Dynamic copula Bayesian network predictive model for assessing the impact of initiative programs on child undernutrition in Ethiopia, 2009-2016.

Begashaw GB, Zewotir T, Fenta HM, Asmamaw MA

Open source

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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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

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