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Dataset Information

Spatiotemporal patterns of diarrhea incidence in Ghana and the impact of meteorological and socio-demographic factors.


ABSTRACT:

Background

Diarrhea remains a significant public health problem and poses a considerable financial burden on Ghana's health insurance scheme. In order to prioritize district-level hotspots of diarrhea incidence for effective targeted interventions, it is important to understand the potential drivers of spatiotemporal patterns of diarrhea. We aimed to identify the spatiotemporal heterogeneity of diarrhea incidence in Ghana and explore how meteorological and socio-demographic factors influence the patterns.

Methods

We used monthly district-level clinically diagnosed diarrhea data between 2012 and 2018 obtained from the Centre for Health Information and Management of the Ghana Health Services. We utilized a hierarchical Bayesian spatiotemporal modeling framework to evaluate pot

SUBMITTER: Asare EO 

PROVIDER: S-EPMC9272077 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature