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ORIGINAL RESEARCH article

Front. Public Health

Sec. Children and Health

Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1483588

Spatial distribution and determinants of Vitamin A Supplementation Nonreceipt among children aged 6–35 months in Ethiopia: A Multiscale Geographically Weighted Regression Analysis

Provisionally accepted
  • 1Department of Biomedical Science, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia
  • 2Department of Psychiatry, College of Medicine and Health Science, Wollo University, Dessie, Ethiopia., Dessie, Ethiopia
  • 3Department of Medical Laboratory Sciences, College of Medicine and Health Sciences, Wollo University, Dessie, Amhara, Ethiopia
  • 4Department of Health Informatics, School of Public Health, College of Medicine and Health Science, Wollo University, Dessie, Ethiopia

The final, formatted version of the article will be published soon.

Background: Vitamin A supplementation is a critical public health strategy to reduce childhood morbidity and mortality. Despite its importance, coverage in Ethiopia remains low, with marked regional disparities. This study aimed to examine the spatial distribution and determinants of not receiving Vitamin A supplements among children aged 6–35 months. Methods: Data from the 2019 Ethiopia Mini Demographic and Health Survey, collected between March and June 2019, were analyzed. A weighted sample of 2,540 children aged 6–35 months was included. Data management and analysis employed STATA 17, ArcGIS 10.7.1, SaTScan v10.1, and MGWR 2.2 software. Spatial autocorrelation analysis assessed whether non-supplementation cases were randomly distributed. Hotspot analysis identified areas of high and low prevalence, while ordinary kriging was used for interpolation. SaTScan’s Bernoulli-based model identified likely clusters of non-receipt. Geographically Weighted Regression (GWR) and Multiscale GWR models were applied to determine spatially varying factors associated with not receiving supplementation. Results: Spatial analysis revealed significant variation in Vitamin A supplementation coverage across Ethiopia. High-prevalence clusters were detected in Sidama, the Southern Nations, Nationalities, and Peoples’ Region, and parts of Oromia. Scan statistics identified 44 primary clusters in Sidama, Southwest Ethiopia, and Oromia (Relative Risk = 1.5, p < 0.001). Spatial regression indicated that non-receipt was associated with maternal lack of education, female-headed households, poorer socioeconomic status, being the first child, female sex, and age 6–23 months. Conclusion: There is considerable geographical variation in Vitamin A supplementation coverage among Ethiopian children aged 6–35 months. Sociodemographic factors, including maternal education, household wealth, child age, birth order, and sex, contribute to this disparity. Region-specific public health strategies are recommended to enhance Vitamin A supplementation coverage and reduce childhood morbidity and mortality in Ethiopia.

Keywords: vitamin A supplementation, Geographical weighted regression, spatial analysis, Ethiopia, Vitamin A (carotenoids), Micronutrient supplementation, Child Health, Spatial analisis

Received: 29 Aug 2024; Accepted: 16 Oct 2025.

Copyright: © 2025 Kassssaw, Tareke, Mankelkl, Anbesaw, Gedefie, Debash, Tamirat and Abebe. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Altaseb Beyene Kassssaw, altasebbeyene7@gmail.com

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