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

The 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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Publication Details

Journal
BMJ Open
Published
2024-11-01
DOI
https://doi.org/10.1136/bmjopen-2024-089764
Citations
3
Primary Topic
Virology and Viral Diseases
Type
article
Field-Weighted Citation Impact
1.16
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article

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

Meron Asmamaw Alemayehu
3 citations
BMJ Open
Virology and Viral Diseases
1.16
article

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

Meron Asmamaw Alemayehu
article en
3 citations

Abstract

The 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.

BMJ OpenVol. 14(11)
University of Gondar (ET)
Partnerships for the goals
Openalex Percentile: Top 19%
Virology and Viral Diseases
1.16
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