0000000000649424

AUTHOR

Mustafa Geleto Ansha

showing 2 related works from this author

The global burden of cancer attributable to risk factors, 2010–19 : A systematic analysis for the Global Burden of Disease Study 2019

2022

Background: Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. Methods: The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk-outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 20…

MaleDEATHSDALY cancer risk factorsMedizinsystematic analysisGlobal HealthRisk AssessmentCancer preventionGlobal Burden of DiseaseRC0254Risk-attributable cancer deathsSDG 3 - Good Health and Well-beingRA0421Risk FactorsRA0421 Public health. Hygiene. Preventive MedicineQuality-Adjusted Life YearNeoplasmscancerHumansGlobal Burden of Disease StudyUKMedicine(all)MCCRC0254 Neoplasms. Tumors. Oncology (including Cancer)Risk FactorSmokingCOVID-193rd-DASGeneral MedicineDisability-adjusted life-yearsSOCIAL DETERMINANTSRisk assessmentsrisk factorCardiovascular and Metabolic Diseases3121 General medicine internal medicine and other clinical medicineOBESITYCancer burden/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingNeoplasmFemaleLIFE-STYLEQuality-Adjusted Life YearsHEALTHRAHumanRC
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Predicting the environmental suitability for onchocerciasis in Africa as an aid to elimination planning

2021

Recent evidence suggests that, in some foci, elimination of onchocerciasis from Africa may be feasible with mass drug administration (MDA) of ivermectin. To achieve continental elimination of transmission, mapping surveys will need to be conducted across all implementation units (IUs) for which endemicity status is currently unknown. Using boosted regression tree models with optimised hyperparameter selection, we estimated environmental suitability for onchocerciasis at the 5 × 5-km resolution across Africa. In order to classify IUs that include locations that are environmentally suitable, we used receiver operating characteristic (ROC) analysis to identify an optimal threshold for suitabil…

OncocercosisDecision AnalysisRC955-962Onchocerciasislaw.inventionGeographical LocationsMedical Conditions0302 clinical medicinelawArctic medicine. Tropical medicineMedicine and Health Sciences030212 general & internal medicineOnchocerca11 Medical and Health SciencesData ManagementbiologyPharmaceuticswc_695Enfermedades ParasitariasOnchocerciasi3. Good healthInfectious DiseasesGeographyTransmission (mechanics)Helminth InfectionsEngineering and TechnologyMass Drug AdministrationOnchocercaPublic aspects of medicineRA1-1270Management EngineeringCartographyHumanResearch ArticleNeglected Tropical DiseasesComputer and Information SciencesDrug Administration030231 tropical medicineDecision treewa_395Dermatologywc_765Environmentwc_885Research and Analysis MethodsSkin Diseases03 medical and health sciencesDrug TherapySDG 3 - Good Health and Well-beingDiagnostic MedicineTropical MedicineParasitic DiseasesmedicineHumansDisease EradicationSpatial analysisIvermectinData collectionReceiver operating characteristicData VisualizationDecision TreesPublic Health Environmental and Occupational Health06 Biological SciencesOnchocerciasis ; Elimination planning ; Africa ; Implementation units ; Public healthTropical Diseasesmedicine.diseasebiology.organism_classificationHealth CareROC CurvePeople and PlacesAfricaHealth StatisticsMorbidityOnchocerciasisScale (map)ForecastingPLOS Neglected Tropical Diseases
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