Using a model-based geostatistical approach to design and analyse the prevalence of schistosomiasis in Kenya
Okoyo C, Minnery M, Orowe I, Owaga C, Wambugu C, Olick N, Hagemann J, Omondi W, Gichuki P, McCracken K, Montresor A, Fronterre C, Diggle P, Mwandawiro C. Using a model-based geostatistical approach to design and analyse the prevalence of schistosomiasis in Kenya. Frontiers In Tropical Diseases 2023, 4: 1240617. DOI: 10.3389/fitd.2023.1240617.Peer-Reviewed Original ResearchTreatment strategy changesSchool-based deworming programmePublic health problemPrevalence of schistosomiasisWorld Health Organization guidelinesCross-sectional surveyHealth Organization guidelinesPredictive probabilitySCH prevalenceDeworming programsSchistosoma haematobiumHealth problemsSchistosoma mansoniOrganization guidelinesStudy designCounties of KenyaPrevalenceSchistosomiasisHighest predictive probabilityParasitic wormsTreatment requirementsTreatmentGuidelinesMorbidityHaematobium