0000000000074179

AUTHOR

Zahid A. Butt

showing 9 related works from this author

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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The global, regional, and national burden of cirrhosis by cause in 195 countries and territories, 1990-2017 : a systematic analysis for the Global Bu…

2020

Background\ud \ud Cirrhosis and other chronic liver diseases (collectively referred to as cirrhosis in this paper) are a major cause of morbidity and mortality globally, although the burden and underlying causes differ across locations and demographic groups. We report on results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 on the burden of cirrhosis and its trends since 1990, by cause, sex, and age, for 195 countries and territories.\ud \ud \ud \ud Methods\ud \ud We used data from vital registrations, vital registration samples, and verbal autopsies to estimate mortality. We modelled prevalence of total, compensated, and decompensated cirrhosis on the bas…

Liver CirrhosisMaleCirrhosisCost-Benefit AnalysisHEPATITIS-BGlobal Burden of DiseaseLiver diseaseDisability Evaluation0302 clinical medicineBurden Global Mortality CirrhosisNon-alcoholic Fatty Liver DiseaseRisk FactorsFIBROSISEurope EasternPOPULATIONAged 80 and overeducation.field_of_studySingaporeMortality rate1. No povertyGastroenterologyHepatitis CHepatitis BMiddle AgedHepatitis BHepatitis C3. Good healthPREVALENCE030220 oncology & carcinogenesisAsia Central030211 gastroenterology & hepatologyEgyptFemaleQuality-Adjusted Life YearsViral hepatitisLife Sciences & BiomedicineAdultEUROPEPopulationGBD 2017 Cirrhosis CollaboratorsArticle03 medical and health sciencesLIVER-DISEASEmedicineHumanseducationLiver Diseases AlcoholicAfrica South of the SaharaAgedScience & TechnologyHepatologyGastroenterology & Hepatologybusiness.industryMORTALITYDISABILITYDECOMPENSATIONmedicine.diseaseYears of potential life lostEarly DiagnosisSocioeconomic Factors3121 General medicine internal medicine and other clinical medicineINJURIESHuman medicinebusinessDemographyRCLancet gastroenterology & hepatology
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Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017

2020

Artículo con numerosos autores, sólo se mencionan el primero, los de la UAM y grupo colectivo

MaleLocal patternsDouble burdenBörnResearch & Experimental MedicineSjúkdómseinkenniDOUBLE BURDENChildhood overweightLífefnafræðiLæknisfræði0302 clinical medicineSyndemicChild11 Medical and Health Sciencesunder 5 years of ageGeneral Medicine3. Good healthGeographyMedicine Research & ExperimentalChild PreschoolIncomeGROWTHAFRICAmedicine.medical_specialtyBiochemistry & Molecular BiologyRJMedicinaImmunologyeducationMODELSwa_395General Biochemistry Genetics and Molecular BiologyArticleG03 medical and health sciencesHumansAuthor CorrectionDeveloping CountriesPovertyBiologyLBD Double Burden of Malnutrition CollaboratorsDemographyScience & TechnologyWasting SyndromePublic healthMORTALITYInfantNæringarskorturmedicine.diseaseObesityTRENDSsigns and symptomsSocial ClassRisk factorsSameindalíffræðiITC-ISI-JOURNAL-ARTICLEUNDERNUTRITIONHuman medicineClinical Medicine030217 neurology & neurosurgeryPediatric ObesityobesityOffitaÁhættuþættirGeographic MappingOverweightRA0421Global healthrisk factors030212 general & internal medicineSigns and symptomsWastingMalnutrition Global Burden of Diseases Global Nutrition low- and middle-income countries2. Zero hungerPublic health1. No povertyPublic Health Global Health Social Medicine and EpidemiologyA900 Others in Medicine and DentistryChildhood wastingPREVALENCEChemistryMappingFemaleLýðheilsamedicine.symptomLife Sciences & BiomedicineGROWTH FAILURENutritional StatusmalnutritionITC-HYBRIDws_115childrenEnvironmental healthmedicineErfðafræðiObesitywd_200MalnutritionInfant NewbornKlinisk medicinCell BiologyOverweightMalnutritionFolkhälsovetenskap global hälsa socialmedicin och epidemiologi3121 General medicine internal medicine and other clinical medicineNA
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Additional file 3 of Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000–2018

2023

Additional file 3: Supplemental figures.Figure S1. Prevalence of male circumcision. Figure S2. Prevalence of signs and symptoms of sexually transmitted infections. Figure S3. Prevalence of marriage or living as married. Figure S4. Prevalence of partner living elsewhere among females. Figure S5. Prevalence of condom use during most recent sexual encounter. Figure S6. Prevalence of sexual activity among young females. Figure S7. Prevalence of multiple partners among males in the past year. Figure S8. Prevalence of multiple partners among females in the past year. Figure S9. HIV prevalence predictions from the boosted regression tree model. Figure S10. HIV prevalence predictions from the gener…

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Estimates, trends, and drivers of the global burden of type 2 diabetes attributable to PM2·5 air pollution, 1990–2019: an analysis of data from the G…

2022

Background: Experimental and epidemiological studies indicate an association between exposure to particulate matter (PM) air pollution and increased risk of type 2 diabetes. In view of the high and increasing prevalence of diabetes, we aimed to quantify the burden of type 2 diabetes attributable to PM2·5 originating from ambient and household air pollution.Methods: We systematically compiled all relevant cohort and case-control studies assessing the effect of exposure to household and ambient fine particulate matter (PM2·5) air pollution on type 2 diabetes incidence and mortality. We derived an exposure–response curve from the extracted relative risk estimates using the MR-BRT (meta-regress…

Contaminación del AireHealth (social science)Type II DiabetesType 2 diabetes deathsair pollutionand YLLs attributable to all PM2·5 air pollutionMedicine (miscellaneous)and change from 1990 to 2019DALYsburden of diseaseGlobal Burden of DiseaseCarga Global de EnfermedadesMELLITUSINFLAMMATIONand household PM2·5 pollution from solid fuels in seven GBD super-regions and globally in 2019Diabetes MellitusHumansBiologyASSOCIATIONSRISKINSULIN-RESISTANCEGBD 2019 Diabetes and Air Pollution CollaboratorsHealth PolicyMaterial ParticuladoPublic Health Environmental and Occupational HealthBayes TheoremLONG-TERM EXPOSUREHumanosYLDsChemistryDiabetes Mellitus Type 23121 General medicine internal medicine and other clinical medicineAños de Vida Ajustados por Calidad de Vidaambient PM2·5 pollutionParticulate MatterQuality-Adjusted Life YearsHuman medicineFINE PARTICULATE MATTERRAType II Diabetes; air pollution; burden of disease;The Lancet Planetary Health
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Global burden of chronic respiratory diseases and risk factors, 1990-2019: an update from the Global Burden of Disease Study 2019

2023

Background: Updated data on chronic respiratory diseases (CRDs) are vital in their prevention, control, and treatment in the path to achieving the third UN Sustainable Development Goals (SDGs), a one-third reduction in premature mortality from non-communicable diseases by 2030. We provided global, regional, and national estimates of the burden of CRDs and their attributable risks from 1990 to 2019.Methods: Using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we estimated mortality, years lived with disability, years of life lost, disability-adjusted life years (DALYs), prevalence, and incidence of CRDs, i.e. chronic obstructive pulmonary disease (COPD)…

Pulmonary emphysemaLung disease;MorbidityEpidemiologyChronic obstructive pulmonary diseaseInterstitial lung diseaseGeneral MedicinePneumoconiosiAsthmaSDG 3 - Good Health and Well-beingMortality; PneumoconiosisLung diseasePneumoconiosisMorbidityMortality
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Additional file 1 of Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000–2018

2023

Additional file 1: Supplemental information.1. Compliance with the Guidlines for Accurate and Transparent Health Estimates Reporting (GATHER). 2. HIV data sources and data processing. 3. Covariate and auxiliary data. 4. Statistical model. 5. References.

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Additional file 2 of Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000–2018

2023

Additional file 2: Supplemental tables.Table S1. HIV seroprevalence survey data. Table S2. ANC sentinel surveillance data. Table S3. HIV and covariates surveys excluded from this analysis. Table S4. Sources for pre-existing covariates. Table S5. HIV covariate survey data. Table S6. Fitted model parameters.

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Additional file 4 of Mapping age- and sex-specific HIV prevalence in adults in sub-Saharan Africa, 2000–2018

2023

Additional file 4: Supplemental results.1. README. 2. Prevalence range across districts. 3. Prevalence range between sexes. 4. Prevalence range between ages. 5. Age-specific district ranges.

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