2023
Resistance-minimising strategies for introducing a novel antibiotic for gonorrhoea treatment: a mathematical modelling study
Reichert E, Yaesoubi R, Rönn M, Gift T, Salomon J, Grad Y. Resistance-minimising strategies for introducing a novel antibiotic for gonorrhoea treatment: a mathematical modelling study. The Lancet Microbe 2023, 4: e781-e789. PMID: 37619582, PMCID: PMC10865326, DOI: 10.1016/s2666-5247(23)00145-3.Peer-Reviewed Original ResearchConceptsPrevalence of resistancePrimary outcomeGonococcal infectionGonorrhea treatmentCombination therapyAntibiotic resistanceResistance emergenceNew antibioticsNew drugsUrgent public health concernCombination therapy strategiesSexual activity groupsPopulation-level prevalencePublic health concernSecondary outcomesAnnual incidenceGonorrhoea transmissionCurrent therapiesMSM populationUS CentersMathematical modelling studyCurrent drugsUS populationNeisseria gonorrhoeaeInfectious diseases
2018
Progression from latent infection to active disease in dynamic tuberculosis transmission models: a systematic review of the validity of modelling assumptions
Menzies NA, Wolf E, Connors D, Bellerose M, Sbarra AN, Cohen T, Hill AN, Yaesoubi R, Galer K, White PJ, Abubakar I, Salomon JA. Progression from latent infection to active disease in dynamic tuberculosis transmission models: a systematic review of the validity of modelling assumptions. The Lancet Infectious Diseases 2018, 18: e228-e238. PMID: 29653698, PMCID: PMC6070419, DOI: 10.1016/s1473-3099(18)30134-8.Peer-Reviewed Original ResearchConceptsTuberculosis transmission modelActive diseaseCumulative incidenceRisk factorsSystematic reviewNatural historyFeatures of epidemiologyDisease natural historyIndividual risk factorsTuberculosis natural historyEarliest available dateWeb of ScienceAnnual incidenceCochrane LibraryTuberculosis incidenceInclusion criteriaFuture tuberculosisLatent infectionInitial infectionIncidenceSubstantial proportionPopulation groupsAvailable dateInfectionDisease