Dr Ivor Langley

Operational Research Analyst

Area of interest

Virtual implementation using computer modelling of new processes and technology to project patient, health system and population impact in support of national and global policy making.


Ivor joined the Liverpool School of Tropical Medicine in 2010 as Operational Research Analyst. He graduated from the University of Birmingham in 1978 with a Masters Degree in Operational Research following his Bachelor’s Degree in Mathematics. He worked in Operational Research and related statistical modelling in manufacturing, retailing, and as a consultant for over 14 years, before following a successful general management career as a director for the UK companies Littlewoods Shop Direct and Home Retail Group Card Services. Ivor worked for over nine years for a company that specialises in the process simulation software WITNESS which he l uses for his work on the TREAT TB programme. In recent years, Ivor has also been involved in using his management and training skills in educational projects in Tanzania and at the Instite a health project in the DR Congo.

As part of the collaborative TREAT TB Research Programme, Ivor is applying operational research (OR) methods (such as simulation modelling and forecasting) to model and predict optimal placement of new technologies (diagnostics and treatment) and packages of technologies, in developing country health systems, to promote access by the poor to health services. Working within a multidisciplinary team primarily with data generated through the Programme and other sources, he seeks to provide comprehensive information to policy makers on the appropriate most effective technologies and approaches


Main interests include the use of modelling to assist in policy decisions on new diagnostic processes and technology in low and middle income countries. This approach is currently being applied to TB and MDR-TB diagnosis in Tanzania, Brazil, and South Africa

Selected publications

  • Selected Publications

    Dowdy DW, Houben R, Cohen T, Pai M, Cobelens F, Vassall A, Menzies NA, Gomez GB, Langley I, Squire SB, White R; TB MAC meeting participants (2014). Impact and cost-effectiveness of current and future tuberculosis diagnostics: the contribution of modelling. International Journal of Tuberculosis and  Lung Disease. 2014 Sep;18(9):1012-8. doi: 10.5588/ijtld.13.0851.

    Langley I, Adams E, Doulla B, and Squire SB (2014). Operational modelling to guide implementation and scale-up of diagnostic tests within the health system: exploring opportunities for parasitic disease diagnostics based on example application for tuberculosis. Parasitology, Page 1 of 8. © Cambridge University Press 2014 doi:10.1017/S0031182014000985.

    Langley I, Lin H-H, Egwaga S, Doulla B, Ku C-C, Murray M, Cohen T, Squire SB (2014). Assessment of the patient, health system, and population effects of Xpert MTB/RIF and alternative diagnostics for tuberculosis in Tanzania: an integrated modelling approach. The Lancet Global Health, Volume 2, Issue 10, Pages e581 - e591, October 2014. doi:10.1016/S2214-109X(14)70291-8.

    Langley, Ivor, Doulla, Basra, and Squire, Bertie (2012) ‘Projecting the impacts of Xpert MTB/RIF using virtual Implementation’. Sacema Quarterly, November 2012.