Jonathan P Smith, PhD, MPH
Cards
About
Research
Publications
2024
Feasibility and utility of a combined nasogastric-tube-and-string-test device for bacteriologic confirmation of pulmonary tuberculosis in young children
Khambati N, Song R, Smith J, Bijker E, McCarthy K, Click E, Mchembere W, Okumu A, Musau S, Okeyo E, Perez-Velez C, Cain K. Feasibility and utility of a combined nasogastric-tube-and-string-test device for bacteriologic confirmation of pulmonary tuberculosis in young children. Diagnostic Microbiology And Infectious Disease 2024, 109: 116302. PMID: 38657352, PMCID: PMC11128341, DOI: 10.1016/j.diagmicrobio.2024.116302.Peer-Reviewed Original ResearchTuberculosis Preventive Treatment Update — U.S. President’s Emergency Plan for AIDS Relief, 36 Countries, 2016–2023
Ajiboye A, O’Connor S, Smith J, Ahmedov S, Coggin W, Charles M, Ghosh S, Pierre P, Shah N, Teran R, Moonan P, Date A. Tuberculosis Preventive Treatment Update — U.S. President’s Emergency Plan for AIDS Relief, 36 Countries, 2016–2023. MMWR Morbidity And Mortality Weekly Report 2024, 73: 233-238. PMID: 38512767, PMCID: PMC10967683, DOI: 10.15585/mmwr.mm7311a1.Peer-Reviewed Original ResearchConceptsU.S. President's Emergency PlanPresident's Emergency Plan for AIDS ReliefTB preventive treatmentAIDS ReliefAntiretroviral treatmentU.S. President's Emergency Plan for AIDS ReliefElectronic medical record systemPresident's Emergency PlanPatient-centered approachFiscal yearNational HIV programTB-attributed deathsMedical record systemTB-related deathsOverall completion rateHIV programsCompletion ratesRecording systemTB diseaseStandard of careHIVHigh riskPersonsEmergency planningShorter regimensLong-term follow-up of persons diagnosed with multidrug-resistant TB in Chennai, India, 2013–2020
Surie D, Sathyanarayanan M, Lavanya J, Smith J, Shanmugam S, Tamilzhalagan S, Selvaraj A, Ramesh G, Tripathy S, Khaparde S, Ho C, Hall-Eidson P, Ranganathan U, Selvaraju S, Moonan P. Long-term follow-up of persons diagnosed with multidrug-resistant TB in Chennai, India, 2013–2020. The International Journal Of Tuberculosis And Lung Disease 2024, 28: 54-56. PMID: 38178300, PMCID: PMC10859871, DOI: 10.5588/ijtld.23.0272.Peer-Reviewed Original Research
2023
Machine learning to predict bacteriologic confirmation of Mycobacterium tuberculosis in infants and very young children
Smith J, Milligan K, McCarthy K, Mchembere W, Okeyo E, Musau S, Okumu A, Song R, Click E, Cain K. Machine learning to predict bacteriologic confirmation of Mycobacterium tuberculosis in infants and very young children. PLOS Digital Health 2023, 2: e0000249. PMID: 37195976, PMCID: PMC10191346, DOI: 10.1371/journal.pdig.0000249.Peer-Reviewed Original ResearchMicrobial confirmationTB diseaseYoung childrenNoninvasive procedureLarge prospective cohortCases of tuberculosisChest X-rayDiagnosis of tuberculosisClinical decision makingBacteriologic confirmationHousehold contactsTB infectionProspective cohortRadiologic factorsPaucibacillary natureClinical similaritiesDiagnostic cohortClinical diseaseChildhood diseasesInvasive proceduresNovel biomarkersTuberculosisClinical researchM. tuberculosisDiseaseRetaining Patients with Drug-Resistant Tuberculosis on Treatment During the COVID-19 Pandemic — Dharavi, Mumbai, India, 2020–2022
Gomare M, Bhide S, Deshmukh R, Kaipilyawar S, Puri V, Moonan P, Khetade D, Nyendak M, Yeldandi V, Smith J, Tobias J, Date A, Joshi R, Kumar R, Ho C. Retaining Patients with Drug-Resistant Tuberculosis on Treatment During the COVID-19 Pandemic — Dharavi, Mumbai, India, 2020–2022. MMWR Morbidity And Mortality Weekly Report 2023, 72: 304-308. PMID: 36952291, PMCID: PMC10042620, DOI: 10.15585/mmwr.mm7212a2.Peer-Reviewed Original ResearchIsolation and Quarantine for Coronavirus Disease 2019 in the United States, 2020–2022
Oeltmann J, Vohra D, Matulewicz H, DeLuca N, Smith J, Couzens C, Lash R, Harvey B, Boyette M, Edwards A, Talboy P, Dubose O, Regan P, Loosier P, Caruso E, Katz D, Taylor M, Moonan P. Isolation and Quarantine for Coronavirus Disease 2019 in the United States, 2020–2022. Clinical Infectious Diseases 2023, 77: 212-219. PMID: 36947142, PMCID: PMC11094624, DOI: 10.1093/cid/ciad163.Peer-Reviewed Original ResearchConceptsCoronavirus disease 2019Case patientsDisease 2019Positive severe acute respiratory syndrome coronavirus 2 test resultAdult case patientsCase investigationCOVID-19Public health programsPublic health workforceHealth programsHealth workforceContact tracingPatientsHealth officialsMost adultsAdultsDaysImpact of contactRepresentative sampleTotalMore adultsPanel SurveyQuarantineDevelopment of treatment-decision algorithms for children evaluated for pulmonary tuberculosis: an individual participant data meta-analysis
Gunasekera K, Marcy O, Muñoz J, Lopez-Varela E, Sekadde M, Franke M, Bonnet M, Ahmed S, Amanullah F, Anwar A, Augusto O, Aurilio R, Banu S, Batool I, Brands A, Cain K, Carratalá-Castro L, Caws M, Click E, Cranmer L, García-Basteiro A, Hesseling A, Huynh J, Kabir S, Lecca L, Mandalakas A, Mavhunga F, Myint A, Myo K, Nampijja D, Nicol M, Orikiriza P, Palmer M, Sant'Anna C, Siddiqui S, Smith J, Song R, Thuong Thuong N, Ung V, van der Zalm M, Verkuijl S, Viney K, Walters E, Warren J, Zar H, Marais B, Graham S, Debray T, Cohen T, Seddon J. Development of treatment-decision algorithms for children evaluated for pulmonary tuberculosis: an individual participant data meta-analysis. The Lancet Child & Adolescent Health 2023, 7: 336-346. PMID: 36924781, PMCID: PMC10127218, DOI: 10.1016/s2352-4642(23)00004-4.Peer-Reviewed Original ResearchConceptsTreatment decision algorithmsPrimary health care settingsIndividual participant dataHigh tuberculosis incidencePulmonary tuberculosisManagement of tuberculosisHealth care centersComposite reference standardHealth care settingsClinical featuresTuberculosis incidenceClinical evaluationParticipant dataTreatment decisionsChest X-ray featuresPrimary health care centersFuture prospective evaluationTuberculosis-related mortalityEvidence-based algorithmChest X-rayVariable diagnostic performanceMultivariable prediction modelReference standardEvidence-based approachTuberculosis experts
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 ResearchClinical and Radiologic Factors Associated With Detection of Mycobacterium tuberculosis in Children Under 5 Years old Using Invasive and Noninvasive Sample Collection Techniques—Kenya
Smith J, Song R, McCarthy K, Mchembere W, Click E, Cain K. Clinical and Radiologic Factors Associated With Detection of Mycobacterium tuberculosis in Children Under 5 Years old Using Invasive and Noninvasive Sample Collection Techniques—Kenya. Open Forum Infectious Diseases 2022, 9: ofac560. PMID: 36386048, PMCID: PMC9664973, DOI: 10.1093/ofid/ofac560.Peer-Reviewed Original ResearchSpecimen collection techniquesRadiologic factorsYoung childrenProspective cohort studyFine-needle aspirationHistory of exposurePublic health concernCritical public health concernBacteriologic confirmationAirway compressionCervical lymphadenopathyRadiological factorsCohort studyPediatric tuberculosisTB casesPresumptive tuberculosisClinical managementImmunologic evidenceNeedle aspirationPositive specimenDiagnostic testingTuberculosisLogistic regressionHealth concernMycobacterium tuberculosisQuantifying 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 ResearchConceptsTB transmissionOngoing TB transmissionMinority of casesTuberculosis transmission dynamicsTB controlTuberculosis transmissionSecondary casesSources of heterogeneityInclusion criteriaSurveillance studyTransmission clustersInitial searchTransmission dynamicsWhole-genome sequencingPopulation levelSetting