Vaccination Coverage and Associated Factors among Children in Debre Berhan Town, Ethiopia

Tadesse, Desalew; Shiferaw, Melashu Balew; Tesfahun, Esubalew; Moges, Amtatachew; Semunigus, Tsedale

doi:10.18639/rabm.2019.961845

Cited by 3 publications

(5 citation statements)

References 8 publications

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Section: Discussionsupporting

confidence: 92%

“…The level of parental education positively associated with child vaccination, children born from educated parents were more likely to vaccinate as compared with children born from none-educated counterparts. This supports previous findings where a higher level of maternal and father education is associated with a higher odd of child vaccination [ 12 , 14 , 15 , 35 – 38 ]. The potential reason for this might be the fact that the educated parents may have knowledge of vaccination and child protection and may benefit from full vaccination for their children.…”

Section: Discussionsupporting

confidence: 92%

“…A higher percentage of vaccination coverage was found among children belonging to a higher wealth index as compared to their counterparts. This confirms previous findings where the odd of childhood vaccination increase with an increase in family income [12,14,15,27,37,44]. This could be because children with the lowest family income status have been disadvantage and health services have been difficult to access.…”

Section: Discussionsupporting

confidence: 90%

“…As opposed to those who do not attend health facilities, women who visit health facilities have access to or are exposed to sexual and reproductive health services [ 40 ]. Similarly, Increase the number of antenatal visits during pregnancy raises the odds of being fully immunized, a finding that is also confirmed by previous researches [ 12 , 14 , 15 , 35 , 39 – 43 ]. A woman provides not only professional care but also advice and education to use postnatal care and vaccination services during institutional delivery.…”

Section: Discussionsupporting

confidence: 82%

“…Various studies have been conducted to identify the determinants of childhood vaccination in different developing countries including Ethiopia [11][12][13][14][15][16][17]. These studies investigated the determinants of vaccination coverage through binary logistic regression analysis.…”

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confidence: 99%

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Individual and community-level determinants of childhood vaccination in Ethiopia

Fenta

2021

Arch Public Health

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Background Vaccines are one of our most important tools for preventing outbreaks and keeping the world safe. Most unvaccinated children live in the poorest countries including Ethiopia. Therefore, this study aimed to identify the determinants of vaccination coverage among children aged12–23 months in Ethiopia. Methods A cross-sectional secondary data were obtained from the 2016 Ethiopian Demographic and Health Survey data (EDHS). A total of 1929 children were included. A Multilevel Proportional Odds Model was used to identify the individual and community-level factors associated with child vaccination. Result Among 1, 929 children, only 48.6% (95% CI: 46.3 to 50.8%) were fully vaccinated while 37.8% (95% CI: 35.7 to 40.1%) were partially vaccinated.. The multilevel ordinal logistic regression model reveled that housewife mother (AOR =1.522, 95%CI: 1.139, 2.034), institutional delivery (AOR =2.345, 95%CI: 1.766, 3.114),four or above antenatal care visits (AOR = 2.657; 95% CI: 1.906, 3.704), children of mothers with secondary or higher education (AOR = 2.008; 95% CI: 1.209, 3.334),Children whose fathers primary education (AOR = 1.596; 95% CI: 1.215, 2.096), from the rich households (AOR = 1.679; 95% CI: 1.233, 2.287) were significantly associated with childhood vaccination. Conclusion Child vaccination coverage in Ethiopia remains low. Therefore, there is a need to increase child vaccination coverage by promoting institutional delivery and prenatal care visits, as well as maternal tetanus immunization. Besides, public initiatives needed to improve child vaccination coverage, women’s and husband’s education, poor women, and further advancement of health care services for poor women, housewife women, women living in remote areas should be made to maintain further improvements in child vaccination. Furthermore, policies and programs aimed at addressing cluster variations in child vaccination need to be formulated and their implementation must be strongly pursued.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionsupporting

confidence: 92%

Section: Discussionsupporting

confidence: 90%

Section: Discussionsupporting

confidence: 82%

mentioning

confidence: 99%

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Individual and community-level determinants of childhood vaccination in Ethiopia

Fenta

2021

Arch Public Health

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Full immunization coverage and associated factors among children age 12-23 months in Ethiopia: systematic review and meta-analysis of observational studies

Biset

Tadesse

Mihret

et al. 2021

Human Vaccines & Immunotherapeutics

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Machine learning algorithms for prediction of measles one vaccination dropout among 12–23 months children in Ethiopia

Alemayehu

2024

BMJ Open

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IntroductionDespite the availability of a safe and effective measles vaccine in Ethiopia, the country has experienced recurrent and significant measles outbreaks, with a nearly fivefold increase in confirmed cases from 2021 to 2023. The WHO has identified being unvaccinated against measles as a major factor driving this resurgence of cases and deaths. Consequently, this study aimed to apply robust machine learning algorithms to predict the key factors contributing to measles vaccination dropout.MethodsThis study utilised data from the 2016 Ethiopian Demographic and Health Survey to evaluate measles vaccination dropout. Eight supervised machine learning algorithms were implemented: eXtreme Gradient Boosting (XGBoost), Random Forest, Gradient Boosting, Support Vector Machine, Decision Tree, Naïve Bayes, K-Nearest Neighbours and Logistic Regression. Data preprocessing and model development were performed using R language V.4.2.1. The predictive models were evaluated using accuracy, precision, recall, F1-score and area under the curve (AUC). Unlike previous studies, this research utilised Shapley values to interpret individual predictions made by the top-performing machine learning model.ResultsThe XGBoost algorithm surpassed all classifiers in predicting measles vaccination dropout (Accuracy and AUC values of 73.9% and 0.813, respectively). The Shapley Beeswarm plot displayed how each feature influenced the best model’s predictions. The model predicted that the younger mother’s age, religion-Jehovah/Adventist, husband with no and mother with primary education, unemployment of the mother, residence in the Oromia and Somali regions, large family size and older paternal age have a strong positive impact on the measles vaccination dropout.ConclusionThe measles dropout rate in the country exceeded the recommended threshold of <10%. To tackle this issue, targeted interventions are crucial. Public awareness campaigns, regular health education and partnerships with religious institutions and health extension workers should be implemented, particularly in the identified underprivileged regions. These measures can help reduce measles vaccination dropout rates and enhance overall coverage.

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Vaccination Coverage and Associated Factors among Children in Debre Berhan Town, Ethiopia

Cited by 3 publications

References 8 publications

Individual and community-level determinants of childhood vaccination in Ethiopia

Individual and community-level determinants of childhood vaccination in Ethiopia

Full immunization coverage and associated factors among children age 12-23 months in Ethiopia: systematic review and meta-analysis of observational studies

Machine learning algorithms for prediction of measles one vaccination dropout among 12–23 months children in Ethiopia

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