Evidence map›Paper›PMID 34856879›Full record

ArticleHuman vaccines & immunotherapeutics2021

Measuring vaccination willingness in response to COVID-19 using a multi-criteria-decision making method.

Adnan Sarwar, Naima Nazar, Nimra Nazar, Alia Qadir

Open access · greenAbstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 17% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

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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

4 authors at 4 institutions in 1 country.

Adnan SarwarDepartment of Economics and Business Management, University of Veterinary and Animal Sciences, Lahore, Pakistan.
Naima NazarDepartment of Botany, Lahore College for Women University, Lahore, Pakistan.
Nimra NazarDepartment of Pharmaceutical Science, GC, University Faisalabad, Faisalabad, Pakistan.
Alia QadirDepartment of Management Science, Riphah International University Faisalabad Campus, Pakistan.
Lahore College for Women University · PKRiphah International University · PKUniversity of Faisalabad · PKUniversity of Veterinary and Animal Sciences · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pandemic COVID-19 is continued to the massive burden of morbidity and mortality while disrupting economies and societies all over the world. At an earlier stage, wearing a face mask, social distancing, and hand hygiene were suggested to limit the transmission of this infection. The WHO, CDC, and other governing bodies were doing an effort to develop the coronavirus vaccine. Now COVID-19 vaccines are available to protect people against the coronavirus. People are hesitant about whether to receive a vaccination or do not to vaccinate. This study was aimed to analyze the COVID-19 vaccination willingness level of the general public of Pakistan to manage the COVID-19 disease. A multi-criteria decision-making method known as an analytical hierarchical method was applied to determine the COVID-19 vaccination willingness level of the public. The significant determinants of COVID-19 vaccination willingness were cues to action, perceived benefits, positive attitude, government recommendation, as well as perceived stress scoring high weights to the vaccination. Determinants of willingness to uptake the COVID-19 vaccine were individual decision, vaccine origin, adapting to change, and perceived barriers high obstacles to vaccinating. The determinants relating to the COVID-19 vaccine may help to increase the uptake of the vaccination program. The government may need communication campaigns to reinforce the benefits of the vaccine.

Indexed as

COVID-19COVID-19 VaccinesDecision MakingHumansSARS-CoV-2VaccinationCOVID-19 Vaccinesanalytical hierarchy processCOVID-19 vaccineMCDMvaccination decision-makingvaccination willingness level

Identifiers

PMID34856879
PMCPMC8903990
OpenAlexW3217262353

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.