A stacked ensemble machine learning model for the prediction of pentavalent 3 vaccination dropout in East Africa
This study provides insights into the factors influencing Penta 3 vaccination dropout in East Africa. To reduce dropout rates, interventions should focus on enhancing maternal livelihood opportunities, improving healthcare access in rural areas, and promoting institutional deliveries.
Authors
- Jibril Bashir Adem (ORCID: https://orcid.org/0000-0003-1026-0626)
- Meron Asmamaw Alemayehu (ORCID: https://orcid.org/0000-0002-1852-0771)
- Agmasie Damtew Walle (ORCID: https://orcid.org/0000-0001-9583-5876)
- Daniel Niguse Mamo (ORCID: https://orcid.org/0009-0009-3390-101X)
- Shimels Derso Kebede (ORCID: https://orcid.org/0000-0001-5416-616X)
- Ermias Bekele Enyew (ORCID: https://orcid.org/0000-0002-9310-2481)
Institutions
- Debre Berhan University (ET)
- Wollo University (ET)
- Arba Minch University (ET)
- Arsi University
- University of Gondar (ET)
Publication Details
- Journal
- Frontiers in Big Data
- Published
- 2025-04-07
- DOI
- https://doi.org/10.3389/fdata.2025.1522578
- Citations
- 3
- Primary Topic
- vaccines and immunoinformatics approaches
- Type
- article
- Field-Weighted Citation Impact
- 2.42