Attitudes toward the SARS-CoV-2 Vaccine: Results from the Saudi Residents' Intention to Get Vaccinated against COVID-19 (SRIGVAC) Study.
Sami Hamdan AlzahraniMukhtiar BaigMohammed W AlrabiaMohammed Ridha AlgethamiMeshari M AlhamdanNabil Abdulhafiz AlhakamyHani Z AsfourTauseef AhmadPublished in: Vaccines (2021)
Vaccine uptake could influence vaccination efforts to control the widespread COVID-19 pandemic; however, little is known about vaccine acceptance in Saudi Arabia. The present study aimed to assess the Saudi public's intent to get vaccinated against COVID-19 and explore the associated demographic determinants of their intentions as well as the reasons for vaccine hesitancy. A cross-sectional, web-based survey was distributed to public individuals in Saudi Arabia between 25 December 2020 and 15 February 2021. Participants were asked if they were willing to get vaccinated, and the responses, along with demographic data were entered into a multinomial logistic regression model to assess the relative risk ratio (RRR) for responding "no" or "unsure" versus "yes". Among 3048 participants (60.1% female, 89.5% Saudi), 52.9% intend to get vaccinated, 26.8% were unsure, and 20.3% refused vaccination. Vaccine hesitancy was significantly higher among females (RRR = 2.70, p < 0.0001) and those who had not been recently vaccinated for influenza (RRR = 2.63, p < 0.0001). The likelihood was lower among Saudis (RRR = 0.49, p < 0.0001), those with less than a secondary education (RRR = 0.16, p < 0.0001), perceived risks of COVID-19, and residents of the southern region (RRR = 0.46, p < 0.0001). The most often cited reasons for hesitancy were short clinical testing periods and concerns about adverse events or effectiveness. Vaccine hesitancy is mediated by many demographic factors and personal beliefs. To address vaccine-related concerns and amend deeply rooted health beliefs, communication should provide transparent information.
Keyphrases
- sars cov
- coronavirus disease
- healthcare
- mental health
- systematic review
- emergency department
- randomized controlled trial
- health information
- depressive symptoms
- respiratory syndrome coronavirus
- saudi arabia
- cross sectional
- risk assessment
- machine learning
- physical activity
- quality improvement
- social media
- social support
- human health
- climate change
- artificial intelligence