Tuberculosis
Tuberculosis is a leading cause of infectious disease mortality. The disease is curable with cost-effective drugs, yet there are serious challenges in its early detection, especially in high-burden settings with weak or fragmented healthcare systems. Multi-drug resistance is posing a growing problem, emblematic of the pressing issues around AMR more broadly. Meanwhile, interactions with other morbidities such as HIV and diabetes can threaten to derail TB control efforts. In low-burden countries, the challenge is targeting interventions to reach affected groups cost-effectively. In view of these issues, research for TB control demands a concerted effort, from basic science to more policy-focused research.
We contribute to these efforts through a range of research themes:
TB in high-burden settings
- Understanding the role of complex healthcare systems in TB transmission, with a focus on India - the country with the world's highest TB burden
- Policy-focused research addressing strategic priorities for Tb control, in the broader South-East Asian region
- From passive to active TB programmes: when is case-finding worth it?
TB in low-burden settings
- Priorities for countries approaching TB elimination
- Assessing the cost-effectiveness of different approaches to TB control, assist in planning interventions and evaluate interventions that have been applied
Molecular epidemiology of TB
- Use of whole-genome sequencing as a replacement for previous molecular typing
- Development of statistical methods to track transmission using genomic data
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Hosted initiatives and groups
Discover more about our work in this theme through our various initiatives and research groups:
Research themes
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People
Dr Nimalan Arinaminpathy (Nim Pathy)

Dr Nimalan Arinaminpathy (Nim Pathy)
Reader in Mathematical Epidemiology
Dr Leonid Chindelevitch

Dr Leonid Chindelevitch
Lecturer in Infectious Disease Epidemiology
Professor Timothy Hallett

Professor Timothy Hallett
Professor of Global Health
Prof Peter White

Prof Peter White
Professor in Public Health Modelling