Determinants and spatial factors of anemia in women of reproductive age in Democratic Republic of Congo (drc): a Bayesian multilevel ordinal logistic regression model approach

Determinants and spatial factors of anemia in women of reproductive age in Democratic Republic of Congo (drc): a Bayesian multilevel ordinal logistic regression model approach

Abstract Background As a global public health problem, anemia affects more than 400 million women of reproductive age worldwide, mostly in Africa and India. In the DRC, the prevalence of anemia has decreased slightly from 52.9% in 2007, to 46.4% in 2012 and 42.4% in 2019. However, there is considera...

Full description

Bibliographic Details
Main Authors: Martin Abysina Soda, Eugénie Kabali Hamuli, Salomon Agasa Batina, Ngianga-Bakwin Kandala
Format: Article
Language:English
Published: BMC 2024-01-01
Series:BMC Public Health
Subjects:
Determinants and spatial factors
Anemia in women of reproductive age
Multilevel and spatial Bayesian ordinal logistic regression model
Online Access:https://doi.org/10.1186/s12889-023-17554-y

Internet

https://doi.org/10.1186/s12889-023-17554-y

Similar Items