2023
Predictive power of wastewater for nowcasting infectious disease transmission: A retrospective case study of five sewershed areas in Louisville, Kentucky
Klaassen F, Holm R, Smith T, Cohen T, Bhatnagar A, Menzies N. Predictive power of wastewater for nowcasting infectious disease transmission: A retrospective case study of five sewershed areas in Louisville, Kentucky. Environmental Research 2023, 240: 117395. PMID: 37838198, PMCID: PMC10863376, DOI: 10.1016/j.envres.2023.117395.Peer-Reviewed Original ResearchConceptsDeath dataSurveillance dataSARS-CoV-2 casesClinical surveillance dataLow-resource settingsRetrospective case studyInfectious disease transmissionTrue infectionEpidemiologic dataSerosurvey dataDeath reportsTraditional surveillance dataDisease trendsInfectious diseasesWastewater dataDisease transmissionPredictive performance
2021
Effectiveness of spatially targeted interventions for control of HIV, tuberculosis, leprosy and malaria: a systematic review
Khundi M, Carpenter JR, Nliwasa M, Cohen T, Corbett EL, MacPherson P. Effectiveness of spatially targeted interventions for control of HIV, tuberculosis, leprosy and malaria: a systematic review. BMJ Open 2021, 11: e044715. PMID: 34257091, PMCID: PMC8278879, DOI: 10.1136/bmjopen-2020-044715.Peer-Reviewed Original ResearchConceptsSystematic reviewCommunity public health interventionsGlobal elimination targetsCommunity-based screeningControl of HIVMass drug administrationPublic health interventionsData extraction toolIndoor residual sprayingEvidence of effectWeb of ScienceCochrane DatabaseElimination targetsCommunity screeningInclusion criteriaDrug AdministrationHIVComplex interventionsHealth interventionsInfectious diseasesTuberculosisIntensive interventionIntervention impactMalaria studiesResidual spraying
2020
Children as sentinels of tuberculosis transmission: disease mapping of programmatic data
Gunasekera KS, Zelner J, Becerra MC, Contreras C, Franke MF, Lecca L, Murray MB, Warren JL, Cohen T. Children as sentinels of tuberculosis transmission: disease mapping of programmatic data. BMC Medicine 2020, 18: 234. PMID: 32873309, PMCID: PMC7466499, DOI: 10.1186/s12916-020-01702-x.Peer-Reviewed Original ResearchConceptsNational Tuberculosis ProgrammeActive case-finding interventionsCase-finding interventionsTuberculosis transmissionNotification dataTuberculosis ProgrammeTuberculosis incidenceChild casesChildhood tuberculosis casesRecent transmission eventsProportion of casesCase notification dataMolecular epidemiological methodsMolecular epidemiologic methodsEndemic infectious diseasesTuberculosis casesProspective studyAdult casesDisease progressionNotification registerProgrammatic dataDistricts of LimaEpidemiological methodsInfectious diseasesTransmission hotspotsTransmission Modeling with Regression Adjustment for Analyzing Household-based Studies of Infectious Disease: Application to Tuberculosis.
Crawford FW, Marx FM, Zelner J, Cohen T. Transmission Modeling with Regression Adjustment for Analyzing Household-based Studies of Infectious Disease: Application to Tuberculosis. Epidemiology 2020, 31: 238-247. PMID: 31764276, PMCID: PMC7718772, DOI: 10.1097/ede.0000000000001143.Peer-Reviewed Original ResearchConceptsSusceptible household contactsHousehold contactsTB casesBacillus Calmette-Guérin (BCG) vaccinationInfected household contactsIsoniazid preventive therapyActive tuberculosis casesCulture-positive casesRisk of diseaseCohort studyMicrobiological confirmationPreventive therapyTuberculosis casesRisk factorsInfection resultsAdult contactsInfection riskInfectious diseasesLogistic regressionRate of transmissionTransmissible diseasesDiseaseIndividual-level characteristicsHigher hazardDisease susceptibility
2018
ADAPTIVE DECISION‐MAKING DURING EPIDEMICS
Yaesoubi R, Cohen T. ADAPTIVE DECISION‐MAKING DURING EPIDEMICS. 2018, 59-79. DOI: 10.1002/9781118960158.ch3.ChaptersIntegrated analytical frameworkPolicy makersEconomic costsTransmission-reducing interventionsAnalytical frameworkSubstantial healthPopulation healthNovel viral strainsDecisionsResource constraintsAvailability of resourcesEmploymentAvailable interventionsMakersInfluenza epidemicsDifficult decisionsViral strainsInfectious diseasesCostEpidemicInterventionDecision pointsEpidemic dataHealth
2017
A Multistrain Mathematical Model To Investigate the Role of Pyrazinamide in the Emergence of Extensively Drug-Resistant Tuberculosis
Fofana MO, Shrestha S, Knight GM, Cohen T, White RG, Cobelens F, Dowdy DW. A Multistrain Mathematical Model To Investigate the Role of Pyrazinamide in the Emergence of Extensively Drug-Resistant Tuberculosis. Antimicrobial Agents And Chemotherapy 2017, 61: 10.1128/aac.00498-16. PMID: 27956422, PMCID: PMC5328532, DOI: 10.1128/aac.00498-16.Peer-Reviewed Original ResearchMeSH KeywordsAntitubercular AgentsBayes TheoremBiological AvailabilityComputer SimulationDrug Administration ScheduleDrug Resistance, Multiple, BacterialExtensively Drug-Resistant TuberculosisFluoroquinolonesHumansMicrobial Sensitivity TestsModels, StatisticalMycobacterium tuberculosisPyrazinamideRifampinTuberculosis, PulmonaryConceptsCompanion drugsExtensively Drug-Resistant TuberculosisSecond-line treatmentFirst-line treatmentSecond-line regimensDrug-resistant tuberculosisUse of pyrazinamideExtensive drug resistanceDrug resistance dataEmergence of strainsEmergence of mutationsXDR-TBSequential regimensHIV infectionAlternative drugsResistance amplificationPyrazinamide resistanceProlonged treatmentCombination antimicrobialsDrug resistanceInfectious diseasesPrevalenceProportion of simulationsAppropriate useRegimens
2014
Strengthening 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
2011
Generalized Markov models of infectious disease spread: A novel framework for developing dynamic health policies
Yaesoubi R, Cohen T. Generalized Markov models of infectious disease spread: A novel framework for developing dynamic health policies. European Journal Of Operational Research 2011, 215: 679-687. PMID: 21966083, PMCID: PMC3182455, DOI: 10.1016/j.ejor.2011.07.016.Peer-Reviewed Original ResearchMathematical modelDynamic optimization techniquesGeneralized Markov modelClass of modelsState space sizeMarkov chain modelInfectious disease spreadOptimization techniquesDiscrete-time Markov chain modelComputation timeHost transmission dynamicsChain modelInfectious diseasesSpace sizeHost natural historyMarkov modelHealth policyPrevious modelsPublic health interventionsTransmission dynamicsClassModelReal-time selectionDisease spreadHealth interventions
2009
What is the mechanism for persistent coexistence of drug-susceptible and drug-resistant strains of Streptococcus pneumoniae?
Colijn C, Cohen T, Fraser C, Hanage W, Goldstein E, Givon-Lavi N, Dagan R, Lipsitch M. What is the mechanism for persistent coexistence of drug-susceptible and drug-resistant strains of Streptococcus pneumoniae? Journal Of The Royal Society Interface 2009, 7: 905-919. PMID: 19940002, PMCID: PMC2871802, DOI: 10.1098/rsif.2009.0400.Peer-Reviewed Original ResearchConceptsDrug-resistant strainsStreptococcus pneumoniaeInfectious diseasesDrug-susceptible strainsHigher reproduction numberCent prevalenceSubstantial prevalencePersistent coexistenceDrug resistanceMultiple infectionsAntimicrobial useResistant strainsBacterial spreadAntimicrobial resistancePrevalenceDiseasePneumoniaeOutcomesReproduction numberTreatmentHost interactionsPathogensCoinfectionUse of Cumulative Incidence of Novel Influenza A/H1N1 in Foreign Travelers to Estimate Lower Bounds on Cumulative Incidence in Mexico
Lipsitch M, Lajous M, O'Hagan JJ, Cohen T, Miller JC, Goldstein E, Danon L, Wallinga J, Riley S, Dowell SF, Reed C, McCarron M. Use of Cumulative Incidence of Novel Influenza A/H1N1 in Foreign Travelers to Estimate Lower Bounds on Cumulative Incidence in Mexico. PLOS ONE 2009, 4: e6895. PMID: 19742302, PMCID: PMC2731883, DOI: 10.1371/journal.pone.0006895.Peer-Reviewed Original ResearchConceptsInfluenza A/H1N1Influenza A/Cumulative incidenceNovel influenza A/Severity of illnessSeverity of diseaseSevere diseaseTotal numberSevere symptomsNumber of casesDisease severityCurrent epidemicInfectious diseasesCanadian travellersIncidenceDiseaseAffected individualsSeverityH1N1Mexican residentsObserved groupEpidemicNovel pathogensDisease spreadResidents
2008
Latent Coinfection and the Maintenance of Strain Diversity
Colijn C, Cohen T, Murray M. Latent Coinfection and the Maintenance of Strain Diversity. Bulletin Of Mathematical Biology 2008, 71: 247. PMID: 19082663, PMCID: PMC2652765, DOI: 10.1007/s11538-008-9361-y.Peer-Reviewed Original ResearchMathematical Modeling of Tuberculosis Transmission Dynamics
Cohen T, Colijn C, Murray M. Mathematical Modeling of Tuberculosis Transmission Dynamics. 2008, 227-243. DOI: 10.1002/9783527611614.ch44.Peer-Reviewed Original ResearchMathematical modelBehavior of epidemicsSimple mathematical modelEpidemic modelMathematical modelingTuberculosis transmission dynamicsTuberculosis dynamicsDynamic modelNatural courseTB epidemicDynamicsNatural historyInfectious diseasesTransmission dynamicsMycobacterium tuberculosisDiseaseModelQuantitative insightsKey parametersInterventionEpidemicImportant toolComplicating factorsPotential effectsModeling
2007
Emergent heterogeneity in declining tuberculosis epidemics
Colijn C, Cohen T, Murray M. Emergent heterogeneity in declining tuberculosis epidemics. Journal Of Theoretical Biology 2007, 247: 765-774. PMID: 17540410, PMCID: PMC2652758, DOI: 10.1016/j.jtbi.2007.04.015.Peer-Reviewed Original Research