Evidence map›Paper›PMID 35168839›Full record

ArticleVaccine2022

Public perceptions and the willingness to get vaccinated against COVID-19: Lessons from Israel.

Oren Heller, Yung Chun, Yaniv Shlomo, Ateret Gewirtz-Meydan, Mary Acri, Saneel Kulkarni, Michal Grinstein-Weiss

Open access · greenAbstract read
In one paragraph

Article in Vaccine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 26% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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 at 3 institutions in 2 countries.

Oren HellerWashington University in St. Louis, United States. Electronic address: horen@wustl.edu.
Yung ChunWashington University in St. Louis, United States.
Yaniv ShlomoWashington University in St. Louis, United States.
Ateret Gewirtz-MeydanSchool of Social Work, Faculty of Social Welfare & Health Sciences, University of Haifa, Haifa, Israel.
Mary AcriWashington University in St. Louis, United States.
Saneel KulkarniCentene Corporation, United States.
Michal Grinstein-WeissWashington University in St. Louis - George Warren Brown School of Social Work, United States.
Washington University in St. Louis · USCentene Corporation (United States)University of Haifa · IL

Funding

National Survey of State Policy Decision-making and SimulationP50MH113662 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HORWITZ, SARAH MCCUE · 2019 to 2022
$6.9M
NIMH NIH HHS P50 MH113662
6 · The paper itself

Abstract

objectivesTo explore the associations between vaccine hesitancy and demographic and socio-economic characteristics, as well as perspective towards the COVID-19 and its vaccines.

methodsData were collected through four online surveys on Israel's representative sample in March (3/2 to 3/7, n = 1517), August (8/10-8/11, n = 925; 8/18-8/22, n = 1054), and September (9/22-9/24; n=1406), 2021. We employ a set of logistic regression models to explore the association between the vaccination action and intentions and the individual-level attributes.

resultsWe find that individual characteristics, such as age, ethnicity/religiosity, and income, were associated with the vaccination action and intention during the early stage of vaccine distribution. However, most of the discrepancies across demographic groups have disappeared as time passed, and once we limit to those who had not been infected. Lastly, individuals' perspectives toward COVID-19 and its vaccines have prediction power as high as 39% of the vaccination action and intention, higher than their demographic and socio-economic characteristics. IMPLICATIONS: Our findings have the potential to facilitate efforts to increase vaccine uptake by targeting populations, which are the most likely to express hesitancy, and address reported barriers to receipt.

Indexed as

COVID-19COVID-19 VaccinesHumansIntentionIsraelPublic OpinionSARS-CoV-2VaccinationCOVID-19 Vaccines

Identifiers

PMID35168839
PMCPMC8831127
OpenAlexW4211217979

What OpenQuestion holds

Textmetadata
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.