2023
Machine learning to predict bacteriologic confirmation of Mycobacterium tuberculosis in infants and very young children
Smith J, Milligan K, McCarthy K, Mchembere W, Okeyo E, Musau S, Okumu A, Song R, Click E, Cain K. Machine learning to predict bacteriologic confirmation of Mycobacterium tuberculosis in infants and very young children. PLOS Digital Health 2023, 2: e0000249. PMID: 37195976, PMCID: PMC10191346, DOI: 10.1371/journal.pdig.0000249.Peer-Reviewed Original ResearchMicrobial confirmationTB diseaseYoung childrenNoninvasive procedureLarge prospective cohortCases of tuberculosisChest X-rayDiagnosis of tuberculosisClinical decision makingBacteriologic confirmationHousehold contactsTB infectionProspective cohortRadiologic factorsPaucibacillary natureClinical similaritiesDiagnostic cohortClinical diseaseChildhood diseasesInvasive proceduresNovel biomarkersTuberculosisClinical researchM. tuberculosisDisease
2015
Why healthcare workers are sick of TB
von Delft A, Dramowski A, Khosa C, Kotze K, Lederer P, Mosidi T, Peters JA, Smith J, van der Westhuizen HM, von Delft D, Willems B, Bates M, Craig G, Maeurer M, Marais BJ, Mwaba P, Nunes EA, Nyirenda T, Oliver M, Zumla A. Why healthcare workers are sick of TB. International Journal Of Infectious Diseases 2015, 32: 147-151. PMID: 25809771, DOI: 10.1016/j.ijid.2014.12.003.Peer-Reviewed Original ResearchConceptsDrug-resistant tuberculosisInfection control measuresHealthcare workersLife-threatening diagnosisRisk of tuberculosisOccupational tuberculosisTB diseaseTreatment optionsTB epidemicPrevalent exposureHealthcare colleaguesHealthcare resourcesUrgent interventionTuberculosisControl measuresInterventionPervasive stigmatizationFront-line workersDiseaseDiagnosisWorkers
2013
Aspiring to Zero Tuberculosis Deaths among Southern Africa's Miners: Is There a Way Forward?
Dharmadhikari A, Smith J, Nardell E, Churchyard G, Keshavjee S. Aspiring to Zero Tuberculosis Deaths among Southern Africa's Miners: Is There a Way Forward? International Journal Of Social Determinants Of Health And Health Services 2013, 43: 651-664. PMID: 24397232, DOI: 10.2190/hs.43.4.d.Peer-Reviewed Original ResearchMeSH KeywordsAfrica, SouthernComorbidityDisease ProgressionEarly DiagnosisHIV InfectionsHousingHumansImmunocompromised HostLatent TuberculosisMaleMiningOccupational DiseasesOccupational Health ServicesSecondary PreventionSilicosisSocial ConditionsTuberculosisTuberculosis, Multidrug-ResistantWorkforceConceptsTuberculosis notification ratesNotification ratesDrug-resistant strainsSpread of tuberculosisHigh rateTuberculosis deathsActive tuberculosisHIV infectionSouth African minersImmediate treatmentTuberculosis diseaseConcurrent treatmentTuberculosis mortalityGeneral populationAppropriate managementTuberculosisSilica dustActive casesBiomedical interventionsDiseaseDeathAirborne diseasesInfectionPoor workingAfrican miners