Our latest editorial piece from the Infection and Global Health Research Division at the University of St Andrews on the need for mechanistic modelling of within-host tuberculosis dynamics, entitled “How mechanistic in silico modelling can improve our understanding of TB disease and treatment”, is now live in the International Journal of Tuberculosis and Lung disease: link here.

Abstract:

TB is one of the top 10 causes of death worldwide and the leading cause of death from a single infectious agent. Decreasing the length of time for TB treatment is an important step towards the goal of reducing mortality. Mechanistic in silico modelling can provide us with the tools to explore gaps in our knowledge, with the opportunity to model the complicated within-host dynamics of the infection, and simulate new treatment strategies. Significant insight has been gained using this form of modelling when applied to other diseases – much can be learned in infection research from these advances.