2021
Development of a Treatment-decision Algorithm for Human Immunodeficiency Virus–uninfected Children Evaluated for Pulmonary Tuberculosis
Gunasekera KS, Walters E, van der Zalm MM, Palmer M, Warren JL, Hesseling AC, Cohen T, Seddon JA. Development of a Treatment-decision Algorithm for Human Immunodeficiency Virus–uninfected Children Evaluated for Pulmonary Tuberculosis. Clinical Infectious Diseases 2021, 73: e904-e912. PMID: 33449999, PMCID: PMC8366829, DOI: 10.1093/cid/ciab018.Peer-Reviewed Original ResearchConceptsPulmonary tuberculosisClinical evidenceXpert MTB/RIFBaseline clinical evaluationChest radiographic resultsRapid treatment initiationNational Tuberculosis ProgrammeTreatment decision algorithmsEvidence-based algorithmMTB/RIFDiagnosis of tuberculosisChest radiographicAntituberculosis treatmentProspective cohortRadiographic resultsTreatment initiationTuberculosis casesTuberculosis ProgrammeClinical evaluationCase definitionTreatment decisionsGlobal burdenChildhood mortalityChildren EvaluatedRapid clinical diagnosis
2020
Children as sentinels of tuberculosis transmission: disease mapping of programmatic data
Gunasekera KS, Zelner J, Becerra MC, Contreras C, Franke MF, Lecca L, Murray MB, Warren JL, Cohen T. Children as sentinels of tuberculosis transmission: disease mapping of programmatic data. BMC Medicine 2020, 18: 234. PMID: 32873309, PMCID: PMC7466499, DOI: 10.1186/s12916-020-01702-x.Peer-Reviewed Original ResearchConceptsNational Tuberculosis ProgrammeActive case-finding interventionsCase-finding interventionsTuberculosis transmissionNotification dataTuberculosis ProgrammeTuberculosis incidenceChild casesChildhood tuberculosis casesRecent transmission eventsProportion of casesCase notification dataMolecular epidemiological methodsMolecular epidemiologic methodsEndemic infectious diseasesTuberculosis casesProspective studyAdult casesDisease progressionNotification registerProgrammatic dataDistricts of LimaEpidemiological methodsInfectious diseasesTransmission hotspots
2016
Feasibility of achieving the 2025 WHO global tuberculosis targets in South Africa, China, and India: a combined analysis of 11 mathematical models
Houben RMGJ, Menzies NA, Sumner T, Huynh GH, Arinaminpathy N, Goldhaber-Fiebert JD, Lin HH, Wu CY, Mandal S, Pandey S, Suen SC, Bendavid E, Azman AS, Dowdy DW, Bacaër N, Rhines AS, Feldman MW, Handel A, Whalen CC, Chang ST, Wagner BG, Eckhoff PA, Trauer JM, Denholm JT, McBryde ES, Cohen T, Salomon JA, Pretorius C, Lalli M, Eaton JW, Boccia D, Hosseini M, Gomez GB, Sahu S, Daniels C, Ditiu L, Chin DP, Wang L, Chadha VK, Rade K, Dewan P, Hippner P, Charalambous S, Grant AD, Churchyard G, Pillay Y, Mametja LD, Kimerling ME, Vassall A, White RG. Feasibility of achieving the 2025 WHO global tuberculosis targets in South Africa, China, and India: a combined analysis of 11 mathematical models. The Lancet Global Health 2016, 4: e806-e815. PMID: 27720688, PMCID: PMC6375908, DOI: 10.1016/s2214-109x(16)30199-1.Peer-Reviewed Original ResearchConceptsEnd TB Strategy targetsPreventive therapyTuberculosis incidenceContinuous isoniazid preventive therapyGlobal tuberculosis targetsIsoniazid preventive therapySymptoms of tuberculosisActive case findingNational Tuberculosis ProgrammeEnd TB StrategyHigh-burden countriesAntiretroviral therapyLatent tuberculosisStrategy targetsTuberculosis burdenTuberculosis careTuberculosis ProgrammeTB StrategyTuberculosis transmissionHealth centersAdditional interventionsTuberculosis interventionsCase findingTuberculosis epidemiologyEpidemiological impact