Evidence map›Paper›PMID 34960194›Full record

ArticleVaccines2021

Perceptions towards COVID-19 Vaccines and Willingness to Vaccinate in Nepal.

Deepak Subedi, Saurav Pantha, Sanju Subedi, Anil Gautam, Asmita Gaire, Deepak Sapkota, Sachin Sapkota, Milan Kandel, Aabishkar Parajuli, Harishchandra Ghimire and 3 more

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-weighted citation impact, top 12% 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

10 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Management of COVID-19 and vaccination in Nepal: A qualitative study.Health expectations : an international journal of public participation in health care and health policy · 2023
    Article
  5. Article
  6. Article
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  9. Review
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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

13 authors at 6 institutions in 2 countries.

Deepak SubediPaklihawa Campus, Institute of Agriculture and Animal Science (IAAS), Tribhuvan University, Siddharthanagar 32900, Nepal.ORCID 0000-0002-0677-7094
Saurav PanthaPaklihawa Campus, Institute of Agriculture and Animal Science (IAAS), Tribhuvan University, Siddharthanagar 32900, Nepal.ORCID 0000-0002-8847-1928
Sanju SubediSchool of Public Health, Chitwan Medical College, Chitwan, Bharatpur 44200, Nepal.
Anil GautamPaklihawa Campus, Institute of Agriculture and Animal Science (IAAS), Tribhuvan University, Siddharthanagar 32900, Nepal.ORCID 0000-0002-6500-4999
Asmita GairePaklihawa Campus, Institute of Agriculture and Animal Science (IAAS), Tribhuvan University, Siddharthanagar 32900, Nepal.
Deepak SapkotaFaculty of Animal Science, Veterinary Science and Fisheries (FAVF), Agriculture and Forestry University, Bharatpur 44200, Nepal.
Sachin SapkotaSchool of Medicine, Chitwan Medical College, Chitwan, Bharatpur 44200, Nepal.ORCID 0000-0002-1394-7135
Milan KandelHimalayan College of Agricultural Sciences and Technology (HICAST), Purbanchal University, Kathmandu 44618, Nepal.ORCID 0000-0002-5515-3405
Aabishkar ParajuliDevdaha Medical College, Kathmandu University, Rupandehi 32907, Nepal.
Harishchandra GhimireSchool of Public Health, Chitwan Medical College, Chitwan, Bharatpur 44200, Nepal.
Shristi GhimireJohns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.
Janardan DevkotaJohns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.
Santosh DhakalJohns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.
Tribhuvan University · NPChitwan Medical College · NPJohns Hopkins University · USAgriculture and Forestry University · NPKathmandu University · NPPurbanchal University · NP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vaccination is the most effective preventive measure of COVID-19 available at present, but its success depends on the global accessibility of vaccines and the willingness of people to be vaccinated. As the vaccination rollouts are increasing worldwide, it is important to assess public perception and willingness towards vaccination, so that the aim of mass vaccination will be successful. This study aimed to understand public perception towards COVID-19 vaccines and their willingness to get vaccinated in Nepal. This cross-sectional online survey was conducted among 1196 residents of Nepal in August 2021; most of the participants of this online survey were young adults (18-47 years) with university-level education. A total of 64.5% (771/1196) of the participants perceived COVID-19 vaccines to be safe and risk-free, while 68.6% (820/1196) agreed that vaccination would be efficient in the fight against this pandemic. Most of the participants (841/1196, 70.3%) disagreed that people are getting COVID-19 vaccines easily in Nepal, while they agree with the prioritization of older adults and healthcare workers for vaccination. A total of 61.1% (731/1196) of the participants had received at least one dose of the vaccine. Among the unvaccinated, 93.3% (434/465) were willing to get vaccinated when their turn came. The higher confidence of younger adults in vaccines and the vaccination process is encouraging, as that can help educate others who are hesitant or are not positive towards the idea of receiving vaccines. Dissemination of correct and current information, acquisition of enough doses of vaccines, and equitable distribution of vaccines will be required to achieve successful completion of the COVID-19 vaccination campaign in Nepal.

Indexed as

COVID-19 vaccineNepalvaccine acceptancevaccine perception

Identifiers

PMID34960194
PMCPMC8703692
OpenAlexW4200174215

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.