2024
The long-term effects of domestic and international tuberculosis service improvements on tuberculosis trends within the USA: a mathematical modelling study
Menzies N, Swartwood N, Cohen T, Marks S, Maloney S, Chappelle C, Miller J, Asay G, Date A, Horsburgh C, Salomon J. The long-term effects of domestic and international tuberculosis service improvements on tuberculosis trends within the USA: a mathematical modelling study. The Lancet Public Health 2024, 9: e573-e582. PMID: 39095134, PMCID: PMC11344642, DOI: 10.1016/s2468-2667(24)00150-6.Peer-Reviewed Original ResearchConceptsTuberculosis servicesTuberculosis incidenceCenters for Disease Control and PreventionUS Centers for Disease Control and PreventionDisease Control and PreventionControl and PreventionCombination of interventionsTuberculosis eliminationCountry of originIntervention scenariosInternational interventionLow tuberculosis incidenceService improvementCurrent serviceTuberculosis ProgrammeTuberculosis deathsEconomic outcomesInterventionEpidemiological dataTuberculosis burdenLong-term effectsTotal populationSimulate healthTuberculosis trendsServices
2021
Evaluating the reliability of mobility metrics from aggregated mobile phone data as proxies for SARS-CoV-2 transmission in the USA: a population-based study
Kishore N, Taylor AR, Jacob PE, Vembar N, Cohen T, Buckee CO, Menzies NA. Evaluating the reliability of mobility metrics from aggregated mobile phone data as proxies for SARS-CoV-2 transmission in the USA: a population-based study. The Lancet Digital Health 2021, 4: e27-e36. PMID: 34740555, PMCID: PMC8563007, DOI: 10.1016/s2589-7500(21)00214-4.Peer-Reviewed Original ResearchConceptsSARS-CoV-2 transmissionPopulation-based studyLaboratory-confirmed casesSARS-CoV-2 pandemicSARS-CoV-2Non-pharmaceutical interventionsCOVID-19 transmissionCOVID-19 casesEpidemiological dataReproduction numberEffective reproduction numberHealth StatisticsEquity of accessEpidemic trajectoriesCOVID-19Public healthTransmission indicatorsPopulation levelContact patterns
2018
Internal migration and transmission dynamics of tuberculosis in Shanghai, China: an epidemiological, spatial, genomic analysis
Yang C, Lu L, Warren JL, Wu J, Jiang Q, Zuo T, Gan M, Liu M, Liu Q, DeRiemer K, Hong J, Shen X, Colijn C, Guo X, Gao Q, Cohen T. Internal migration and transmission dynamics of tuberculosis in Shanghai, China: an epidemiological, spatial, genomic analysis. The Lancet Infectious Diseases 2018, 18: 788-795. PMID: 29681517, PMCID: PMC6035060, DOI: 10.1016/s1473-3099(18)30218-4.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overChinaDisease Transmission, InfectiousFemaleGenotypeHumansMaleMiddle AgedMinisatellite RepeatsMolecular EpidemiologyMycobacterium tuberculosisPolymorphism, Single NucleotideRural PopulationSpatial AnalysisTransients and MigrantsTuberculosisUrban PopulationWhole Genome SequencingConceptsM tuberculosisEpidemiological dataSingle nucleotide polymorphismsCulture-positive Mycobacterium tuberculosis isolatesCulture-positive tuberculosisPopulation-based studyMycobacterium tuberculosis isolatesTransmission dynamicsTime of infectionDynamics of tuberculosisTuberculosis controlUS National InstitutesTuberculosis isolatesMore effective interventionsProximity of residenceRecent transmissionPatient's homeTuberculosisLocal transmission dynamicsEffective interventionsLocal transmissionLocal incidenceNational InstituteVNTR patternsWhole-genome sequencing
2014
Modeling of Novel Diagnostic Strategies for Active Tuberculosis – A Systematic Review: Current Practices and Recommendations
Zwerling A, White RG, Vassall A, Cohen T, Dowdy DW, Houben RM. Modeling of Novel Diagnostic Strategies for Active Tuberculosis – A Systematic Review: Current Practices and Recommendations. PLOS ONE 2014, 9: e110558. PMID: 25340701, PMCID: PMC4207742, DOI: 10.1371/journal.pone.0110558.Peer-Reviewed Original ResearchConceptsNucleic acid amplification testsIncremental cost-effectiveness ratioActive tuberculosisHealth system modelDiagnostic strategiesNovel diagnostic strategiesAlternative nucleic acid amplification testsXpert MTB/RIFMTB/RIFCost-effectiveness ratioMulti-way sensitivity analysesFalse-negative diagnosesPre-diagnostic periodCost-effectiveness modelCost-effectiveness estimatesDiagnostic delayDiagnostic pathwayAdditional epidemiological dataTB diagnosticsEpidemiological dataReference listsAmplification testsEpidemiological impactEligible papersEpidemiological settingsStrengthening the Reporting of Molecular Epidemiology for Infectious Diseases (STROME-ID): an extension of the STROBE statement
Field N, Cohen T, Struelens MJ, Palm D, Cookson B, Glynn JR, Gallo V, Ramsay M, Sonnenberg P, MacCannell D, Charlett A, Egger M, Green J, Vineis P, Abubakar I. Strengthening the Reporting of Molecular Epidemiology for Infectious Diseases (STROME-ID): an extension of the STROBE statement. The Lancet Infectious Diseases 2014, 14: 341-352. PMID: 24631223, DOI: 10.1016/s1473-3099(13)70324-4.Peer-Reviewed Original ResearchConceptsEpidemiological studiesInfectious diseasesMolecular epidemiologyControl of infectionMultiple-strain infectionsMolecular epidemiological studiesHealth policy decisionsObservational studySTROBE checklistEpidemiological dataEvidence reviewCommunicable diseasesInfectious disease researchSTROBE statementDiseaseInfectious disease data
2006
Exogenous re-infection and the dynamics of tuberculosis epidemics: local effects in a network model of transmission
Cohen T, Colijn C, Finklea B, Murray M. Exogenous re-infection and the dynamics of tuberculosis epidemics: local effects in a network model of transmission. Journal Of The Royal Society Interface 2006, 4: 523-531. PMID: 17251134, PMCID: PMC2373405, DOI: 10.1098/rsif.2006.0193.Peer-Reviewed Original ResearchConceptsTB control strategiesPublic health policy makersType of TBMolecular epidemiologic toolsHealth policy makersTB diseasePrimary diseasePrimary progressionTB incidenceRecent infectionTB transmissionTuberculosis diseaseInfectious disease transmissionTuberculosis epidemicRecent transmissionEpidemiological dataForce of infectionInfectious casesLatent infectionEpidemiologic toolInfectionMycobacterium tuberculosisSpecific populationsDiseaseEpidemic trajectories