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The effects of misinformation on COVID-19 vaccine hesitancy in Bangladesh

The effects of misinformation on COVID-19 vaccine hesitancy in Bangladesh The main purpose of this study is to assess the prevalence of COVID-19 vaccine hesitancy among the general population in Bangladesh and the role of misinformation in this process.Design/methodology/approachAn online survey was conducted to assess COVID-19 vaccine hesitancy among ordinary citizens. In addition to demographic and vaccine-related information, a five-point Likert scale was used to measure vaccine-related misinformation beliefs and how to counter them. Chi-square tests were used to examine the relationship between demographic variables and vaccine acceptance. A binary logistic regression analysis was conducted to identify vaccine hesitancy by different demographic groups. Nonparametric Mann–Whitney and Kruskal–Wallis tests were performed to determine the significance of difference between demographic groups in terms of their vaccine-related misinformation beliefs. Finally, the total misinformation score was computed to examine the correlation between vaccine hesitancy and the total score.FindingsThis study found that nearly half of the respondents were willing to receive COVID-19 vaccine, whereas more than one third of the participants were unsure about taking the vaccine. Demographic variables (e.g., gender, age and education) were found to be significantly related to COVID-19 vaccine acceptance. The results of binary logistic regression analysis showed that respondents who were below 40 years of age, females and those who had lower education attainments had significantly higher odds of vaccine hesitancy. There were significant differences in participants’ vaccine-related misinformation beliefs based on their demographic characteristics, particularly in the case of educational accomplishments. A highly significant negative correlation was found between total misinformation score and vaccine acceptance.Research limitations/implicationsThe survey was conducted online, and therefore, it automatically precluded non-internet users from completing the survey. Further, the number of participants from villages was relatively low. Overall, the results may not be representative of the entire population in Bangladesh.Practical implicationsThe findings of this paper could guide government agencies and policymakers in devising appropriate strategies to counter COVID-related misinformation to reduce the level of vaccine hesitancy in Bangladesh.Originality/valueTo the authors’ best knowledge, this study is the first to measure the level of COVID-19 vaccine hesitancy and the influence of misinformation in this process among the general public in Bangladesh. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png "Global Knowledge, Memory and Communication" Emerald Publishing

The effects of misinformation on COVID-19 vaccine hesitancy in Bangladesh

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Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
2514-9342
eISSN
2514-9342
DOI
10.1108/gkmc-05-2021-0080
Publisher site
See Article on Publisher Site

Abstract

The main purpose of this study is to assess the prevalence of COVID-19 vaccine hesitancy among the general population in Bangladesh and the role of misinformation in this process.Design/methodology/approachAn online survey was conducted to assess COVID-19 vaccine hesitancy among ordinary citizens. In addition to demographic and vaccine-related information, a five-point Likert scale was used to measure vaccine-related misinformation beliefs and how to counter them. Chi-square tests were used to examine the relationship between demographic variables and vaccine acceptance. A binary logistic regression analysis was conducted to identify vaccine hesitancy by different demographic groups. Nonparametric Mann–Whitney and Kruskal–Wallis tests were performed to determine the significance of difference between demographic groups in terms of their vaccine-related misinformation beliefs. Finally, the total misinformation score was computed to examine the correlation between vaccine hesitancy and the total score.FindingsThis study found that nearly half of the respondents were willing to receive COVID-19 vaccine, whereas more than one third of the participants were unsure about taking the vaccine. Demographic variables (e.g., gender, age and education) were found to be significantly related to COVID-19 vaccine acceptance. The results of binary logistic regression analysis showed that respondents who were below 40 years of age, females and those who had lower education attainments had significantly higher odds of vaccine hesitancy. There were significant differences in participants’ vaccine-related misinformation beliefs based on their demographic characteristics, particularly in the case of educational accomplishments. A highly significant negative correlation was found between total misinformation score and vaccine acceptance.Research limitations/implicationsThe survey was conducted online, and therefore, it automatically precluded non-internet users from completing the survey. Further, the number of participants from villages was relatively low. Overall, the results may not be representative of the entire population in Bangladesh.Practical implicationsThe findings of this paper could guide government agencies and policymakers in devising appropriate strategies to counter COVID-related misinformation to reduce the level of vaccine hesitancy in Bangladesh.Originality/valueTo the authors’ best knowledge, this study is the first to measure the level of COVID-19 vaccine hesitancy and the influence of misinformation in this process among the general public in Bangladesh.

Journal

"Global Knowledge, Memory and Communication"Emerald Publishing

Published: Jan 10, 2023

Keywords: Bangladesh; Misinformation; Vaccine; COVID-19; Counter-misinformation strategies; Vaccine hesitancy

References