Dynamic copula Bayesian network predictive model for assessing the impact of initiative programs on child undernutrition in Ethiopia, 2009-2016.
- DOI
- 10.1186/s12889-025-25928-7
- Published
- 2026 Jan 3
- Container
- BMC public health
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s12889-025-25928-7,
title = {Dynamic copula Bayesian network predictive model for assessing the impact of initiative programs on child undernutrition in Ethiopia, 2009-2016.},
author = {Begashaw GB and Zewotir T and Fenta HM and Asmamaw MA},
year = {2026},
journal = {BMC public health},
doi = {10.1186/s12889-025-25928-7},
url = {https://doi.org/10.1186/s12889-025-25928-7}
}RIS
TY - JOUR TI - Dynamic copula Bayesian network predictive model for assessing the impact of initiative programs on child undernutrition in Ethiopia, 2009-2016. AU - Begashaw GB AU - Zewotir T AU - Fenta HM AU - Asmamaw MA PY - 2026 JO - BMC public health DO - 10.1186/s12889-025-25928-7 UR - https://doi.org/10.1186/s12889-025-25928-7 ER -
APA
GB, B., T, Z., HM, F., & MA, A. (2026). Dynamic copula Bayesian network predictive model for assessing the impact of initiative programs on child undernutrition in Ethiopia, 2009-2016.. BMC public health. https://doi.org/10.1186/s12889-025-25928-7
Source records
- pubmed · retrieved 2026-09-26T07:57:20.919Z