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 patternsThe positive externalities of migrant-based TB control strategy in a Chinese urban population with internal migration: a transmission-dynamic modeling study
Yang C, Kang J, Lu L, Guo X, Shen X, Cohen T, Menzies NA. The positive externalities of migrant-based TB control strategy in a Chinese urban population with internal migration: a transmission-dynamic modeling study. BMC Medicine 2021, 19: 95. PMID: 33874940, PMCID: PMC8055441, DOI: 10.1186/s12916-021-01968-9.Peer-Reviewed Original ResearchConceptsTB casesTB incidenceNew TB casesTB control strategiesEpidemiology of tuberculosisMeaningful health benefitsChinese urban populationMolecular epidemiologic studiesTransmission dynamic modelSongjiang DistrictRecent infectionTB interventionsTB transmissionTB notificationsEpidemiological featuresPreventive treatmentActive screeningEpidemiologic studiesLatent infectionTB policyDemographic dataIndirect protectionTuberculosisEpidemiological driversLocal transmission
2018
Accurate quantification of uncertainty in epidemic parameter estimates and predictions using stochastic compartmental models
Zimmer C, Leuba SI, Cohen T, Yaesoubi R. Accurate quantification of uncertainty in epidemic parameter estimates and predictions using stochastic compartmental models. Statistical Methods In Medical Research 2018, 28: 3591-3608. PMID: 30428780, PMCID: PMC6517086, DOI: 10.1177/0962280218805780.Peer-Reviewed Original ResearchConceptsFilter degeneracyParameter estimatesPosterior distributionStochastic transmission-dynamic modelParameter posterior distributionsEpidemic compartmental modelKey epidemic parametersStochastic compartmental modelStochastic systemsPrediction intervalsCompartmental modelMultiple shootingArt calibration methodsEpidemic parametersDegeneracyDynamic modelInfluenza modelMSS approachLong-term predictionTransmission dynamic modelSimulation experimentsCalibration methodUncertaintyEstimatesCompetitive performanceInternal 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
2016
Use of Lot Quality Assurance Sampling to Ascertain Levels of Drug Resistant Tuberculosis in Western Kenya
Jezmir J, Cohen T, Zignol M, Nyakan E, Hedt-Gauthier BL, Gardner A, Kamle L, Injera W, Carter EJ. Use of Lot Quality Assurance Sampling to Ascertain Levels of Drug Resistant Tuberculosis in Western Kenya. PLOS ONE 2016, 11: e0154142. PMID: 27167381, PMCID: PMC4864281, DOI: 10.1371/journal.pone.0154142.Peer-Reviewed Original ResearchConceptsMDR-TBDrug resistanceResistant tuberculosisLot Quality Assurance Sampling methodologyMulti-drug resistant tuberculosisPositive TB patientsDrug resistance surveillanceDrug-resistant tuberculosisTB drug resistanceRural settingsPoly-resistant strainsTB patientsWestern KenyaLot Quality AssuranceLow prevalencePatientsResistance surveillancePrevalenceTuberculosisLQASSettingLow levelsDifferent geographic settingsUrban settingsLevels
2012
Controversies and Unresolved Issues in Tuberculosis Prevention and Control: A Low-Burden-Country Perspective
Abubakar I, Stagg HR, Cohen T, Mangtani P, Rodrigues LC, Pimpin L, Watson JM, Squire SB, Zumla A. Controversies and Unresolved Issues in Tuberculosis Prevention and Control: A Low-Burden-Country Perspective. The Journal Of Infectious Diseases 2012, 205: s293-s300. PMID: 22448025, DOI: 10.1093/infdis/jir886.Peer-Reviewed Original ResearchConceptsHigh-risk groupTuberculosis preventionHigh-income countriesScreening of migrantsContacts of casesLow-burden countriesMultidrug-resistant tuberculosisRate of tuberculosisBurden of diseaseDuration of protectionMost high-income countriesConcentration of casesPreventive therapyBCG vaccineCurrent evidenceGeneral populationLow burdenSurveillance dataTuberculosisReach groupsHomeless personsPace of reductionPreventionBurdenGroup