Dr. Mayara Bastos is a clinician-scientist whose research focuses on optimizing tuberculosis (TB) prevention and care through quantitative modelling, real-world data, and clinical research. Her work bridges epidemiology, implementation science, and clinical decision support, with a particular emphasis on tuberculosis preventive therapy (TPT) and drug–drug interactions in people with complex medical conditions.
Developed during her postdoctoral research, TST in 4D is an advanced web-based decision-support tool that estimates individualized risks and benefits of TPT across multiple populations, age groups, and infection test results. Using state-transition microsimulation modelling, Dr. Bastos’s work examines how regimen choice, age, and comorbidities influence TB outcomes and quality-adjusted life years, providing an evidence base for precision TB prevention.
Through her collaborations with the University of Manitoba, McGill University, and partners across Canada and Brazil, Dr. Bastos aims to generate evidence that informs clinical decision-making, enhances TB prevention strategies, and supports equitable implementation of shorter, safer TPT regimens.
Current research projects:
Her current research program includes multi-site clinical and pharmacokinetic studies investigating rifamycin-based regimens and drug–drug interactions in individuals with HIV and other chronic conditions. In parallel, she leads a living systematic review on interactions between TB preventive therapy and antiretroviral or other commonly used medications.
Email: lisboasm [at] myumanitoba.ca
