Dr Gwen Knight BA MSc MRes PhD
- Gwen Knight's Contacts
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As of Spring 2015, I have moved to the NIHR funded Health Protection Research Unit on Healthcare Associated Infections and Antimicrobial Resistance at Imperial College London, where you can find an up-to-date profile.
At LSHTM, I was a research fellow in Infectious Disease modelling. Specifically, I was involved in modelling the dynamics of the disease Tuberculosis (TB) and the impact of a range of different control measures from new drug regimens to vaccines.
I completed my PhD in 2012 investigating various aspects, both modelling and experimental, of the hospital associated bacteria methicillin resistant Staphylococcus aureus (MRSA). This was completed at CoMPLEX, UCL, with experimental and epidemiological work based at St George's Healthcare NHS Trust. Prior to this, I was awarded a BA in Mathematics from Oxford University, and an MSc in Mathematical Modelling from UCL. This led to an MRes in Modelling Biological Complexity at CoMPLEX.
I was co-organiser of the "Introduction to Infectious Disease Modelling and its Applications" short course at LSHTM. I also used to teach on the MSc module of the same name.
Keeping an interest in bacterial evolution, my work since starting at LSHTM in the spring of 2012 has involved investigating new methods to control the spread of Mycobacterium tuberculosis in South Africa. In particular, the impact of antiretroviral therapy and isoniazid preventative therapy on long term TB disease incidence. The results from this work will aid policy making decisions through the new TBMac collaboration. This work has now been published.
More recently, I worked on a collaborative project to investigate the cost-effectiveness of TB vaccines funded by AERAS. As well as a project to determine the population level impact on transmission of a shortening of TB drug regimens funded by the TB Alliance.
I am also working in collaboration with UCL on projects investigating drug resistance within TB.
I am part of the TB modelling team and am affiliated with both the Centre for the Mathematical Modelling of Infectious Diseases and the TB Centre.
- Disease control
- Drug resistance
- Mathematical modelling
Disease and Health Conditions
- Sub-Saharan Africa (all income levels)
- South Africa
- Antiretroviral Therapy
- R statistical language
- TB Centre
Population-level impact of shorter-course regimens for tuberculosis: a model-based analysis.
Fofana, M.O. ; Knight, G.M. ; Gomez, G.B. ; White, R.G. ; Dowdy, D.W. ;
PLoS One, 2014; 9(5):e96389
Impact and cost-effectiveness of new tuberculosis vaccines in low- and middle-income countries.
Knight, G.M.; Griffiths, U.K.; Sumner, T.; Laurence, Y.V.; Gheorghe, A.; Vassall, A.; Glaziou, P.; White, R.G.;
Proc Natl Acad Sci U S A, 2014; 111(43):15520-5
Predicting the long-term impact of antiretroviral therapy scale-up on population incidence of tuberculosis.
Dodd, P.J. ; Knight, G.M. ; Lawn, S.D. ; Corbett, E.L. ; White, R.G. ;
PLoS One, 2013; 8(9):e75466
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