discourse, but also a historical moment to understand vaccine hesitancy better. Yet, the heterogeneity of hesitancy by vaccine types has been neglected in the existing literature so far. We address this problem by analysing the acceptance and the assessment of five vaccine types. We use information collected with a nationally representative survey at the end of the third wave of the COVID-19 pandemic in Hungary. During the vaccination campaign, individuals could reject the assigned vaccine to wait for a more preferred alternative that enables us to quantify revealed preferences across vaccine types. We find that hesitancy is heterogenous by vaccine types and is driven by individuals' trusted source of information. Believers of conspiracy theories are more likely to evaluate the mRNA vaccines (Pfizer and Moderna) unacceptable. Those who follow the advice of politicians are more likely to evaluate vector-based (AstraZeneca and Sputnik) or whole-virus vaccines (Sinopharm) acceptable. We argue that the greater selection of available vaccine types and the free choice of the individual are desirable conditions to increase the vaccination rate in societies.

Indexed as

COVID-19Urogenital AbnormalitiesVaccinesViral VaccinesCOVID-19 VaccinesHumansPandemicsPatient Acceptance of Health CareVaccinationCOVID-19 VaccinesVaccinesViral Vaccines

Identifiers

PMID35918372
PMCPMC9345393

What OpenQuestion holds

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LicenceCC BY
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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.