2022
HIGH-RESOLUTION CHARACTERIZATION OF NOSOCOMIAL MYCOBACTERIUM TUBERCULOSIS TRANSMISSION EVENTS IN BOTSWANA
Smith J, Modongo C, Oeltmann J, Dima M, Matsiri O, Fane O, Molefi T, Shin S, Barilar I, Niemann S, Zetola N, Moonan P. HIGH-RESOLUTION CHARACTERIZATION OF NOSOCOMIAL MYCOBACTERIUM TUBERCULOSIS TRANSMISSION EVENTS IN BOTSWANA. American Journal Of Epidemiology 2022, 192: 503-506. PMID: 36549903, PMCID: PMC10372855, DOI: 10.1093/aje/kwac214.Peer-Reviewed Original ResearchMeSH KeywordsBotswanaCross InfectionHumansMolecular EpidemiologyMycobacterium tuberculosisTuberculosis, PulmonaryConceptsTransmission eventsQuantifying Mycobacterium tuberculosis Transmission Dynamics Across Global Settings: A Systematic Analysis
Smith J, Cohen T, Dowdy D, Shrestha S, Gandhi NR, Hill AN. Quantifying Mycobacterium tuberculosis Transmission Dynamics Across Global Settings: A Systematic Analysis. American Journal Of Epidemiology 2022, 192: 133-145. PMID: 36227246, PMCID: PMC10144641, DOI: 10.1093/aje/kwac181.Peer-Reviewed Original ResearchMeSH KeywordsHumansMycobacterium tuberculosisTuberculosisTuberculosis, Multidrug-ResistantWhole Genome SequencingConceptsTB transmissionOngoing TB transmissionMinority of casesTuberculosis transmission dynamicsTB controlTuberculosis transmissionSecondary casesSources of heterogeneityInclusion criteriaSurveillance studyTransmission clustersInitial searchTransmission dynamicsWhole-genome sequencingPopulation levelSettingPerformance of Xpert MTB/RIF and Mycobacterial Culture on Multiple Specimen Types for Diagnosis of Tuberculosis Disease in Young Children and Clinical Characterization According to Standardized Research Case Definitions
Click ES, Song R, Smith JP, Mchembere W, Fajans M, Hariri P, Okeyo E, McCarthy KD, Gethi D, Odeny L, Musau S, Okumu A, Orwa J, Perez-Velez CM, Wright CA, Andres M, Marais BJ, Schaaf HS, Graham SM, Cruz AT, Cain KP. Performance of Xpert MTB/RIF and Mycobacterial Culture on Multiple Specimen Types for Diagnosis of Tuberculosis Disease in Young Children and Clinical Characterization According to Standardized Research Case Definitions. The Pediatric Infectious Disease Journal 2022, 41: 671-677. PMID: 35703284, PMCID: PMC9288526, DOI: 10.1097/inf.0000000000003582.Peer-Reviewed Original ResearchMeSH KeywordsChildChild, PreschoolHumansMycobacterium tuberculosisProspective StudiesRetrospective StudiesSensitivity and SpecificitySputumTuberculosisConceptsXpert MTB/RIFResearch case definitionClinical case definitionMTB/RIFCase definitionIntrathoracic tuberculosisClinical characterizationMycobacterial cultureYoung childrenProspective cohort studyDifferent specimen typesDetailed clinical characterizationMultiple specimen typesSpecimen typesClinical diagnostic approachTB diseaseCohort studyMycobacterium tuberculosis complexParenchymal abnormalitiesConsecutive seriesOutpatient settingTuberculosis diseaseLeading causeXpert testChest radiographsCharacterizing tuberculosis transmission dynamics in high-burden urban and rural settings
Smith JP, Oeltmann JE, Hill AN, Tobias JL, Boyd R, Click ES, Finlay A, Mondongo C, Zetola NM, Moonan PK. Characterizing tuberculosis transmission dynamics in high-burden urban and rural settings. Scientific Reports 2022, 12: 6780. PMID: 35474076, PMCID: PMC9042872, DOI: 10.1038/s41598-022-10488-2.Peer-Reviewed Original ResearchMeSH KeywordsHumansMycobacterium tuberculosisProspective StudiesRural PopulationTuberculosisUrban PopulationConceptsTuberculosis transmission dynamicsHigh TB burden countriesPopulation-based molecular epidemiology studiesLocal TB epidemiologyHigh-burden settingsTB burden countriesRural settingsTransmission dynamicsRural populationMolecular epidemiology studiesBurden countriesEffective reproductive numberIncident casesTB epidemiologyTB transmissionMedian numberSecondary casesInfectious casesEpidemiology studiesFirst outbreakReproductive numberSecondary transmissionPopulationCritical roleSettingTuberculosis attributed to transmission within healthcare facilities, Botswana—The Kopanyo Study
Smith JP, Modongo C, Moonan PK, Dima M, Matsiri O, Fane O, Click ES, Boyd R, Finlay A, Surie D, Tobias JL, Zetola NM, Oeltmann JE. Tuberculosis attributed to transmission within healthcare facilities, Botswana—The Kopanyo Study. Infection Control And Hospital Epidemiology 2022, 43: 1603-1609. PMID: 35382909, PMCID: PMC9535034, DOI: 10.1017/ice.2021.517.Peer-Reviewed Original ResearchMeSH KeywordsBotswanaDelivery of Health CareHumansMycobacterium tuberculosisProspective StudiesTuberculosisConceptsElectronic medical recordsHealthcare facilitiesPopulation-based molecular epidemiologic studyMolecular epidemiologic studiesTB casesTB diagnosisTB transmissionTB epidemicMedical recordsTuberculosis diseaseBiologic plausibilityHealthcare workersIndividual patientsEpidemiologic studiesGeneral populationCommunity transmissionEtiologic agentTreatment dataClinical encountersPatientsEffective interventionsIndividual riskEMR dataTransmission eventsHigh-risk environmentsModel-based Analysis of Tuberculosis Genotype Clusters in the United States Reveals High Degree of Heterogeneity in Transmission and State-level Differences Across California, Florida, New York, and Texas
Shrestha S, Winglee K, Hill A, Shaw T, Smith J, Kammerer JS, Silk BJ, Marks S, Dowdy D. Model-based Analysis of Tuberculosis Genotype Clusters in the United States Reveals High Degree of Heterogeneity in Transmission and State-level Differences Across California, Florida, New York, and Texas. Clinical Infectious Diseases 2022, 75: 1433-1441. PMID: 35143641, PMCID: PMC9412192, DOI: 10.1093/cid/ciac121.Peer-Reviewed Original ResearchMeSH KeywordsCaliforniaFloridaGenotypeHumansMycobacterium tuberculosisNew YorkTexasTuberculosisUnited StatesConceptsTB casesTB transmissionKey public health priorityPublic health priorityMechanistic transmission modelsTB incidenceTuberculosis transmissionSecondary casesHealth priorityInfectious casesTransmission clustersDisease controlMean numberR0 estimatesUnited StatesWhole-genome sequencingSame countyGenotype clustersState-level differencesSecondary transmissionCasesIncidence
2021
A Cluster-based Method to Quantify Individual Heterogeneity in Tuberculosis Transmission
Smith JP, Gandhi NR, Silk BJ, Cohen T, Lopman B, Raz K, Winglee K, Kammerer S, Benkeser D, Kramer MR, Hill AN. A Cluster-based Method to Quantify Individual Heterogeneity in Tuberculosis Transmission. Epidemiology 2021, 33: 217-227. PMID: 34907974, PMCID: PMC8886690, DOI: 10.1097/ede.0000000000001452.Peer-Reviewed Original Research
2011
Nanoparticle delivery of anti-tuberculosis chemotherapy as a potential mediator against drug-resistant tuberculosis.
Smith JP. Nanoparticle delivery of anti-tuberculosis chemotherapy as a potential mediator against drug-resistant tuberculosis. The Yale Journal Of Biology And Medicine 2011, 84: 361-9. PMID: 22180674, PMCID: PMC3238330.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsAntitubercular AgentsDrug Delivery SystemsDrug Resistance, MicrobialHumansMycobacterium tuberculosisNanoparticlesTuberculosis, Multidrug-ResistantConceptsDrug-resistant tuberculosisCurrent chemotherapyAnti-TB drug candidatesAnti-tuberculosis chemotherapyDuration of treatmentDrug-resistant strainsGlobal health communityPill burdenPatient adherenceTuberculosis chemotherapyChemotherapyDrug resistanceIncomplete treatmentPotential mediatorsHealth communityNanoparticle drug deliveryTuberculosisDrug candidatesDevelopment pipelineNanoparticle deliveryTreatmentDeliveryDrug delivery