Evidence map›Paper›PMID 36535824›Full record

ArticleVaccine2023

What attributes influence rural household's willingness to get vaccinated for COVID-19? Perspectives from six Chinese townships.

Yingying Sun, Shih-Kai Huang, Sudha Arlikatti, Michael K Lindell

Abstract read
In one paragraph

Article in Vaccine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. 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

4 authors.

Yingying SunSchool of Public Administration and Policy, Renmin University of China, 59 Zhongguancun Street, Beijing 100872, PR China. Electronic address: ying.sun@ruc.edu.cn.
Shih-Kai HuangJacksonville State University, Jacksonville, AL, USA. Electronic address: shuang@jsu.edu.
Sudha ArlikattiAmrita School for Sustainable Development, Amrita Vishwa Vidyapeetham, Amritapuri, India. Electronic address: sudhaarlikatti@am.amrita.edu.
Michael K LindellUniversity of Washington, Seattle, WA, USA. Electronic address: mlindell@uw.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the onset of the COVID-19 pandemic, vaccinations have been identified as the most effective mitigation strategy against the deadly virus. This has led developed nations to accelerate research and shorten the licensure process for COVID-19 vaccines, but these changes have caused widespread concerns about vaccine safety. Research literature has long indicated that citizens' perceptions of protective actions will determine their behaviors, and thus, the relationship between vaccine perception and vaccination intention needs to be assessed. To better understand vaccination willingness, especially in rural populations, this study surveyed 492 households from six townships in the Ya'an region of China's Sichuan Province in November 2020. The survey followed the Protective Action Decision Model (PADM) framework for collecting perceptions about the influenza and COVID-19 vaccines as protective actions, information sources, emergency preparedness, emotional response, and demographic characteristics. The results showed that influenza vaccine perceptions significantly affected people's COVID-19 vaccination perceptions and intentions. Unlike previous vaccination willingness and other COVID-19 studies, this study found that perceptions of resource-related attributes and health-related attributes both affected COVID-19 vaccination intentions, but the former were slightly stronger than the latter. Moreover, these effects were strongest among respondents who had the most positive perceptions of their influenza vaccine experience. This study's findings will benefit local authorities in designing appropriate policies and measures (e.g., hazard education, risk communication, vaccination convenience enhancement) for increasing vaccination compliance for the current and future pandemics.

Indexed as

COVID-19Influenza VaccinesChinaCOVID-19 VaccinesEast Asian PeopleHumansIntentionPandemicsRural PopulationVaccinationCOVID-19 VaccinesInfluenza VaccinesCOVID-19Information sourcesProtective action perceptionsrural householdsSichuan townships, ChinaVaccination willingness

Identifiers

PMID36535824
PMCPMC9705199

What OpenQuestion holds

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Registered trials

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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.