2022
Evaluating spatially adaptive guidelines for the treatment of gonorrhea to reduce the incidence of gonococcal infection and increase the effective lifespan of antibiotics
Yaesoubi R, Cohen T, Hsu K, Gift TL, St. Cyr SB, Salomon JA, Grad YH. Evaluating spatially adaptive guidelines for the treatment of gonorrhea to reduce the incidence of gonococcal infection and increase the effective lifespan of antibiotics. PLOS Computational Biology 2022, 18: e1009842. PMID: 35139073, PMCID: PMC8863219, DOI: 10.1371/journal.pcbi.1009842.Peer-Reviewed Original ResearchConceptsIncidence of gonorrhoeaTreatment guidelinesResistance prevalenceGonorrhea casesTreatment of gonorrheaNational surveillance systemPrevalence of resistanceTransmission dynamic modelGonococcal infectionGonorrhea treatmentMSM populationAntibiotic susceptibilityGonorrheaStandardized guidelinesSurveillance dataPrevalenceIncidenceAntibioticsPotential strategySurveillance systemAbsence of pointsGuidelinesCurrent strategiesEffective lifespanMen
2019
Predicting the Impact of Typhoid Conjugate Vaccines on Antimicrobial Resistance
Kaufhold S, Yaesoubi R, Pitzer VE. Predicting the Impact of Typhoid Conjugate Vaccines on Antimicrobial Resistance. Clinical Infectious Diseases 2019, 68: s96-s104. PMID: 30845324, PMCID: PMC6405272, DOI: 10.1093/cid/ciy1108.Peer-Reviewed Original ResearchConceptsChronic carriersAntimicrobial-resistant infectionsProportion of casesTyphoid-endemic settingsTyphoid infectionVaccination coverageResistant infectionsFuture vaccination campaignsOne-way sensitivity analysesTyphoid Conjugate VaccineTransmission dynamic modelSalmonella enterica serovar TyphiEmpiric prescribingConjugate vaccineEnterica serovar TyphiIntroduction of typhoidTreatment strategiesVaccination campaignTotal casesHealth outcomesNumber of casesRate of recoveryInfectionResistant strainsTotal number
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 performanceProspects for Tuberculosis Elimination in the United States: Results of a Transmission Dynamic Model
Menzies NA, Cohen T, Hill AN, Yaesoubi R, Galer K, Wolf E, Marks SM, Salomon JA. Prospects for Tuberculosis Elimination in the United States: Results of a Transmission Dynamic Model. American Journal Of Epidemiology 2018, 187: 2011-2020. PMID: 29762657, PMCID: PMC6119121, DOI: 10.1093/aje/kwy094.Peer-Reviewed Original ResearchConceptsTB preventionTB eliminationLatent TB infection (LTBI) screeningTB case detectionHigh-risk populationImportant health benefitsTransmission dynamic modelIncident TBActive TBTuberculosis eliminationInfection testingTB controlTB incidenceEpidemiologic evidenceTB transmissionInfection screeningCase detectionTuberculosis trendsUS populationRisk determinantsHealth benefitsTreatment qualityUnited StatesTreatment activitiesTreatmentTuberculosis control interventions targeted to previously treated people in a high-incidence setting: a modelling study
Marx FM, Yaesoubi R, Menzies NA, Salomon JA, Bilinski A, Beyers N, Cohen T. Tuberculosis control interventions targeted to previously treated people in a high-incidence setting: a modelling study. The Lancet Global Health 2018, 6: e426-e435. PMID: 29472018, PMCID: PMC5849574, DOI: 10.1016/s2214-109x(18)30022-6.Peer-Reviewed Original ResearchConceptsHigh-incidence settingsIsoniazid preventive therapyPreventive therapyTuberculosis treatmentActive casesHIV prevalenceTuberculosis controlControl interventionsIncident tuberculosis casesPrevious tuberculosis treatmentTuberculosis control interventionsTB case notificationHigh-risk groupTransmission dynamic modelTuberculosis deathsHigh tuberculosisRecurrent diseasePrevalent tuberculosisTuberculosis casesTuberculosis incidenceCase notificationTreatment outcomesTuberculosis morbidityTuberculosis epidemicAdditional interventions