ArticlePloS one2022
Assessment of acceptability of the COVID-19 vaccine based on the health belief model among Malaysians-A qualitative approach.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Factors influencing influenza vaccine hesitancy among cancer patients: a multicenter cross-sectional study based on the Health Belief Model.BMC infectious diseases · 2026Article
- Article
- Health belief model based predictors and perceptions of COVID-19 vaccination amongst frontline health workers.Bioinformation · 2025Article
- Influencing factors and mechanisms promoting proactive health behavior intention: an integration of the health belief model and the theory of planned behavior.Frontiers in public health · 2025Article
- Article
- Behavioral, cognitive and emotional determinants of getting vaccinated for COVID-19 and the mediating role of institutional trust among young adults in Cyprus.BMC public health · 2024Article
- Impact of Relational Coordination on Job Satisfaction and Willingness to Stay: A Cross-Sectional Survey of Healthcare Professionals in South Tyrol, Italy.Behavioral sciences (Basel, Switzerland) · 2024Article
- Acceptance and expectations of healthcare workers and community during the COVID-19 vaccine rollout in Bhavnagar city, western India: a qualitative exploration.BMC health services research · 2024Article
- Article
- Prevalence and factors of COVID-19 vaccine refusal among solid cancer patients in China: an application of the health belief model.Frontiers in public health · 2023Article
- Article
- Exposure to Misinformation, Risk Perception, and Confidence towards the Government as Factors Influencing Negative Attitudes towards COVID-19 Vaccination in Malaysia.International journal of environmental research and public health · 2022Article
- COVID-19 Vaccine Acceptors, Refusers, and the Moveable Middle: A Qualitative Study from Central Texas.Vaccines · 2022Article
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Authors and funding
6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
introductionSeveral countries have started mass vaccination programs to halt the spread of the COVID-19 pandemic. With an R naught value of 2 to 3, about 70% of the population needs to be immunized to achieve herd immunity. This study aimed to investigate the reasons for acceptance or refusal of COVID-19 vaccines among the Malaysian population. METHODOLOGY: An exploratory, descriptive qualitative design was performed. The cross-sectional survey used a non-probability convenient sampling technique to recruit the respondents, who were required to answer an open-ended question: Either "If you are willing to get the vaccine, please state your reason" or "If you are not willing to get vaccinated, please state your reason." The survey also included questions on demography such as age, gender, and place of residence. According to the Health Belief Model, the data was transcribed, translated, and analyzed: perceived susceptibility, perceived severity, perceived barrier, and cues for action.
resultsA total of 1091 respondents who completed the online survey comprised 685 (62.8%) females, 406 (37.2%) males, with a mean age of 38.16 (SD = 16.44). The majority (81.1%) were willing to get vaccinated. Thematic analysis showed that most respondents perceived that the vaccine is safe, effective, protective and will provide herd immunity. Barriers to vaccination include unknown long-term side effects, rapid vaccine production, inadequate information and concerns regarding halal status. Cues to vaccination included individual desire, social responsibility, economic concerns and wait-and-see behavior.
conclusionsThe public should be well informed about the vaccine, its efficacy, side effects, and halal status to increase vaccine acceptability and achieve herd immunity.
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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.