Geo-spatial factors associated with infection risk among young children in rural Ghana: a secondary spatial analysis.

ABSTRACT:

Background

Determining the spatial patterns of infection among young children living in a malaria-endemic area may provide a means of locating high-risk populations who could benefit from additional resources for treatment and improved access to healthcare. The objective of this secondary analysis of baseline data from a cluster-randomized trial among 1943 young Ghanaian children (6-35 months of age) was to determine the geo-spatial factors associated with malaria and non-malaria infection status.

Methods

Spatial analyses were conducted using a generalized linear geostatistical model with a Matern spatial correlation function and four definitions of infection status using different combinations of inflammation (C-reactive protein, CRP > 5 mg/L) and malaria parasitaemia (with

SUBMITTER: Aimone AM 

PROVIDER: S-EPMC4938940 | biostudies-literature | 2016 Jul

REPOSITORIES: biostudies-literature