0000000000649451

AUTHOR

Habib Benzian

0000-0003-3692-4849

showing 6 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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The global distribution of lymphatic filariasis, 2000–18:a geospatial analysis

2020

Background Lymphatic filariasis is a neglected tropical disease that can cause permanent disability through disruption of the lymphatic system. This disease is caused by parasitic filarial worms that are transmitted by mosquitos. Mass drug administration (MDA) of antihelmintics is recommended by WHO to eliminate lymphatic filariasis as a public health problem. This study aims to produce the first geospatial estimates of the global prevalence of lymphatic filariasis infection over time, to quantify progress towards elimination, and to identify geographical variation in distribution of infection. Methods A global dataset of georeferenced surveyed locations was used to model annual 2000–18 lym…

medicine.medical_specialtyGeospatial analysis030231 tropical medicineElephantiasis:ELIMINATIONcomputer.software_genreArticleLocal Burden of Disease 2019 Neglected Tropical Diseases Collaborators1117 Public Health and Health Services03 medical and health sciences0302 clinical medicineRA0421Environmental healthGlobal healthmedicine030212 general & internal medicineMass drug administrationLymphatic filariasisPublic healthlcsh:Public aspects of medicineTropical diseaselcsh:RA1-1270General Medicinemedicine.disease3. Good healthQRGeographyLymphatic systemITC-ISI-JOURNAL-ARTICLEA990 Medicine and Dentistry not elsewhere classifiedITC-GOLDcomputer0605 Microbiology
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Global, regional, and national disability-adjusted life years (DALYs) for 306 diseases and injuries and healthy life expectancy (HALE) for 188 countr…

2015

Summary Background The Global Burden of Disease Study 2013 (GBD 2013) aims to bring together all available epidemiological data using a coherent measurement framework, standardised estimation methods, and transparent data sources to enable comparisons of health loss over time and across causes, age–sex groups, and countries. The GBD can be used to generate summary measures such as disability-adjusted life-years (DALYs) and healthy life expectancy (HALE) that make possible comparative assessments of broad epidemiological patterns across countries and time. These summary measures can also be used to quantify the component of variation in epidemiology that is related to sociodemographic develo…

GerontologyMaleCHANGING RELATIONNutrition and DiseaseMESH : Life ExpectancyMESH : AgedECONOMIC-DEVELOPMENTPoison controlMESH: Global HealthGlobal HealthSocioeconomic FactorCommunicable DiseaseMESH : Chronic DiseaseHealth TransitionVoeding en ZiekteQuality-Adjusted Life YearSELF-RATED HEALTHMESH : Socioeconomic FactorsMedicineMESH : FemaleMESH: Mortality Premature2. Zero hungerMESH: Agededucation.field_of_studyMESH: Middle AgedMortality rateMedicine (all)GBD2013 diseases[ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologieGeneral MedicineMiddle Aged3. Good healthMESH : Wounds and InjuriesEpidemiological transitionMESH: Quality-Adjusted Life YearsMESH: Communicable DiseasesNONCOMMUNICABLE DISEASESFemaleQuality-Adjusted Life YearsMESH: Life ExpectancyMESH: Health TransitionHumanMESH: Socioeconomic FactorsACUTE MYOCARDIAL-INFARCTIONMESH : MaleMORTALITY TRENDSPopulationMESH : Health TransitionCommunicable DiseasesArticleLife ExpectancyEUROPEAN-UNIONSDG 3 - Good Health and Well-beingGeneral & Internal MedicineSYSTEMATIC ANALYSISDisability-adjusted life yearHumansLife ScienceMESH : Middle AgedMortalityeducationPrematureMESH : Mortality PrematureVLAGAgedMESH: Humansbusiness.industryMortality PrematureMESH: Chronic DiseaseMESH : Communicable DiseasesWounds and InjurieMESH : HumansMESH : Quality-Adjusted Life YearsNon-communicable diseaseAged; Chronic Disease; Communicable Diseases; Female; Global Health; Humans; Male; Middle Aged; Mortality Premature; Quality-Adjusted Life Years; Socioeconomic Factors; Wounds and Injuries; Health Transition; Life Expectancy; Medicine (all)medicine.diseaseMESH: MaleLOW SOCIOECONOMIC-STATUSYears of potential life lostSocioeconomic Factors[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologieMESH: Wounds and InjuriesChronic DiseaseLife expectancyRISK-FACTORSMESH : Global HealthWounds and Injuries[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologiebusinessMESH: FemaleDemographyLancet
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Mapping geographical inequalities in access to drinking water and sanitation facilities in low-income and middle-income countries, 2000-17.

2020

Background: Universal access to safe drinking water and sanitation facilities is an essential human right, recognised in the Sustainable Development Goals as crucial for preventing disease and improving human wellbeing. Comprehensive, high-resolution estimates are important to inform progress towards achieving this goal. We aimed to produce highresolution geospatial estimates of access to drinking water and sanitation facilities. Methods: We used a Bayesian geostatistical model and data from 600 sources across more than 88 low-income and middle-income countries (LMICs) to estimate access to drinking water and sanitation facilities on continuous continent-wide surfaces from 2000 to 2017, and…

Drinking water accessSanitationUniversal designGeographic MappingSocioeconomic FactorDISEASE0302 clinical medicineRA0421Hygiene11. SustainabilityGlobal health030212 general & internal medicineSanitationmedia_common2. Zero hungerPublic healthlcsh:Public aspects of medicine1. No povertyGeneral Medicine3142 Public health care science environmental and occupational health6. Clean waterLow-income countries3. Good healthA990 Medicine and Dentistry not elsewhere classifiedCHILD GROWTHTERRITORIESHYGIENEHuman0605 MicrobiologyDiarrheaAFRICAmedicine.medical_specialtymedia_common.quotation_subject030231 tropical medicineLocal Burden of Disease WaSH CollaboratorsDeveloping countryArticleGeographical inequalities1117 Public Health and Health Services12. Responsible consumptionDeveloping Countrie03 medical and health sciencesNUTRITIONAL INTERVENTIONSEnvironmental healthmedicineSYSTEMATIC ANALYSISHumansQUALITYSanitation/statistics & numerical dataOpen defecationImproved sanitationhand washingDeveloping CountriesModels StatisticalMiddle-income countriesDrinking WaterPublic healthlcsh:RA1-1270Bayes TheoremGLOBAL BURDENdiarrheal diseaseDIARRHEADiarrhea/epidemiologyLocal Burden of Disease WaSH CollaboratorSocioeconomic Factors0605 Microbiology 1117 Public Health and Health ServicesITC-ISI-JOURNAL-ARTICLEBusinessHuman medicineSanitation facilitiesITC-GOLD
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Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990-2013: a systematic analysis for …

2015

Background Up-to-date evidence on levels and trends for age-sex-specific all-cause and cause-specific mortality is essential for the formation of global, regional, and national health policies. In the Global Burden of Disease Study 2013 (GBD 2013) we estimated yearly deaths for 188 countries between 1990, and 2013. We used the results to assess whether there is epidemiological convergence across countries. Methods We estimated age-sex-specific all-cause mortality using the GBD 2010 methods with some refinements to improve accuracy applied to an updated database of vital registration, survey, and census data. We generally estimated cause of death as in the GBD 2010. Key improvements included…

MaleAgingPediatricsNutrition and DiseaseDatabases FactualDisease030204 cardiovascular system & hematologyGlobal HealthMedical and Health SciencesDOUBLE-BLIND0302 clinical medicineAdolescent; Adult; Aged; Aged 80 and over; Cause of Death; Child; Child Mortality; Child Preschool; Databases Factual; Female; Global Health; Humans; Infant; Infant Newborn; Life Expectancy; Life Tables; Male; Middle Aged; Models Statistical; Mortality; Sex Distribution; Young AdultModelsVoeding en ZiekteCause of DeathEpidemiologyGlobal health80 and over2.2 Factors relating to the physical environmentLife Tables030212 general & internal medicineAetiologyChildINFLUENZAE TYPE-B11 Medical and Health SciencesCause of deathPediatricAged 80 and overPLACEBO-CONTROLLED-TRIALLife TableMortality rateMedicine (all)1. No povertyGeneral MedicineCHILDHOOD PNEUMONIAMiddle AgedStatistical3. Good healthInfectious DiseasesChild PreschoolPNEUMOCOCCAL CONJUGATE VACCINEChild MortalityFemaleInfectionLife Sciences & BiomedicineHumanAdultmedicine.medical_specialtyAdolescentINTEGRATED APPROACHCHILDREN YOUNGER187 COUNTRIESDatabase03 medical and health sciencesDatabasesYoung AdultMedicine General & InternalLife ExpectancyGeneral & Internal MedicinemedicineLife ScienceHumansMortalitySex DistributionPreschoolFactualVLAGAgedScience & TechnologyModels Statisticalbusiness.industryPreventionPOPULATION HEALTHInfant NewbornENTERIC MULTICENTERInfantGBD 2013 Mortality and Causes of Death CollaboratorsNewbornVerbal autopsyChild mortalityGood Health and Well BeingLife expectancyRISK-FACTORSbusiness2.4 Surveillance and distributionDemographyModel
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Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risk…

2015

Summary Background The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) is the first of a series of annual updates of the GBD. Risk factor quantification, particularly of modifiable risk factors, can help to identify emerging threats to population health and opportunities for prevention. The GBD 2013 provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution. Methods Attributable deaths, years of life lost, years lived with disability, and disability-adjusted life-years (DALYs) have been estimated for 79 risks or clusters of risks using the GBD 2…

MaleFine particulate matterNutrition and DiseaseMESH : SanitationHealth BehaviorDiseasesMESH: Metabolic DiseasesMESH: Global Health030204 cardiovascular system & hematologyMESH: Risk AssessmentGlobal HealthMESH : Nutritional StatusMESH: Occupational Exposure0302 clinical medicineUnsafe SexMESH: Risk FactorsRisk FactorsVoeding en ZiekteMedicineAir-pollutionMESH : Female030212 general & internal medicineMESH : Risk AssessmentSanitationWasting2. Zero hungerFactors de risc en les malaltiesMedicine (all)[ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologiePublic Health Global Health Social Medicine and EpidemiologyGeneral MedicineMESH : Occupational DiseasesMESH: Nutritional StatusAll-cause mortalityMESH : Risk FactorshumanitiesEnvironmental Exposure; Female; Global Health; Health Behavior; Humans; Male; Metabolic Diseases; Nutritional Status; Occupational Diseases; Occupational Exposure; Risk Assessment; Risk Factors; Sanitation; Medicine (all)Tobacco smoking3. Good healthOccupational DiseasesNutritional StatuMESH : Occupational ExposureMESH : Metabolic DiseasesCohortFemalemedicine.symptomRisk assessmentBlood-pressureHumanMESH: Occupational DiseasesRisk factors in diseasesCoronary-heart-diseaseMESH : MaleMESH: Health BehaviorMESH: Environmental ExposureNutritional StatusPopulation healthBody-mass indexRisk Assessment03 medical and health sciencesHousehold cookingMetabolic DiseasesCardiovascular-diseaseEnvironmental healthGeneral & Internal MedicineOccupational Exposureparasitic diseasesLife ScienceMESH: SanitationHumansRisk factorMESH : Health BehaviorVLAGGBD2013MESH: Humansbusiness.industryRisk FactorGlobal Burden of Disease Study; 79 behavioural environmental and occupational and metabolic risksLong-term exposureMESH : HumansCAUSE-SPECIFIC MORTALITYEnvironmental ExposureMESH: MaleMetabolic DiseaseOccupational DiseaseFolkhälsovetenskap global hälsa socialmedicin och epidemiologiMALE BRITISH DOCTORSYears of potential life lostRelative riskMalaltiesMESH : Global HealthOUTDOOR AIR-POLLUTION[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologiebusinessMESH : Environmental ExposureMESH: FemaleLancet
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