2016
Connectivity of diagnostic technologies: improving surveillance and accelerating tuberculosis elimination
Andre E, Isaacs C, Affolabi D, Alagna R, Brockmann D, de Jong BC, Cambau E, Churchyard G, Cohen T, Delmee M, Delvenne JC, Farhat M, Habib A, Holme P, Keshavjee S, Khan A, Lightfoot P, Moore D, Moreno Y, Mundade Y, Pai M, Patel S, Nyaruhirira AU, Rocha LE, Takle J, Trébucq A, Creswell J, Boehme C. Connectivity of diagnostic technologies: improving surveillance and accelerating tuberculosis elimination. The International Journal Of Tuberculosis And Lung Disease 2016, 20: 999-1003. PMID: 27393530, PMCID: PMC4937753, DOI: 10.5588/ijtld.16.0015.Peer-Reviewed Original Research
2014
Impact and cost-effectiveness of current and future tuberculosis diagnostics: the contribution of modelling
Dowdy DW, Houben R, Cohen T, Pai M, Cobelens F, Vassall A, Menzies NA, Gomez GB, Langley I, Squire SB, White R, for the TB MAC meeting participants. Impact and cost-effectiveness of current and future tuberculosis diagnostics: the contribution of modelling. The International Journal Of Tuberculosis And Lung Disease 2014, 18: 1012-1018. PMID: 25189546, PMCID: PMC4436823, DOI: 10.5588/ijtld.13.0851.Peer-Reviewed Original Research
2013
Mycobacterium tuberculosis mutation rate estimates from different lineages predict substantial differences in the emergence of drug-resistant tuberculosis
Ford CB, Shah RR, Maeda MK, Gagneux S, Murray MB, Cohen T, Johnston JC, Gardy J, Lipsitch M, Fortune SM. Mycobacterium tuberculosis mutation rate estimates from different lineages predict substantial differences in the emergence of drug-resistant tuberculosis. Nature Genetics 2013, 45: 784-790. PMID: 23749189, PMCID: PMC3777616, DOI: 10.1038/ng.2656.Peer-Reviewed Original Research
2012
Use of Spatial Information to Predict Multidrug Resistance in Tuberculosis Patients, Peru - Volume 18, Number 5—May 2012 - Emerging Infectious Diseases journal - CDC
Lin HH, Shin SS, Contreras C, Asencios L, Paciorek CJ, Cohen T. Use of Spatial Information to Predict Multidrug Resistance in Tuberculosis Patients, Peru - Volume 18, Number 5—May 2012 - Emerging Infectious Diseases journal - CDC. Emerging Infectious Diseases 2012, 18: 811-813. PMID: 22516236, PMCID: PMC3358052, DOI: 10.3201/eid1805.111467.Peer-Reviewed Original Research
2011
A modelling framework to support the selection and implementation of new tuberculosis diagnostic tools [State of the art series. Operational research. Number 8 in the series]
Lin HH, Langley I, Mwenda R, Doulla B, Egwaga S, Millington KA, Mann GH, Murray M, Squire SB, Cohen T. A modelling framework to support the selection and implementation of new tuberculosis diagnostic tools [State of the art series. Operational research. Number 8 in the series]. The International Journal Of Tuberculosis And Lung Disease 2011, 15: 996-1004. PMID: 21740663, DOI: 10.5588/ijtld.11.0062.Peer-Reviewed Original ResearchConceptsDiagnostic strategiesHealth systemTB transmission dynamicsDiagnosis of tuberculosisHealth system requirementsDiagnostic toolHealth system componentsPolicy makersNew diagnostic strategiesHealth care infrastructureNovel diagnostic toolPatient outcomesDifferent epidemiologyJoint modelling frameworkModelling frameworkTest characteristicsCare infrastructureTransmission dynamicsRational choiceTuberculosisTechnological innovationStrategy decisionsDifficult decisionsMakersRecent introduction