Researchers are using mathematical modelling to study the impact of various factors on tuberculosis treatment and incidence. The studies examine different aspects, including the effects of increasing treatment coverage, addressing determinants of risk in men, and the role of other health issues such as HIV and COVID-19. The models aim to estimate the potential benefits of interventions such as improved nutrition, digital adherence technologies, and vaccines in reducing tuberculosis incidence and mortality.