The protection motivation theory for predict intention of COVID-19 vaccination in Iran: a structural equation modeling approach.
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TLDR
This study found the PMT constructs are useful in predicting COVID-19 vaccination intention, and response efficacy was the strongest predictor of CO VID-19vaccination intention.Abstract:
Many efforts are being made around the world to discover the vaccine against COVID-19. After discovering the vaccine, its acceptance by individuals is a fundamental issue for disease control. This study aimed to examine COVID-19 vaccination intention determinants based on the protection motivation theory (PMT). We conducted a cross-sectional study in the Iranian adult population and surveyed 256 study participants from the first to the 30th of June 2020 with a web-based self-administered questionnaire. We used Structural Equation Modeling (SEM) to investigate the interrelationship between COVID-19 vaccination intention and perceived susceptibility, perceived severity, perceived self-efficacy, and perceived response efficacy. SEM showed that perceived severity to COVID-19 (β = .17, p < .001), perceived self-efficacy about receiving the COVID-19 vaccine (β = .26, p < .001), and the perceived response efficacy of the COVID-19 vaccine (β = .70, p < .001) were significant predictors of vaccination intention. PMT accounted for 61.5% of the variance in intention to COVID-19 vaccination, and perceived response efficacy was the strongest predictor of COVID-19 vaccination intention. This study found the PMT constructs are useful in predicting COVID-19 vaccination intention. Programs designed to increase the vaccination rate after discovering the COVID-19 vaccine can include interventions on the severity of the COVID-19, the self-efficacy of individuals receiving the vaccine, and the effectiveness of the vaccine in preventing infection.read more
Citations
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COVID-19 vaccine hesitancy among different population groups in China: a national multicenter online survey
Yiman Huang,Xiaoyou Su,Wei Xiao,Hao Wang,Mingyu Si,Wenjun Wang,Xiaofeng Gu,Li Ma,Li Li,Shaokai Zhang,Chun-Xia Yang,Yanqin Yu,Youlin Qiao +12 more
TL;DR: Wang et al. as discussed by the authors investigated the prevalence of the COVID-19 vaccine hesitancy among different population groups, and explore common barriers and facilitators to vaccination decisions.
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Information Framing Effect on Public's Intention to Receive the COVID-19 Vaccination in China.
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TL;DR: In this article , the intention of receiving COVID-19 vaccines is investigated, identifying the key influencing factors, and determining the most important intention predictors using a theoretically principled model.
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Predicting the COVID-19 vaccine receive intention based on the theory of reasoned action in the south of Iran
Roghayeh Ezati Rad,Kobra Kahnouji,Shokrollah Mohseni,Nahid Shahabi,Fatemeh Noruziyan,Hossein Farshidi,Mahmood Hosseinpoor,Saeed Kashani,Hesamaddin Kamalzadeh Takhti,Mehdi Hassani Azad,Teamur Aghamolaei +10 more
TL;DR: In this paper , a cross-sectional study was performed over a period of two months (May 2021 to July 2021) in 4 southern provinces in Iran to predict intention to receive COVID-19 vaccine in the South of Iran.
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