2021
Evolution and emergence of multidrug-resistant Mycobacterium tuberculosis in Chisinau, Moldova
Brown TS, Eldholm V, Brynildsrud O, Osnes M, Levy N, Stimson J, Colijn C, Alexandru S, Noroc E, Ciobanu N, Crudu V, Cohen T, Mathema B. Evolution and emergence of multidrug-resistant Mycobacterium tuberculosis in Chisinau, Moldova. Microbial Genomics 2021, 7: 000620. PMID: 34431762, PMCID: PMC8549355, DOI: 10.1099/mgen.0.000620.Peer-Reviewed Original ResearchConceptsDrug-resistant TB casesMultidrug-resistant Mycobacterium tuberculosisDrug-resistant tuberculosisDrug resistance mutationsPopulation size expansionPublic health practiceSoviet UnionSocial turmoilTB patientsTB casesTB controlRepublic of MoldovaInpatient hospitalizationMigration historyInpatient treatmentEastern EuropeNational guidelinesEpidemiological historyResistance mutationsHealth practicesGenomic surveillance effortsCapital cityMycobacterium tuberculosisTuberculosisMoldovaReporting practices for genomic epidemiology of tuberculosis: a systematic review of the literature using STROME-ID guidelines as a benchmark
Cheng B, Behr MA, Howden BP, Cohen T, Lee RS. Reporting practices for genomic epidemiology of tuberculosis: a systematic review of the literature using STROME-ID guidelines as a benchmark. The Lancet Microbe 2021, 2: e115-e129. PMID: 33842904, PMCID: PMC8034592, DOI: 10.1016/s2666-5247(20)30201-9.Peer-Reviewed Original ResearchMeSH KeywordsBenchmarkingCommunicable DiseasesGenomicsHumansMolecular EpidemiologyReproducibility of ResultsTuberculosisConceptsGenomic epidemiology studiesStudy qualityProportion of criteriaEpidemiology studiesSystematic reviewInfectious Diseases guidelinesMean proportionNon-human studiesQuasi-Poisson regressionDisease guidelinesEmbase ClassicInfectious disease epidemiologyConference abstractsPrimary searchStudy characteristicsTuberculosisMolecular epidemiologyInitial searchSenior authorSearch termsTyping of strainsSample sizeEpidemiologyGenomic epidemiologyFull text
2018
Towards better prediction of Mycobacterium tuberculosis lineages from MIRU-VNTR data
Thain N, Le C, Crossa A, Ahuja SD, Meissner JS, Mathema B, Kreiswirth B, Kurepina N, Cohen T, Chindelevitch L. Towards better prediction of Mycobacterium tuberculosis lineages from MIRU-VNTR data. Infection Genetics And Evolution 2018, 72: 59-66. PMID: 29960078, PMCID: PMC6708508, DOI: 10.1016/j.meegid.2018.06.029.Peer-Reviewed Original ResearchInternal 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
2017
Drivers of Tuberculosis Transmission
Mathema B, Andrews JR, Cohen T, Borgdorff MW, Behr M, Glynn JR, Rustomjee R, Silk BJ, Wood R. Drivers of Tuberculosis Transmission. The Journal Of Infectious Diseases 2017, 216: s644-s653. PMID: 29112745, PMCID: PMC5853844, DOI: 10.1093/infdis/jix354.Peer-Reviewed Original ResearchMeSH KeywordsDisease Transmission, InfectiousEnvironmental ExposureHumansMolecular EpidemiologyMycobacterium tuberculosisRisk FactorsTuberculosisConceptsRecent transmissionTuberculosis transmissionTuberculosis casesCulture-positive tuberculosis casesInterferon-γ release assaysΓ release assaysTuberculin skin testMycobacterium tuberculosis infectionTuberculosis case notificationTransmission of tuberculosisPublic health systemPrevalent tuberculosisTuberculosis infectionSkin testIncident diseaseCase notificationClinical diseaseHealth systemCapacity of healthcareOngoing transmissionTuberculosisYoung childrenHighlight knowledge gapsInfection eventsWhole-genome sequencing
2015
Identifying Hotspots of Multidrug-Resistant Tuberculosis Transmission Using Spatial and Molecular Genetic Data
Zelner JL, Murray MB, Becerra MC, Galea J, Lecca L, Calderon R, Yataco R, Contreras C, Zhang Z, Manjourides J, Grenfell BT, Cohen T. Identifying Hotspots of Multidrug-Resistant Tuberculosis Transmission Using Spatial and Molecular Genetic Data. The Journal Of Infectious Diseases 2015, 213: 287-294. PMID: 26175455, PMCID: PMC4690150, DOI: 10.1093/infdis/jiv387.Peer-Reviewed Original ResearchMeSH KeywordsAntitubercular AgentsCohort StudiesGenotypeHumansIncidenceMolecular EpidemiologyMycobacterium tuberculosisPeruProspective StudiesTuberculosis, Multidrug-ResistantConceptsMDR tuberculosisDrug susceptibilityTuberculosis casesMultidrug-resistant tuberculosis (MDR-TB) transmissionCulture-confirmed diseaseHealth Center areaProspective cohort studyCapita incidenceHousehold contactsCohort studyTuberculosis riskTuberculosis transmissionSymptomatic individualsHigh riskPositive culturesNumber tandem repeatRiskEtiologyFitness Costs of Drug Resistance Mutations in Multidrug-Resistant Mycobacterium tuberculosis: A Household-Based Case-Control Study
Salvatore PP, Becerra MC, Wiesch P, Hinkley T, Kaur D, Sloutsky A, Cohen T. Fitness Costs of Drug Resistance Mutations in Multidrug-Resistant Mycobacterium tuberculosis: A Household-Based Case-Control Study. The Journal Of Infectious Diseases 2015, 213: 149-155. PMID: 26092854, PMCID: PMC4676541, DOI: 10.1093/infdis/jiv347.Peer-Reviewed Original ResearchConceptsDrug resistance mutationsCase-control studyKatG Ser315Thr mutationMDR strainsMultiple case householdsResistance mutationsDrug resistance-associated mutationsMycobacterium tuberculosisMultidrug-resistant Mycobacterium tuberculosisSecondary household casesSer315Thr mutationMDR M. tuberculosisMultidrug-resistant tuberculosisMDR Mycobacterium tuberculosisResistance-associated polymorphismsLong-term prevalenceResistance-associated mutationsVivo fitness costsCase-control designEpidemiologic studiesHousehold casesTuberculosisExperimental modelM. tuberculosisMutations
2014
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
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 groupsStrengthening 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 ResearchMeSH KeywordsChecklistCommunicable DiseasesEpidemiologic Research DesignHumansMolecular EpidemiologyResearch DesignConceptsEpidemiological studiesInfectious diseasesMolecular epidemiologyControl of infectionMultiple-strain infectionsMolecular epidemiological studiesHealth policy decisionsObservational studySTROBE checklistEpidemiological dataEvidence reviewCommunicable diseasesInfectious disease researchSTROBE statementDiseaseInfectious disease data
2003
The effect of drug resistance on the fitness of Mycobacterium tuberculosis
Cohen T, Sommers B, Murray M. The effect of drug resistance on the fitness of Mycobacterium tuberculosis. The Lancet Infectious Diseases 2003, 3: 13-21. PMID: 12505028, DOI: 10.1016/s1473-3099(03)00483-3.Peer-Reviewed Original ResearchMeSH KeywordsAntitubercular AgentsCluster AnalysisDrug Resistance, Multiple, BacterialHumansMolecular EpidemiologyMycobacterium tuberculosisPrevalenceTuberculosis