Bayesian Analysis of Predictors of Incomplete Vaccination against Polio among Children Aged 12–23 Months in Ethiopia

Teshita Uke Chikako, Abdul-Aziz Seidu, John Elvis Hagan, Richard Gyan Aboagye and Bright Opoku Ahinkorah
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Teshita Uke Chikako: Wondo Genet College of Forestry and Natural Resource, Hawassa University, Hawassa P.O. Box 05, Ethiopia
Abdul-Aziz Seidu: College of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville, QLD 4811, Australia
John Elvis Hagan: Department of Health, Physical Education and Recreation, University of Cape Coast, Cape Coast TF0494, Ghana
Richard Gyan Aboagye: Department of Family and Community Health, School of Public Health, University of Health and Allied Sciences, Ho PMB 31, Ghana
Bright Opoku Ahinkorah: School of Public Health, Faculty of Health, University of Technology Sydney, Sydney, NSW 2007, Australia

IJERPH, 2021, vol. 18, issue 22, 1-12

Abstract: Background: The re-introduction of polio among children aged 12–23 months is likely to occur in Ethiopia due to the low vaccination rates against poliovirus. The study sought to examine the predictors of incomplete vaccination against polio among children aged 12–23 months in Ethiopia. Methods: The data used were obtained from the 2016 Ethiopia Demographic and Health Survey. Binary and Bayesian logistic regressions were used for the data analysis, with parameters estimated using classical maximum likelihood and the Bayesian estimation method. Results: The results revealed that 43.7% of the children were not fully vaccinated against polio in Ethiopia. Maternal age, educational level, household wealth index, exposure to mass media, place of residence, presence of nearby healthy facility, counseling on vaccination, and place of delivery were significant determinants of incomplete polio vaccination among children aged between 12 and 23 months in Ethiopia. Conclusion: Considerable numbers of children are not fully vaccinated against polio in Ethiopia. Individual and contextual factors significantly contributed to incomplete polio vaccination among children in the country. Therefore, the government and other stakeholders should pay particular attention to maternal education to increase mothers’ educational level in all regions and give training and counseling in all urban and rural parts of the country on child vaccination to overcome the problem of children’s incomplete polio vaccination and/or vaccination dropout.

Keywords: Bayesian logistic regression analysis; childhood vaccination; Ethiopia; polio; predictors (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
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