Understanding the impact of covariates on the classification of implementation units for soil-transmitted helminths control: a case study from Kenya
Puranik A, Diggle P, Odiere M, Gass K, Kepha S, Okoyo C, Mwandawiro C, Wakesho F, Omondi W, Sultani H, Giorgi E. Understanding the impact of covariates on the classification of implementation units for soil-transmitted helminths control: a case study from Kenya. BMC Medical Research Methodology 2024, 24: 294. PMID: 39614175, PMCID: PMC11606136, DOI: 10.1186/s12874-024-02420-1.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsChildCross-Sectional StudiesHelminthiasisHelminthsHumansKenyaModels, StatisticalPrevalenceSoilConceptsPredictive inferenceRemotely sensed covariatesSimulation studyModel-based geostatisticsGeostatistical modelImpact of covariatesSpatially referenced covariatesSample sizeModern statistical methodsModel-based geostatistical methodsCross-sectional surveyCovariatesReduced sample sizeClassification of areasPrevalence predictionsInferenceDisease riskMethodsThis studyPrevalenceSub-countyPrevalence levels