Willingness to Take Covid-19 Vaccines in Ethiopia

An Instrumental Variable Probit Approach

Bibliographic Data

ID15513875
AuthorsAbayomi Samuel Oyekale (0000-0001-8030-8950, North-West University, corresponding author)
Year2021
Volume18
Issue17
Pages8892-8892
Publication date2021-08-24
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph18178892
PMID34501483
OpenAlexW3195955600
LanguageEN
Citations received3
References cited24

This paper analyzed the factors influencing the willingness of Ethiopia's population to take COVID-19 vaccines. The data included the COVID-19 High Frequency Phone Survey of Households in Ethiopia that were collected in 2021. This paper relied on the 10th round of the survey, which was comprised of 2178 households. The Instrumental Variable Probit regression model was used to analyze the data. The results showed that majority of the respondents (92.33%) would receiveCOVID-19 vaccines, while 6.61% and 1.06% were, respectively, unwilling and unsure. Across the regions of Ethiopia, Southern Nations, Nationalities, and Peoples' Region (SNNPR) (99.30%), Oromia (97.54%), Tigray (97.04%) and Gambela (95.42%) had the highest proportions of respondents willing to have the vaccine. Vaccine safety concern was the topmost reason for those unwilling to receive the vaccine. The results of the Instrumental Variable Probit regression showed that currently working, age, engagement with non-farm businesses and region of residence significantly influenced the population's willingness to take the vaccine ( p < 0.05). It was concluded that although the willingness be vaccinated was impressive, without everyone being receiving the COVID-19 vaccine, infection risk can still be high; this is due to the persistent mutation of the viral strains. Thus, there is a need to intensify efforts toward addressing the safety issues of COVID-19 vaccines, while efforts to enhance acceptability should focus on the youth population and those who are unemployed

Coronavirus disease 2019 (COVID-19 · Disease · Economics · Environmental health · Geography · Instrumental variable · Population · Probit · Probit model · Residence · Socioeconomics · Sociology · COVID-19 epidemiological studies · Demography · Medicine · SARS-CoV-2 and COVID-19 Research · Vaccine Coverage and Hesitancy

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