Multinomial logistic regression analysis of the determinants of anaemia severity among children aged 6–59 months in Ghana: new evidence from the 2019 Malaria Indicator Survey
- DOI
- 10.1186/s12887-023-03919-0
- Published
- 2023-02-27
- Container
- BMC Pediatrics
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s12887-023-03919-0,
title = {Multinomial logistic regression analysis of the determinants of anaemia severity among children aged 6–59 months in Ghana: new evidence from the 2019 Malaria Indicator Survey},
author = {Desmond Klu and Donatus Yaw Atiglo and Aaron Kobina Christian},
year = {2023},
journal = {BMC Pediatrics},
doi = {10.1186/s12887-023-03919-0},
url = {https://doi.org/10.1186/s12887-023-03919-0}
}RIS
TY - JOUR TI - Multinomial logistic regression analysis of the determinants of anaemia severity among children aged 6–59 months in Ghana: new evidence from the 2019 Malaria Indicator Survey AU - Desmond Klu AU - Donatus Yaw Atiglo AU - Aaron Kobina Christian PY - 2023 JO - BMC Pediatrics DO - 10.1186/s12887-023-03919-0 UR - https://doi.org/10.1186/s12887-023-03919-0 ER -
APA
Klu, D., Atiglo, D. Y., & Christian, A. K. (2023). Multinomial logistic regression analysis of the determinants of anaemia severity among children aged 6–59 months in Ghana: new evidence from the 2019 Malaria Indicator Survey. BMC Pediatrics. https://doi.org/10.1186/s12887-023-03919-0
Source records
- crossref · retrieved 2026-09-27T14:05:54.983Z