Publication date: Aug 09, 2024
Vaccination has proven to be an essential strategy in combating the COVID-19 pandemic. This study aims to discern the factors influencing both the intentions for and actual behavior regarding COVID-19 vaccination among remote, rural populations in Bangladesh. The study utilized panel survey data comprising 1,698 randomly selected household heads. These are predominantly illiterate, of Muslim religion, middle-aged, and male, with agriculture or day labor as primary income source. They reside in 36 locations distributed along the whole 250 km length of the Jamuna River in Bangladesh. Data collection occurred through face-to-face and telephone interviews conducted between September 2021 and October 2022. Descriptive statistics and Ordinary Least Squares regression models were employed to assess influence factors for COVID-19 vaccination intentions and uptake. The analyses considered the constructs of the Health Belief Model alongside sociodemographic characteristics such as gender, age, religion, education, and income source. Survey respondents showed a notably high willingness to receive the COVID-19 vaccine promptly upon its availability. However, the effectiveness of the Health Belief Model in elucidating COVID-19 vaccination uptake was limited, except for its availability component. Older individuals, those with higher levels of education, and individuals employed in government or formal sector occupations were prompt in receiving the COVID-19 vaccine as it became available. Gender, religion, and the presence of dependents in the household did not exert a significant influence on vaccination uptake. The results indicate that a strong willingness to receive the COVID-19 vaccine correlated with an increased likelihood of vaccine uptake once it was available. These findings suggest that a widespread distribution of COVID-19 vaccines to low-income and remote areas could have served as a vital strategy in mitigating the COVID-19 pandemic.
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Semantics
Type | Source | Name |
---|---|---|
disease | MESH | COVID-19 |
disease | VO | vaccination |
disease | VO | COVID-19 vaccine |
disease | VO | effectiveness |
disease | VO | vaccine |
drug | DRUGBANK | Ethionamide |
drug | DRUGBANK | Trestolone |
disease | VO | efficient |
disease | MESH | infectious diseases |
disease | MESH | death |
disease | VO | immunization |
drug | DRUGBANK | Etoperidone |
disease | IDO | country |
disease | VO | population |
disease | MESH | infections |
disease | MESH | emergency |
disease | MESH | chronic illnesses |
disease | VO | vaccinated |
disease | VO | vaccine effectiveness |
disease | VO | primary vaccination |
disease | IDO | process |
drug | DRUGBANK | Coenzyme M |
disease | MESH | influenza |
disease | MESH | hepatitis |
disease | IDO | susceptibility |
disease | IDO | quality |
disease | VO | frequency |
disease | MESH | marital status |
disease | MESH | educational attainment |
disease | VO | monthly |
drug | DRUGBANK | Methionine |
disease | VO | time |
disease | VO | dose |