2015
Data for action: collection and use of local data to end tuberculosis
Theron G, Jenkins HE, Cobelens F, Abubakar I, Khan AJ, Cohen T, Dowdy DW. Data for action: collection and use of local data to end tuberculosis. The Lancet 2015, 386: 2324-2333. PMID: 26515676, PMCID: PMC4708262, DOI: 10.1016/s0140-6736(15)00321-9.Peer-Reviewed Original ResearchMeSH KeywordsBacterial Typing TechniquesData CollectionDrug Resistance, BacterialEthics, MedicalGeographic Information SystemsGeographic MappingHumansMycobacterium tuberculosisTuberculosisThe prospective evaluation of the TB strain typing service in England: a mixed methods study
Mears J, Vynnycky E, Lord J, Borgdorff MW, Cohen T, Crisp D, Innes JA, Lilley M, Maguire H, McHugh TD, Woltmann G, Abubakar I, Sonnenberg P. The prospective evaluation of the TB strain typing service in England: a mixed methods study. Thorax 2015, 71: thoraxjnl-2014-206480. PMID: 25882538, DOI: 10.1136/thoraxjnl-2014-206480.Peer-Reviewed Original ResearchConceptsDiagnostic delayTB incidenceTB notification ratesProportion of infectionsMycobacterium tuberculosis diagnosisFalse-positive diagnosesCost-effectiveness analysisMixed-methods evaluationStrain typingTB programsProspective evaluationNotification ratesInfection increasesTuberculosis diagnosisPositive diagnosisPublic health dataComplex interventionsIncidenceMixed-methods studyRoutine laboratoryDiagnosisHealth dataCluster investigationsTypingMethods study
2014
Magnitude and sources of bias in the detection of mixed strain M. tuberculosis infection
Plazzotta G, Cohen T, Colijn C. Magnitude and sources of bias in the detection of mixed strain M. tuberculosis infection. Journal Of Theoretical Biology 2014, 368: 67-73. PMID: 25553967, PMCID: PMC7011203, DOI: 10.1016/j.jtbi.2014.12.009.Peer-Reviewed Original ResearchMeSH KeywordsBacterial Typing TechniquesBiasCoinfectionHumansModels, BiologicalMycobacterium tuberculosisPrevalenceResearch DesignSpecimen HandlingSputumTuberculosisConceptsMixed infectionsM. tuberculosis infectionIncidence of TBOutcome of treatmentPopulation-level interventionsFraction of casesTuberculosis infectionMinority strainsActual prevalenceInfected individualsInfectionStudy designMycobacterium tuberculosisPrevalenceSputumTuberculosisDistinct strainsDifferent strainsSources of biasPrevious studiesPatientsSpecific reasonsIncidenceIndividualsProspective evaluation of a complex public health intervention: lessons from an initial and follow-up cross-sectional survey of the tuberculosis strain typing service in England
Mears J, Abubakar I, Crisp D, Maguire H, Innes JA, Lilley M, Lord J, Cohen T, Borgdorff MW, Vynnycky E, McHugh TD, Sonnenberg P. Prospective evaluation of a complex public health intervention: lessons from an initial and follow-up cross-sectional survey of the tuberculosis strain typing service in England. BMC Public Health 2014, 14: 1023. PMID: 25273511, PMCID: PMC4194411, DOI: 10.1186/1471-2458-14-1023.Peer-Reviewed Original ResearchMeSH KeywordsAttitude of Health PersonnelBacterial Typing TechniquesClinical CompetenceCost-Benefit AnalysisCross-Sectional StudiesEnglandFemaleFollow-Up StudiesHealth ServicesHumansMaleMolecular EpidemiologyMycobacteriumPopulation SurveillanceProgram EvaluationProspective StudiesPublic HealthSurveys and QuestionnairesTuberculosisConceptsPublic health interventionsComplex public health interventionsCross-sectional surveyHealth interventionsNational public health interventionsStrain typingPublic health staffRepeated cross-sectional surveySignificant increaseMIRU-VNTR typingProportion of respondentsTB patientsSelf-rated knowledgeTB controlProspective evaluationMixed-method evaluationHealth staffProspective identificationMajority of respondentsService users' perceptionsMethodsAn onlineInterventionTypingFuture evaluationProfessional groups
2012
The impact of new tuberculosis diagnostics on transmission: why context matters
Lin HH, Dowdy D, Dye C, Murray M, Cohen T. The impact of new tuberculosis diagnostics on transmission: why context matters. Bulletin Of The World Health Organization 2012, 90: 739-747. PMID: 23109741, PMCID: PMC3471051, DOI: 10.2471/blt.11.101436.Peer-Reviewed Original ResearchMeSH KeywordsBacterial Typing TechniquesBayes TheoremHIV InfectionsHumansIncidenceMicroscopyModels, BiologicalSensitivity and SpecificitySputumTanzaniaTuberculosisConceptsNew tuberculosis diagnosticsNew diagnostic toolsPatient lossHuman immunodeficiency virus (HIV) infectionTuberculosis diagnosticsSmear-negative pulmonary tuberculosisDiagnostic toolImmunodeficiency virus infectionTreatment success rateSmear-negative casesIncidence of tuberculosisEpidemiology of tuberculosisPatient defaultPulmonary tuberculosisTuberculosis careDiagnostic pathwayTuberculosis transmissionSymptomatic individualsVirus infectionSmear microscopyTuberculosisAnnual declineDiagnosisAbsolute changeSuccess rate