Dr Richard White BSc MSc PhD
About Richard White
Mathematical and statistical modelling of the transmission and control of infectious diseases
- Richard White's Contacts
- Keppel Street
- WC1E 7HT
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Richard White's Background
Richard G White (BSc, MSc, PhD) is Reader in Infectious Disease Modelling in the Centre for the Mathematical Modelling of Infectious Diseases and the TB Centre at the London School of Hygiene and Tropical Medicine. He is Director of the TB Modelling and Analysis Consortium (TB MAC) and leads the TB Modelling Group.
Richard was awarded a BSc in Physics from Durham University and an MSc in Medical Demography from LSHTM. He was awarded a PhD in infectious disease modelling in 2006, led the establishment of the LSHTM’s Centre for the Mathematical Modelling of Infectious Diseases in 2007, and was awarded a Methodology Research Fellowship from the Medical Research Council in 2009.
Richard White's Affiliation
Richard White's Teaching
Richard teaches on the mathematical modelling of the spread and control of infectious diseases. He organises the LSHTM Infectious Disease Modelling summer short course and MSc Module with Emilia Vynnycky (UK Health Protection Agency), Tom Sumner and Gwen Knight (LSHTM).
He is co-author of the introductory modelling textbook An Introduction to Infectious Disease Modelling published by Oxford University Press.
Richard White's Research
Richard's research focus is the mathematical and statistical modelling of the transmission and control of infectious diseases, particularly HIV and TB.
He has co-authored over 65 peer-reviewed scientific publications. He is currently principal investigator of five research grants: the 'TB Modelling and Analysis Consortium', the Modelling Core of the ‘CREATE’ consortium (“Improving tuberculosis control in Africa: mathematical modeling of Consortium to Respond Effectively to the AIDS/TB Epidemic)”, “Estimating the impact of IPT and ART on TB incidence in general populations in South Africa” , "Respondent-driven sampling: Empirical evaluation and methodological developmentand", and “Calibration and analysis of complex models: methodological development and application to impact of ART in Africa”.
He is Associate Editor for the journal STI.
- Disease control
- Infectious disease policy
- Public health
- Social and structural determinants of health
- Statistical methods
- Mathematical modelling
Disease and Health Conditions
- Infectious disease
- Sexually transmitted disease
- Latin America & Caribbean (all income levels)
- Least developed countries: UN classification
- Middle East & North Africa (all income levels)
- North America
- Sub-Saharan Africa (all income levels)
- South Africa
- United Kingdom
- United States
The potential effects of changing HIV treatment policy on tuberculosis outcomes in South Africa: results from three tuberculosis-HIV transmission models.
Pretorius, C. ; Menzies, N.A. ; Chindelevitch, L. ; Cohen, T. ; Cori, A. ; Eaton, J.W. ; Fraser, C. ; Gopalappa, C. ; Hallett, T.B. ; Salomon, J.A. ; Stover, J. ; White, R.G. ; Dodd, P.J. ;
AIDS, 2014; 28 Suppl 1:S25-34
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;
Health benefits, costs, and cost-effectiveness of earlier eligibility for adult antiretroviral therapy and expanded treatment coverage: a combined analysis of 12 mathematical models
Eaton, J.W.; Menzies, N.A.; Stover, J.; Cambiano, V.; Chindelevitch, L.; Cori, A.; Hontelez, J.A.C.; Humair, S.; Kerr, C.C.; Klein, D.J.; Mishra, S.; Mitchell, K.M.; Nichols, B.E.; Vickerman, P.; Bakker, R.; Bärnighausen, T.; Bershteyn, A.; Bloom, D.E.; Boily, M.-C.; Chang, S.T.; Cohen, T.; Dodd, P.J.; Fraser, C.; Gopalappa, C.; Lundgren, J.; Martin, N.K.; Mikkelsen, E.; Mountain, E.; Pham, Q.D.; Pickles, M.; Phillips, A.; Platt, L.; Pretorius, C.; Prudden, H.J.; Salomon, J.A.; van de Vijver, D.A.M.C.; de Vlas, S.J.; Wagner, B.G.; White, R.G.; Wilson, D.P.; Zhang, L.; Blandford, J.; Meyer-Rath, G.; Remme, M.; Revill, P.; Sangrujee, N.; Terris-Prestholt, F.; Doherty, M.; Shaffer, N.; Easterbrook, P.J.; Hirnschall, G.; Hallett, T.B.
The Lancet Global Health, 2014; 2(1):e23-e34
HIV Treatment as Prevention: Optimising the Impact of Expanded HIV Treatment Programmes
Delva, W.; Eaton, J.W.; Meng, F.; Fraser, C.; White, R.G.; Vickerman, P.; Boily, M.C.; Hallett, T.B.;
Plos Medicine, 2012; 9(7):e1001258
An Introduction to Infectious Disease Modelling
Vynnycky, E.; White, R.G.
Oxford University Press 2010
Male circumcision for HIV prevention in high HIV prevalence settings: what can mathematical modelling contribute to informed decision making?
UNAIDS/WHO/SACEMA Expert Group on Modelling the Impact and Cost of Male Circumcision for HIV Prevention, (Hankins, C; Hargrove, J; Williams, B; Abu-Raddad, L; Auvert, B; Bollinger, L; Dorrington, R; Ghani, A; Gray, R; Hallett, T; Kahn, JG; Lohse, N; Nagelkerke, N; Porco, T; Schmid, G; Stover, J; Weiss, H; Welte, A; White, P; White, R.; ).;
PLoS Med, 2009; 6(9):e1000109
Quantifying HIV-1 transmission due to contaminated injections.
White, R.G.; Cooper, B.S.; Kedhar, A.; Orroth, K.K.; Biraro, S.; Baggaley, R.F.; Whitworth, J.; Korenromp, E.L.; Ghani, A.; Boily, M.C.; Hayes, R.J.;
Proc Natl Acad Sci U S A, 2007; 104(23):9794-9
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