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Predictors of receiving COVID-19 vaccine among adult population in Iran: an observational study.
Soleimanpour, Hassan; Sarbazi, Ehsan; Esmaeili, Elham Davtalab; Mehri, Ahmad; Fam, Saber Ghaffari; Nikbakht, Hossein-Ali; Saadati, Mohammad; Sedighi, Saman; Vali, Mohebat; Azizi, Hosein.
Afiliação
  • Soleimanpour H; Emergency Medicine Research Team, Tabriz University of Medical Sciences, Tabriz, Iran.
  • Sarbazi E; Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran. ehsansarbazi20@gmail.com.
  • Esmaeili ED; Road Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, Iran. ehsansarbazi20@gmail.com.
  • Mehri A; Road Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
  • Fam SG; Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Nikbakht HA; Department of Epidemiology, Hamadan University of Medical Sciences, Hamadan, Iran.
  • Saadati M; Social Determinants of Health Research Center, Health Research Institute, Department of Biostatistics & Epidemiology, School of Public Health, Babol University of Medical Sciences, Babol, Iran.
  • Sedighi S; Department of Public Health, Khoy University of Medical Sciences, Khoy, Iran.
  • Vali M; Department of Neurosurgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Azizi H; Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.
BMC Public Health ; 23(1): 490, 2023 03 14.
Article em En | MEDLINE | ID: mdl-36918858
ABSTRACT

BACKGROUND:

Vaccination is one of the best ways to stop the transmission of coronavirus disease 2019 (COVID-19). In this regard, uunderstanding the features related to the intention of different populations to receive the COVID-19 vaccine is essential for an effective vaccination program. This study aimed to investigate the vaccination intention predictors in the general adult population of Iran.

METHODS:

A cross-sectional, web-based survey was conducted on social networks, including Telegram, WhatsApp, LinkedIn, Instagram, and Facebook. Multinomial logistic regression models were used to investigate predictors associated with the intention to receive COVID-19 vaccines, including sociodemographic characteristics, trust, worry, sources of information, and conspiracy beliefs. The main outcomes included unwillingness, undecidedness, and intention to receive the COVID-19 vaccine.

RESULTS:

Out of 780 respondents, 481 (61.6%) reported an intention to be vaccinated, 214 (27.4%) expressed their undecided status, and 85 (10.9%) reported unwillingness to receive any type of COVID-19 vaccine. A higher age (OR undecided = 0.97, 95% CI (0.96-0.99)), (OR unwilling = 0.97, 95% CI (0.95-0.99)); exposure with COVID-19 (OR unwilling = 0.82, 95% CI (0.76-0.89)), (OR undecided = 0.87, 95% CI (0.83-0.93)) were positively associated with vaccination intentions. No/low trust in vaccines, institutions, concerns about the future of the pandemic, and conspiracy beliefs were strongly and negatively associated with COVID-19 vaccination intentions.

CONCLUSION:

Most Iranians intended to get a COVID-19 vaccine. Higher vaccine acceptance needs to consider demographic features, exposure history, confidence in vaccines, trust in institutions, concerns, and conspiracy beliefs of people.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Vacinas contra COVID-19 / COVID-19 Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Vacinas contra COVID-19 / COVID-19 Idioma: En Ano de publicação: 2023 Tipo de documento: Article