ArticleVaccines2022
Vaccination Intention against COVID-19 among the Unvaccinated in Jordan during the Early Phase of the Vaccination Drive: A Cross-Sectional Survey.
Article in Vaccines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.
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Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Intention to receive COVID-19 vaccine and its health belief model (HBM)-based predictors: A systematic review and meta-analysis.Human vaccines & immunotherapeutics · 2023Pooled it
- Predictors of COVID-19 vaccination hesitancy in China: a meta-analysis.Public health · 2023Pooled it
- Uptake of COVID-19 vaccine among female healthcare workers in Syria: results from a 2022 cross-sectional survey.Conflict and health · 2025Article
- Article
- Sequencing and analysis of 131 SARS-CoV-2 isolates in previously sampled and unsampled regions of Jordan from 2020 to 2023.PloS one · 2025Article
- A global survey to understand general vaccine trust, COVID-19 and influenza vaccine confidence.Frontiers in public health · 2024Article
- Using the Health Belief Model to Predict Pre-Travel Health Decisions among U.S.-Based Travelers.The American journal of tropical medicine and hygiene · 2023Article
- Prevalence and risk factors of COVID-19 infection, mortality, and post-infection lung fibrosis in patients with type 2 diabetes: a cross-sectional study.The Journal of international medical research · 2023Article
- Determinants of influenza and COVID-19 vaccine intent or uptake in Lebanon: a scoping review of the literature.BMC infectious diseases · 2023Article
- Hesitancy toward vaccination against COVID-19: A scoping review of prevalence and associated factors in the Arab world.Human vaccines & immunotherapeutics · 2023Article
- COVID-19 Vaccination Personas in Yemen: Insights from Three Rounds of a Cross-Sectional Survey.Vaccines · 2023Article
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- Review
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Authors and funding
9 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Objective: This study assessed the intention and predictors of accepting the corona virus disease 2019 (COVID-19) vaccine in Jordan. Method: A national-level online survey was conducted among adults (≥18 years) in Jordan between June and September 2021. Descriptive analyses were performed to report vaccination intent. In addition, bivariate and multivariate logistic regression analyses were done to evaluate the association between vaccination intent and its predictors. Results: A total of 2307 adults participated. Most of them (83.7%) expressed an intention to receive a COVID-19 vaccine. Their vaccination intention was significantly (p < 0.001) associated with male gender (aOR: 2.6), residence in the Amman region (aOR: 51.8), and no history of COVID-19 infection (aOR: 6.0). In contrast, individuals aged 50-64 years (aOR: 0.2, p < 0.001), Jordanians (aOR: 0.7, p = 0.038), and those with an occupation designated as “other” (unemployed, general workers, housewives) (aOR: 0.2, p < 0.001) were less likely to have a positive vaccination intent. Among the health belief model constructs, perceived future (aOR: 2.8) and present (aOR: 5.0) susceptibility to COVID-19 infection; severity of complications (aOR: 9.9); and benefits (aOR: 100.8) were significantly (p < 0.001) associated with a higher likelihood of having a vaccination intent. On the other hand, individuals who are concerned about the efficacy (aOR: 0.2) and side effects (aOR: 0.2) of the vaccine were less likely to have a positive vaccination intent (p < 0.001). Conclusion: Despite having high rates of intention to receive a COVID-19 vaccine, Jordanians, older adults and housewives, general workers and unemployed individuals were less likely to be vaccinated. These findings highlight that need-based public health campaigns are necessary to ensure maximum COVID-19 vaccination uptake in Jordan.
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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.