TY - JOUR
T1 - COVID-19 vaccine acceptance among Bangladeshi adults
T2 - Understanding predictors of vaccine intention to inform vaccine policy
AU - Lee, Clarice
AU - Holroyd, Taylor A.
AU - Gur-Arie, Rachel
AU - Sauer, Molly
AU - Zavala, Eleonor
AU - Paul, Alicia M.
AU - Shattuck, Dominick
AU - Karron, Ruth A.
AU - Limaye, Rupali J.
N1 - Publisher Copyright:
© 2022 Lee et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2022/1
Y1 - 2022/1
N2 - Objectives The purpose of this study was to identify predictors of COVID-19 vaccine intention among Bangladeshi adults. Methods 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. Results 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). Discussion 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.
AB - Objectives The purpose of this study was to identify predictors of COVID-19 vaccine intention among Bangladeshi adults. Methods 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. Results 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). Discussion 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.
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U2 - 10.1371/journal.pone.0261929
DO - 10.1371/journal.pone.0261929
M3 - Article
C2 - 35025903
AN - SCOPUS:85122873108
SN - 1932-6203
VL - 17
JO - PloS one
JF - PloS one
IS - 1 January 2022
M1 - e0261929
ER -