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ABSTRACT: Background
Febrile illness is a leading cause of morbidity and mortality among children in low- and middle-income countries, yet the spatial distribution and environmental drivers of pediatric fever in Uganda remain poorly characterized.Methods
We analyzed data from the 2016 Uganda Demographic and Health Survey to estimate the prevalence of febrile illness among children under 5 years of age. Using a geostatistical binomial model, we evaluated associations between fever prevalence and environmental, nutritional, and sociodemographic covariates. Spatial prediction and model calibration were conducted using the PrevMap package in R, and model performance was assessed using nonrandomized probability integral transform (nrPIT) and theoretical variograms.Results
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SUBMITTER: Ssentongo P
PROVIDER: S-EPMC12805556 | biostudies-literature | 2026 Jan
REPOSITORIES: biostudies-literature