2023
Changes in Population Immunity Against Infection and Severe Disease From Severe Acute Respiratory Syndrome Coronavirus 2 Omicron Variants in the United States Between December 2021 and November 2022
Klaassen F, Chitwood M, Cohen T, Pitzer V, Russi M, Swartwood N, Salomon J, Menzies N. Changes in Population Immunity Against Infection and Severe Disease From Severe Acute Respiratory Syndrome Coronavirus 2 Omicron Variants in the United States Between December 2021 and November 2022. Clinical Infectious Diseases 2023, 77: 355-361. PMID: 37074868, PMCID: PMC10425195, DOI: 10.1093/cid/ciad210.Peer-Reviewed Original ResearchConceptsSevere diseasePopulation immunityOmicron infectionOmicron variantUS populationSevere acute respiratory syndrome coronavirus 2Acute respiratory syndrome coronavirus 2SARS-CoV-2 infectionRespiratory syndrome coronavirus 2SARS-CoV-2 Omicron variantRestoration of immunitySyndrome coronavirus 2Bayesian evidence synthesis modelInfection-acquired immunityEvidence synthesis modelSARS-CoV-2Prior immunological exposureCoronavirus 2Additional infectionsImmunological exposureInfectionDiseaseImmunityVaccinationUnited States
2022
Reconstructing the course of the COVID-19 epidemic over 2020 for US states and counties: Results of a Bayesian evidence synthesis model
Chitwood MH, Russi M, Gunasekera K, Havumaki J, Klaassen F, Pitzer VE, Salomon JA, Swartwood NA, Warren JL, Weinberger DM, Cohen T, Menzies NA. Reconstructing the course of the COVID-19 epidemic over 2020 for US states and counties: Results of a Bayesian evidence synthesis model. PLOS Computational Biology 2022, 18: e1010465. PMID: 36040963, PMCID: PMC9467347, DOI: 10.1371/journal.pcbi.1010465.Peer-Reviewed Original ResearchConceptsSARS-CoV-2 infectionCOVID-19 casesIncident SARS-CoV-2 infectionCOVID-19 disease burdenSymptomatic COVID-19 casesLocal epidemiological trendsSARS-CoV-2 transmissionBayesian evidence synthesis modelCOVID-19 outcomesEvidence synthesis modelMagnitude of infectionCOVID-19 deathsCumulative incidenceDisease burdenExcess mortalityCase ascertainmentEpidemiological trendsSeroprevalence estimatesUnderlying incidenceUS populationDisease trendsViral transmission dynamicsInfectionEpidemiological driversCOVID-19 epidemicPopulation Immunity to Pre-Omicron and Omicron Severe Acute Respiratory Syndrome Coronavirus 2 Variants in US States and Counties Through 1 December 2021
Klaassen F, Chitwood MH, Cohen T, Pitzer VE, Russi M, Swartwood NA, Salomon JA, Menzies NA. Population Immunity to Pre-Omicron and Omicron Severe Acute Respiratory Syndrome Coronavirus 2 Variants in US States and Counties Through 1 December 2021. Clinical Infectious Diseases 2022, 76: e350-e359. PMID: 35717642, PMCID: PMC9214178, DOI: 10.1093/cid/ciac438.Peer-Reviewed Original ResearchConceptsSARS-CoV-2 infectionSARS-CoV-2Immunological exposureOmicron variantSevere diseaseAcute respiratory syndrome coronavirus 2 infectionSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infectionFuture SARS-CoV-2 infectionSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variantsUS populationSyndrome coronavirus 2 infectionCoronavirus disease 2019 (COVID-19) vaccinationCoronavirus 2 infectionPopulation-level immunityPrior immunological exposurePopulation immunityImmune escapeVaccination dataInfectionInfection statusVaccinationUS statesEffective protectionDiseaseImmunity
2018
The impact of migration on tuberculosis in the United States
Menzies NA, Hill AN, Cohen T, Salomon JA. The impact of migration on tuberculosis in the United States. The International Journal Of Tuberculosis And Lung Disease 2018, 22: 1392-1403. PMID: 30606311, PMCID: PMC6353558, DOI: 10.5588/ijtld.17.0185.Peer-Reviewed Original ResearchConceptsTB casesTB burdenHigher tuberculosis ratesNew TB casesLow-incidence settingsEntry yearActive TBTB epidemiologyTB riskIncidence estimatesTuberculosis ratesLifetime casesUnited StatesRiskPopulation residentGreater exposureBurdenNative-born populationPopulationCountry of originTBYearsTuberculosisCasesInfectionProgression from latent infection to active disease in dynamic tuberculosis transmission models: a systematic review of the validity of modelling assumptions
Menzies NA, Wolf E, Connors D, Bellerose M, Sbarra AN, Cohen T, Hill AN, Yaesoubi R, Galer K, White PJ, Abubakar I, Salomon JA. Progression from latent infection to active disease in dynamic tuberculosis transmission models: a systematic review of the validity of modelling assumptions. The Lancet Infectious Diseases 2018, 18: e228-e238. PMID: 29653698, PMCID: PMC6070419, DOI: 10.1016/s1473-3099(18)30134-8.Peer-Reviewed Original ResearchConceptsTuberculosis transmission modelActive diseaseCumulative incidenceRisk factorsSystematic reviewNatural historyFeatures of epidemiologyDisease natural historyIndividual risk factorsTuberculosis natural historyEarliest available dateWeb of ScienceAnnual incidenceCochrane LibraryTuberculosis incidenceInclusion criteriaFuture tuberculosisLatent infectionInitial infectionIncidenceSubstantial proportionPopulation groupsAvailable dateInfectionDisease
2017
Polyclonal Pulmonary Tuberculosis Infections and Risk for Multidrug Resistance, Lima, Peru - Volume 23, Number 11—November 2017 - Emerging Infectious Diseases journal - CDC
Nathavitharana RR, Shi CX, Chindelevitch L, Calderon R, Zhang Z, Galea JT, Contreras C, Yataco R, Lecca L, Becerra MC, Murray MB, Cohen T. Polyclonal Pulmonary Tuberculosis Infections and Risk for Multidrug Resistance, Lima, Peru - Volume 23, Number 11—November 2017 - Emerging Infectious Diseases journal - CDC. Emerging Infectious Diseases 2017, 23: 1887-1890. PMID: 29048297, PMCID: PMC5652442, DOI: 10.3201/eid2311.170077.Peer-Reviewed Original ResearchConceptsTreatment of tuberculosisHost Mycobacterium tuberculosis diversityMultidrug-resistant TBInfectious Diseases journal - CDCPulmonary TB patientsPulmonary tuberculosis infectionTB patientsTuberculosis infectionPolyclonal infectionsSimple infectionMultidrug resistanceInfectionPatientsTuberculosisPrevalenceDiagnosisAntimicrobial Resistance Risks of Cholera Prophylaxis for United Nations Peacekeepers
Kunkel A, Lewnard JA, Pitzer VE, Cohen T. Antimicrobial Resistance Risks of Cholera Prophylaxis for United Nations Peacekeepers. Antimicrobial Agents And Chemotherapy 2017, 61: 10.1128/aac.00026-17. PMID: 28533237, PMCID: PMC5527623, DOI: 10.1128/aac.00026-17.Peer-Reviewed Original ResearchConceptsDrug-resistant infectionsAntimicrobial chemoprophylaxisDrug-sensitive infectionsDrug resistance generationCholera importationChemoprophylaxisDrug resistanceImportation eventsInfectionAntibiotic resistanceAntimicrobial resistance risksRiskRelative benefitsResistance generationCholeraPotential resistance risksPotential benefitsResistance riskProphylaxisPrevalenceUsing Chemical Reaction Kinetics to Predict Optimal Antibiotic Treatment Strategies
Wiesch P, Clarelli F, Cohen T. Using Chemical Reaction Kinetics to Predict Optimal Antibiotic Treatment Strategies. PLOS Computational Biology 2017, 13: e1005321. PMID: 28060813, PMCID: PMC5257006, DOI: 10.1371/journal.pcbi.1005321.Peer-Reviewed Original ResearchConceptsOptimal dosingTreatment strategiesOnset of actionAntibiotic treatment strategiesAntibiotic concentrationsOptimal therapyFrequent dosingHigh dosesBacterial infectionsDrug concentrationsDosingBacterial replicationAntibioticsPhysiological fluctuationsAntibiotic effectCellsHIVBacterial growthTherapyCancerInfectionMalariaDoses
2016
Within-Host Heterogeneity of Mycobacterium tuberculosis Infection Is Associated With Poor Early Treatment Response: A Prospective Cohort Study
Cohen T, Chindelevitch L, Misra R, Kempner ME, Galea J, Moodley P, Wilson D. Within-Host Heterogeneity of Mycobacterium tuberculosis Infection Is Associated With Poor Early Treatment Response: A Prospective Cohort Study. The Journal Of Infectious Diseases 2016, 213: 1796-1799. PMID: 26768249, PMCID: PMC4857469, DOI: 10.1093/infdis/jiw014.Peer-Reviewed Original ResearchConceptsMonths of treatmentMycobacterium tuberculosis infectionTuberculosis infectionTreatment responsePoor early treatment responseProspective cohort studyInitiation of treatmentM. tuberculosis infectionRepetitive units-variable numberEarly treatment responsePersistent culture positivityCohort studyClinical managementCulture positivityHigher oddsInfectionTuberculosisPrevalenceTreatmentMonthsResponsePatientsKwaZulu-NatalHost heterogeneityPositivity
2015
HIV burden in men who have sex with men: a prospective cohort study 2007–2012
Jia Z, Huang X, Wu H, Zhang T, Li N, Ding P, Sun Y, Liu Z, Wei F, Zhang H, Jiao Y, Ji Y, Zhang Y, Guo C, Li W, Mou D, Xia W, Li Z, Chen D, Yan H, Chen X, Zhao J, Meyers K, Cohen T, Mayer K, Salomon JA, Lu Z, Dye C. HIV burden in men who have sex with men: a prospective cohort study 2007–2012. Scientific Reports 2015, 5: 11205. PMID: 26135810, PMCID: PMC5393284, DOI: 10.1038/srep11205.Peer-Reviewed Original ResearchConceptsHIV infectionHIV-negative MSMProspective cohort studyHIV incidence ratesIntensive preventive interventionIncident HIVCohort studyHIV burdenHIV incidenceIncident casesRisk factorsIncidence rateEarly treatmentPrevalent casesChinese MSMHIVPreventive interventionsInfectionMSMFollowPerfect complianceMenEnrollmentSyphilisCohortOrigin and Proliferation of Multiple-Drug Resistance in Bacterial Pathogens
Chang HH, Cohen T, Grad YH, Hanage WP, O'Brien TF, Lipsitch M. Origin and Proliferation of Multiple-Drug Resistance in Bacterial Pathogens. Microbiology And Molecular Biology Reviews 2015, 79: 101-116. PMID: 25652543, PMCID: PMC4402963, DOI: 10.1128/mmbr.00039-14.Peer-Reviewed Original ResearchConceptsMDR infectionsPublic health threatMultiple drug resistanceHigh prevalenceMore effective interventionsDifferent underlying mechanismsMultidrug resistanceEffective interventionsHealth threatUnderlying mechanismInfectionBacterial pathogensMDRCommon mechanismDifferent pathogensProliferationPathogensPrevalenceHypothetical mechanism
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 ResearchConceptsMixed infectionsM. tuberculosis infectionIncidence of TBOutcome of treatmentPopulation-level interventionsFraction of casesTuberculosis infectionMinority strainsActual prevalenceInfected individualsInfectionStudy designMycobacterium tuberculosisPrevalenceSputumTuberculosisDistinct strainsDifferent strainsSources of biasPrevious studiesPatientsSpecific reasonsIncidenceIndividuals
2013
The Effect of HIV-Related Immunosuppression on the Risk of Tuberculosis Transmission to Household Contacts
Huang CC, Tchetgen ET, Becerra MC, Cohen T, Hughes KC, Zhang Z, Calderon R, Yataco R, Contreras C, Galea J, Lecca L, Murray M. The Effect of HIV-Related Immunosuppression on the Risk of Tuberculosis Transmission to Household Contacts. Clinical Infectious Diseases 2013, 58: 765-774. PMID: 24368620, PMCID: PMC3935504, DOI: 10.1093/cid/cit948.Peer-Reviewed Original ResearchConceptsHuman immunodeficiency virusHousehold contactsIndex patientsCD4 countTuberculosis patientsTuberculosis transmissionHIV-negative tuberculosis patientsHIV-negative patientsHIV-positive patientsDrug-sensitive tuberculosisTuberculin skin testingTuberculosis infection statusRisk of infectionCoinfected PatientsActive tuberculosisTuberculosis infectionHIV statusSkin testingImmunodeficiency virusRisk factorsRelative riskPatientsTuberculosisInfection statusInfectionIsoniazid-resistant Tuberculosis in Children
Yuen CM, Tolman AW, Cohen T, Parr JB, Keshavjee S, Becerra MC. Isoniazid-resistant Tuberculosis in Children. The Pediatric Infectious Disease Journal 2013, 32: e217-e226. PMID: 23348808, PMCID: PMC3709006, DOI: 10.1097/inf.0b013e3182865409.Peer-Reviewed Original ResearchConceptsIsoniazid-resistant tuberculosisLatent tuberculosis infectionTuberculosis diseaseTuberculosis infectionIsoniazid resistancePediatric tuberculosis patientsTreatment of childrenIsoniazid-resistant strainsReports of childrenEffective regimensTuberculosis patientsTuberculosis treatmentAppropriate treatmentInclusion criteriaMedian proportionSystematic reviewRifampin resistanceDiseaseTuberculosisRegimensChildrenTreatmentInfectionIsoniazidHigher proportion
2012
Mixed-Strain Mycobacterium tuberculosis Infections and the Implications for Tuberculosis Treatment and Control
Cohen T, van Helden PD, Wilson D, Colijn C, McLaughlin MM, Abubakar I, Warren RM. Mixed-Strain Mycobacterium tuberculosis Infections and the Implications for Tuberculosis Treatment and Control. Clinical Microbiology Reviews 2012, 25: 708-719. PMID: 23034327, PMCID: PMC3485752, DOI: 10.1128/cmr.00021-12.Peer-Reviewed Original ResearchConceptsMixed infectionsTuberculosis infectionM. tuberculosis infectionTuberculosis control strategiesMycobacterium tuberculosis infectionTreatment of patientsMultiple distinct strainsTuberculosis treatmentInfectionMycobacterium tuberculosisEpidemiological importanceDistinct strainsTreatmentNumerous studiesPatientsTuberculosisDiagnosisHighlight challengesIndividuals
2011
Dynamic Health Policies for Controlling the Spread of Emerging Infections: Influenza as an Example
Yaesoubi R, Cohen T. Dynamic Health Policies for Controlling the Spread of Emerging Infections: Influenza as an Example. PLOS ONE 2011, 6: e24043. PMID: 21915279, PMCID: PMC3167826, DOI: 10.1371/journal.pone.0024043.Peer-Reviewed Original ResearchConceptsHealth policyTransmission-reducing interventionsOverall population healthType of interventionAntiviral drugsNovel infectious pathogensOverall healthEmerging InfectionsInfectious pathogensMask useCurrent interventionsCourse of epidemicsPopulation healthInterventionEpidemicPublic healthVaccineInfluenzaHealthDisease spreadSocial distancingCurrent informationInfectionModels to understand the population-level impact of mixed strain M. tuberculosis infections
Sergeev R, Colijn C, Cohen T. Models to understand the population-level impact of mixed strain M. tuberculosis infections. Journal Of Theoretical Biology 2011, 280: 88-100. PMID: 21514304, PMCID: PMC3111980, DOI: 10.1016/j.jtbi.2011.04.011.Peer-Reviewed Original ResearchConceptsDrug-resistant strainsMixed strain infectionsStrain infectionDrug-sensitive tuberculosisDrug-resistant tuberculosisM. tuberculosis infectionLower basic reproductive numberDrug-resistant infectionsTuberculosis patientsTuberculosis infectionTreatment successDrug-resistant bacteriaFuture burdenLong-term effectsStrain-specific differencesDrug resistanceInfectionPopulation-level impactTuberculosisM. tuberculosisMixed infectionsMycobacterium tuberculosisBasic reproductive numberCo-infected hostsSmall subpopulation
2010
Mixed-Strain Mycobacterium tuberculosis Infections among Patients Dying in a Hospital in KwaZulu-Natal, South Africa
Cohen T, Wilson D, Wallengren K, Samuel EY, Murray M. Mixed-Strain Mycobacterium tuberculosis Infections among Patients Dying in a Hospital in KwaZulu-Natal, South Africa. Journal Of Clinical Microbiology 2010, 49: 385-388. PMID: 20980576, PMCID: PMC3020455, DOI: 10.1128/jcm.01378-10.Peer-Reviewed Original Research
2008
Modeling the effects of strain diversity and mechanisms of strain competition on the potential performance of new tuberculosis vaccines
Cohen T, Colijn C, Murray M. Modeling the effects of strain diversity and mechanisms of strain competition on the potential performance of new tuberculosis vaccines. Proceedings Of The National Academy Of Sciences Of The United States Of America 2008, 105: 16302-16307. PMID: 18849476, PMCID: PMC2570977, DOI: 10.1073/pnas.0808746105.Peer-Reviewed Original ResearchConceptsNew tuberculosis vaccinesTuberculosis vaccineBacillus Calmette-Guérin (BCG) vaccinationCurrent vaccine candidatesM. tuberculosis strainsPerformance of vaccinesTuberculosis infectionTuberculosis controlStrain diversityMass vaccinationVaccine candidatesNew vaccinesTuberculosis strainsStrain replacementVaccineM. tuberculosisMycobacterium tuberculosisTransmission of diseaseVaccinationTuberculosisInfectionDiseaseStrain specificityPotential effectsMorbidityToo Little of a Good Thing
Cohen T, Lipsitch M. Too Little of a Good Thing. Epidemiology 2008, 19: 588-589. PMID: 18552592, PMCID: PMC2652751, DOI: 10.1097/ede.0b013e31817734ba.Peer-Reviewed Original Research