2017
A Likelihood Approach for Real-Time Calibration of Stochastic Compartmental Epidemic Models
Zimmer C, Yaesoubi R, Cohen T. A Likelihood Approach for Real-Time Calibration of Stochastic Compartmental Epidemic Models. PLOS Computational Biology 2017, 13: e1005257. PMID: 28095403, PMCID: PMC5240920, DOI: 10.1371/journal.pcbi.1005257.Peer-Reviewed Original ResearchConceptsParameter estimationStochastic modelLinear noise approximationStochastic transmission-dynamic modelEnsemble Kalman filter methodReal-time parameter estimationKey epidemic parametersParticle filtering methodInfectious individualsStochastic systemsCompartmental epidemic modelLikelihood approximationMultiple shootingNoise approximationBenchmark methodsEpidemic modelPoisson observationsKalman filter methodUnobserved numberAccurate estimatesEpidemic parametersLikelihood approachFiltering methodDynamic modelApproximation
2013
Identifying dynamic tuberculosis case-finding policies for HIV/TB coepidemics
Yaesoubi R, Cohen T. Identifying dynamic tuberculosis case-finding policies for HIV/TB coepidemics. Proceedings Of The National Academy Of Sciences Of The United States Of America 2013, 110: 9457-9462. PMID: 23690585, PMCID: PMC3677479, DOI: 10.1073/pnas.1218770110.Peer-Reviewed Original ResearchConceptsUndiagnosed casesHigh-burden settingsSmear-negative casesTB control programsDuration of roundsBurden settingsTB suspectsTB transmissionAggressive approachOnward transmissionIncremental yieldPopulation healthIncremental benefitInfectious individualsDiagnostic toolControl programsICFPassive caseSymptomsCasesSettingDiagnosis