Projects per year
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.
Original language | English |
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Pages (from-to) | 1145-1150 |
Number of pages | 6 |
Journal | International Journal of Tuberculosis and Lung Disease |
Volume | 24 |
Issue number | 11 |
DOIs | |
Publication status | Published - 1 Nov 2020 |
Keywords
- TB modelling
- Disease models
- Statistical modelling
- Within-host mechanistic model
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Dive into the research topics of 'How mechanistic in silico modelling can improve our understanding of TB disease and treatment'. Together they form a unique fingerprint.Projects
- 3 Finished
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Using individual-based mathematical: Using individual-based mathematical models to study antibiotic resistance
Bowness, R. (PI)
1/03/18 → 30/09/21
Project: Standard
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IMI PREDICT TB: EU Innovative Medicines Initiative (IMI) 75% account
Gillespie, S. H. (PI)
1/05/12 → 31/10/17
Project: Standard