Imperial College London

ProfessorTimothyHallett

Faculty of MedicineSchool of Public Health

Professor of Global Health
 
 
 
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Contact

 

+44 (0)20 7594 1150timothy.hallett

 
 
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Location

 

Norfolk PlaceSt Mary's Campus

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Summary

 

Summary

 

I am based at the Department of Infectious Disease Epidemiology. My work with the Applied HIV Epidemiology research group centres on the development and application of mathematical models for interpreting surveillence data, analyzing control trials and planning interventions. The overall aim of this research is to come to conclusions about the optimal use of limited resources in the response to HIV epidemic worldwide. 

 

I direct the HIV Modelling Consortium, which is a network epidemiologists, mathematical modellers and health-economists. I also work with UNAIDS and the Reference Group on Estimates, Modelling and Projections in developing the methods for calculating international AIDS statistics.

 

I serve on the PEPFAR Scientific Advisory Board and am a member of the editorial board of PLoS Medicine 

 

I co-direct the MSc course in Epidemiology and lecture on the Department's short course on Infectious Disease Modelling. 

 

I am also an Affiliate Associate Professor at the University of Washington, Department of Global Health.

 

 

Resources:

Estimating Incidence Spreadsheet (AIDS, 2010)

Child Mortality Bias Estimation Model (Bulletin WHO, 2010)

 

 

Publications

Journals

Selinger C, Bershteyn A, Dimitrov DT, et al., 2019, Targeting and vaccine durability are key for population-level impact and cost-effectiveness of a pox-protein HIV vaccine regimen in South Africa., Vaccine, Vol:37, Pages:2258-2267

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

Borquez A, Guanira JV, Revill P, et al., 2019, The impact and cost-effectiveness of combined HIV prevention scenarios among transgender women sex-workers in Lima, Peru: a mathematical modelling study, Lancet Public Health, Vol:4, ISSN:2468-2667, Pages:E127-E136

Mangal TD, Meireles MV, Pati Pascom AR, et al., 2019, Determinants of survival of people living with HIV/AIDS on antiretroviral therapy in Brazil 2006-2015, Bmc Infectious Diseases, Vol:19, ISSN:1471-2334

Mangal TD, Pascom ARP, Vesga JF, et al., 2019, Estimating HIV incidence from surveillance data indicates a second wave of infections in Brazil., Epidemics

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