Dr Rein Houben PhD
About Rein Houben
Epidemiologist with extensive experience in tuberculosis and molecular epidemiology, currently working in the field of tuberculosis mathematical modelling.
- Rein Houben's Contacts
- Keppel Street
- WC1E 7HT
- T: +44(0)20 7927 2956
I came to the School in 2006, working primarily on the molecular epidemiology of Tuberculosis. After spending 3 years working on field studies in North Malawi, I moved back to London in 2012 to join the TB modelling and Analysis Consortium (www.tb-mac.org) and LSHTM TB modelling group.
I have taught on a wide variety of courses in the In House and Distance Learning MSc Epidemiology. My organisational responsibilities have included EPM103: Practical Epidemiology (where I still run the Virtual Ethics Committee) and EPM302: Modelling and Dynamics of Infectious Diseases. Currently I am a module co-organiser for EP202: Statistical Methods in Epidemiology
My main research focus is creating mathematical models that can inform TB policy and enable capacity building. I lead the development and implementation of TIME, a widely used TB modelling tool. I also work on models to improve our understanding of burden and treatment of latent TB infection as well as social determinants of TB.
- Mathematical modelling
Disease and Health Conditions
- Euro area
- South Asia
- Sub-Saharan Africa (all income levels)
- Sub-Saharan Africa (developing only)
TIME Impact - a new user-friendly tuberculosis (TB) model to inform TB policy decisions.
Houben, R.M. ; Lalli, M. ; Sumner, T. ; Hamilton, M. ; Pedrazzoli, D. ; Bonsu, F. ; Hippner, P. ; Pillay, Y. ; Kimerling, M. ; Ahmedov, S. ; Pretorius, C. ; White, R.G. ;
BMC Med, 2016; 14(1):56
Large-scale whole genome sequencing of M. tuberculosis provides insights into transmission in a high prevalence area.
Guerra-Assunção, J. ; Crampin, A. ; Houben, R. ; Mzembe, T. ; Mallard, K. ; Coll, F. ; Khan, P. ; Banda, L. ; Chiwaya, A. ; Pereira, R. ; McNerney, R. ; Fine, P. ; Parkhill, J. ; Clark, T. ; Glynn, J. ;
Elife, 2015; 4
Pre-treatment loss to follow-up in tuberculosis patients in low- and lower-middle-income countries and high-burden countries: a systematic review and meta-analysis.
Macpherson, P. ; Houben, R.M. ; Glynn, J.R. ; Corbett, E.L. ; Kranzer, K. ;
Bull World Health Organ, 2014; 92(2):126-138
Ability of preventive therapy to cure latent Mycobacterium tuberculosis infection in HIV-infected individuals in high-burden settings.
Houben, R.M.; Sumner, T.; Grant, A.D.; White, R.G.;
Proc Natl Acad Sci U S A, 2014; 111(14):5325-30
How can mathematical models advance tuberculosis control in high HIV prevalence settings?
Houben, R.M. ; Dowdy, D.W. ; Vassall, A. ; Cohen, T. ; Nicol, M.P. ; Granich, R.M. ; Shea, J.E. ; Eckhoff, P. ; Dye, C. ; Kimerling, M.E. ; White, R.G. ; TB MAC TB-HIV meeting participants, . ;
Int J Tuberc Lung Dis, 2014; 18(5):509-14
The effect of diabetes and undernutrition trends on reaching 2035 global tuberculosis targets.
Odone, A. ; Houben, R.M. ; White, R.G. ; Lönnroth, K. ;
Lancet Diabetes Endocrinol, 2014; 2(9):754-764
Using the TIME model in Spectrum to estimate tuberculosis-HIV incidence and mortality.
Pretorius, C. ; Glaziou, P. ; Dodd, P.J. ; White, R. ; Houben, R. ;
AIDS, 2014; 28 Suppl 4:S477-S487
Yield of HIV-associated tuberculosis during intensified case finding in resource-limited settings: a systematic review and meta-analysis.
Kranzer, K.; Houben, R.M.; Glynn, J.R.; Bekker, L.G.; Wood, R.; Lawn, S.D.;
Lancet Infect Dis, 2010; 10(2):93-102
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