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This paper is in the following e-collection/theme issue:

Pediatrics (279) Public (e)Health, Digital Epidemiology and Public Health Informatics (2339) Health Services in Resource-Poor Settings and LMICs (695) Machine Learning (3287) Vaccination and Immunization in the Digital Age (510) Parent and Caregiver Education and Behavior Change for Vaccination (105)

Published on in Vol 9 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76712, first published .
Young child smiles next to vaccine vial and syringe with Romania map overlay

Modeling Zero-Dose Children in Ethiopia: A Machine Learning Perspective on Model Performance and Predictor Variables

Modeling Zero-Dose Children in Ethiopia: A Machine Learning Perspective on Model Performance and Predictor Variables

Authors of this article:

Berhanu Fikadie Endehabtu1, 2 Author Orcid Image ;   Kassahun Alemu2, 3 Author Orcid Image ;   Shegaw Anagaw Mengiste4 Author Orcid Image ;   Meseret Zelalem5 Author Orcid Image ;   Monika Knudsen Gullslett6 Author Orcid Image ;   Binyam Tilahun1, 2 Author Orcid Image
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Journals

  1. Endehabtu B, Addisu Taye E. Predicting zero-dose vaccination status in 27 sub-Saharan African countries: a machine learning approach. BMJ Health & Care Informatics 2026;33(1):e102188 View