2021
Reducing the Prevalence of Alcohol-Exposed Pregnancies in the United States: A Simulation Modeling Study
Yaesoubi R, Mahin M, Martin G, Paltiel AD, Sharifi M. Reducing the Prevalence of Alcohol-Exposed Pregnancies in the United States: A Simulation Modeling Study. Medical Decision Making 2021, 42: 217-227. PMID: 34166146, PMCID: PMC8702569, DOI: 10.1177/0272989x211023203.Peer-Reviewed Original ResearchMeSH KeywordsContraceptionFemaleHealth BehaviorHumansPregnancyPrevalenceSexual BehaviorUnited StatesConceptsAlcohol-exposed pregnancyUnintended pregnancyPublic health effortsAlcohol abstinenceHealth effortsDifferent public health strategiesPublic health strategiesPrevalence of alcoholFamily Growth dataAwareness of pregnancyReproductive ageEffective contraceptionLive birthsContraceptive useUS womenHealth strategiesPregnancyWoman's riskPrevalenceDrinking patternsSexual activityWomenAbstinenceAlcoholic drinksNational survey
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
Tuberculosis 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
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