Imperial College London


Faculty of MedicineSchool of Public Health

Professor of Global Health



+44 (0)20 7594 1150timothy.hallett




Norfolk PlaceSt Mary's Campus





I am an Associate Director of the MRC Centre for Global Infectious Disease Analysis and a lead investigator at the Jameel Institute.

My main research interests are:

  • Characterising the epidemiology of, and the potential impact of interventions for, some of the most high burden infectious diseases globally (e.g. for HIV, HBVHCV, TB); 
  • Understanding how resources available for healthcare systems can be used to generate the greatest health gains for the population they serve (see;

Formerly, I have founded and directed the HIV Modelling Consortium (a network of epidemiologists, statisticians and health-economists focussed on HIV in the highest burden settings) and chaired the UNAIDS Reference Group on Estimates, Modelling and Projections (which reviews and develops the official methods for calculating AIDS statistics). In many areas, I have worked closely with the  Manicaland Centre for Public Health Research.

I am also an Affiliate Professor at the University of Washington, Department of Global Health, chair of the Modelling Guidance Group of The Global Fund and a Fellow of the Academy of Medical Sciences.

I teach on the on-campus MSc Epidemiology and MPH programs and direct the Global Disease Masterclass module of the (online) Global MPH.



Selected Publications

Journal Articles

Whittaker C, Watson O, Alvarez-Moreno C, et al., 2022, Understanding the Potential Impact of Different Drug Properties On SARS-CoV-2 Transmission and Disease Burden: A Modelling Analysis, Clinical Infectious Diseases, Vol:75, ISSN:1058-4838, Pages:e224-e233

Hogan A, Jewell B, Sherrard-Smith E, et al., 2020, Potential impact of the COVID-19 pandemic on HIV, TB and malaria in low- and middle-income countries: a modelling study, The Lancet Global Health, Vol:8, ISSN:2214-109X, Pages:e1132-e1141

Reid MJA, Arinaminpathy N, Bloom A, et al., 2019, Building a tuberculosis-free world: The Lancet Commission on tuberculosis, The Lancet, Vol:393, ISSN:0140-6736, Pages:1331-1384

Heffernan A, Cooke GS, Nayagam S, et al., 2019, Scaling up prevention and treatment towards the elimination of hepatitis C: a global mathematical model., The Lancet, Vol:393, ISSN:0140-6736, Pages:1319-1329

McGillen JB, Sharp A, Honermann B, et al., 2017, Consequences of a changing US strategy in the global HIV investment landscape., AIDS, Vol:31, ISSN:0269-9370, Pages:F19-F23

Nayagam S, Conteh L, Sicuri E, et al., 2016, Community-based screening and treatment for chronic hepatitis B in sub-Saharan Africa - Authors' reply., Lancet Global Health, Vol:5, ISSN:2214-109X, Pages:e35-e35

Nayagam S, Thursz M, Sicuri E, et al., 2016, Requirements for global elimination of hepatitis B: a modelling study, Lancet Infectious Diseases, Vol:16, ISSN:1473-3099, Pages:1399-1408

Eaton JW, Bacaer N, Bershteyn A, et al., 2015, Assessment of epidemic projections using recent HIV survey data in South Africa: a validation analysis of ten mathematical models of HIV epidemiology in the antiretroviral therapy era, Lancet Global Health, Vol:3, ISSN:2214-109X, Pages:e598-e608

Anderson S-J, Cherutich P, Kilonzo N, et al., 2014, Maximising the effect of combination HIV prevention through prioritisation of the people and places in greatest need: a modelling study, The Lancet, Vol:384, ISSN:0140-6736, Pages:249-256

Eaton JW, Menzies NA, Stover J, et al., 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, The Lancet Global Health, Vol:2, ISSN:2214-109X, Pages:E23-E34

Hallett TB, Menzies NA, Revill P, et al., 2014, Using modeling to inform international guidelines for antiretroviral treatment, AIDS, Vol:28, ISSN:0269-9370, Pages:S1-S4

Hallett TB, Eaton JW, 2013, A Side Door Into Care Cascade for HIV-Infected Patients?, JAIDS - Journal of Acquired Immune Deficiency Syndromes, Vol:63, ISSN:1525-4135, Pages:S228-S232

HIV Modelling Consortium Treatment as Prevention Editorial Writing Group, 2012, HIV treatment as prevention: models, data, and questions--towards evidence-based decision-making., PLOS Medicine, Vol:9, ISSN:1549-1277

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