Mapping of anaemia prevalence among pregnant women in Kenya (2016-2019).

ABSTRACT:

Background

Reducing the burden of anaemia is a critical global health priority that could improve maternal outcomes amongst pregnant women and their neonates. As more counties in Kenya commit to universal health coverage, there is a growing need for optimal allocation of the limited resources to sustain the gains achieved with the devolution of healthcare services. This study aimed to describe the spatio-temporal patterns of maternal anaemia prevalence in Kenya from 2016 to 2019.

Methods

Quarterly reported sub-county level maternal anaemia cases from January 2016 - December 2019 were obtained from the Kenyan District Health Information System. A Bayesian hierarchical negative binomial spatio-temporal conditional autoregressive (CAR) model was used to estimate maternal anaemi

SUBMITTER: Odhiambo JN 

PROVIDER: S-EPMC7685542 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature