COVID-19 vaccine acceptance among Bangladeshi adults: Understanding predictors of vaccine intention to inform vaccine policy

• Published in: PloS one Vol. 17; no. 1; p. e0261929
• Main Authors: Lee, Clarice, Holroyd, Taylor A, Gur-Arie, Rachel, Sauer, Molly, Zavala, Eleonor, Paul, Alicia M, Shattuck, Dominick, Karron, Ruth A, Limaye, Rupali J
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 13.01.2022; Public Library of Science (PLoS)
• Subjects: Adult; Adults; Aged; Aged, 80 and over; Bangladesh; Behavior; Biology and Life Sciences; Computer and Information Sciences; Coronaviruses; COVID-19 - immunology; COVID-19 vaccines; COVID-19 Vaccines - immunology; Demographic variables; Disease control; Epidemiology; Female; Health risks; Humans; Immunization; Intention; International; Laws, regulations and rules; Male; Medicine and Health Sciences; Middle Aged; Muslims; Norms; People and Places; Perception; Policy; Population; Public health; Research and Analysis Methods; Risk perception; Risk taking; Social networks; Social Sciences; Vaccination; Vaccination - legislation & jurisprudence; Vaccines; Young Adult; Bangladesh; United States > US; Maryland; Baltimore Maryland; India
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0261929

The purpose of this study was to identify predictors of COVID-19 vaccine intention among Bangladeshi adults. Secondary data from the COVID-19 Beliefs, Behaviors & Norms Survey conducted by the Massachusetts Institute of Technology (MIT) and Facebook were analyzed. Data were collected from 2,669 adult Facebook users in Bangladesh and was collected between February 15 and February 28, 2021. Binomial logistic regression examined the relationship between COVID-19 vaccination intent and demographic variables, risk perception, preventive behaviors, COVID-19 knowledge, and likelihood of future actions. Seventy-nine percent of respondents reported intent to get the COVID-19 vaccine when it becomes available. Intent to get vaccinated was highest among females, adults aged 71-80, individuals with college or graduate-level degrees, city dwellers, and individuals who perceived that they were in excellent health. Results of the binomial logistic regression indicated that predictors of vaccination intent include age (OR = 1.39), high risk perception of COVID-19 (OR = 1.47), and intent to practice social distancing (OR = 1.22). Findings suggest that age, perceived COVID-19 risk, and non-pharmaceutical COVID-19 interventions may predict COVID-19 vaccination intent among Bangladeshi adults. Findings can be used to create targeted messaging to increase demand for and uptake of COVID-19 vaccines in Bangladesh.