Imperial College London

Dr. Nimalan Arinaminpathy (Nim Pathy)

Faculty of MedicineSchool of Public Health

Senior Lecturer in Population Biology



nim.pathy Website




Praed StreetSt Mary's Campus





I am a Senior Lecturer in the Department of Infectious Disease Epiemiology, in the School of Public Health, at Imperial College London. I apply mathematical and statistical tools to study the transmission dynamics of infectious diseases, with equal interest in basic science and policy-focused analysis. 

Research interests

A major focus of my research is in the interface between health/economic systems and infectious diseases, particularly in the context of human tuberculosis. This includes understanding how health systems shape the control of infectious diseases (with the Public Health Foundation of India), and studying financing mechanisms for the supply of drugs to countries in need (with the Stop TB Partnership).

I am periodically seconded to the US Centers for Disease Control and Prevention, where I apply mathematical modelling to the surveillance and control of seasonal and pandemic influenza, amongst other topics.

More broadly, events in global financial markets since 2007 have heightened interest in applying insights from other systems, including infectious disease epidemiology, to understanding the spread and control of 'contagion' in modern financial systems. With colleagues from the Bank of England and the University of Oxford, I maintain a continuing involvement in this area.   

Biographical sketch

I trained in Applied Mathematics (BA Cambridge 2000, D.Phil Oxford 2005); between these programmes I spent a year as a scientist in a government research lab (Dstl, 2001). 

Following my DPhil I trained in mathematical epidemiology as a postdoctoral researcher, first at the University of Oxford and then at Princeton University (USA) before finally returning to the UK.



Arinaminpathy N, Kim IK, Gargiullo P, et al., 2017, Estimating Direct and Indirect Protective Effect of Influenza Vaccination in the United States., Am J Epidemiol, Pages:1-9

Mandal S, Chadha VK, Laxminarayan R, et al., 2017, Counting the lives saved by DOTS in India: a model-based approach, Bmc Medicine, Vol:15, ISSN:1741-7015

Pandey S, Chadha VK, Laxminarayan R, et al., 2017, Estimating tuberculosis incidence from primary survey data: a mathematical modeling approach., Int J Tuberc Lung Dis, Vol:21, Pages:366-374

Arinaminpathy N, Batra D, Khaparde S, et al., 2016, The number of privately treated tuberculosis cases in India: an estimation from drug sales data, Lancet Infectious Diseases, Vol:16, ISSN:1473-3099, Pages:1255-1260

Arinaminpathy N, Dewan P, 2016, Tuberculosis burden in India's private sector Reply, Lancet Infectious Diseases, Vol:16, ISSN:1473-3099, Pages:1329-1329

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