Staff | Neal Alexander
The majority of my work is with the Human Hookworm Vaccine initiative. I maintain an interest in malaria, dengue trachoma, lymphatic filariasis, and other diseases. In 1998 I completed a PhD supervised by Bryan Grenfell in the Department of Zoology, University of Cambridge entitled 'Heterogeneity and the Epidemiology of Lymphatic Filariasis'. I also have a BA in Mathematics and a Diploma in Mathematical Statistics from the same university. | | | Simon Brooker
My primary interests are in infectious disease epidemiology, with particular emphasis upon geographical distributions of parasitic diseases (including schistosomiasis, hookworm, malaria and leishmaniasis) and the design and evaluation of control programmes in resource-poor settings. My latest research, funded by the Wellcome Trust, focuses on the epidemiology and spatial ecology of malaria and hookworm co-infection in East Africa, in collaboration with Professor Bob Snow of the Wellcome Trust-KEMRI Collaborative Programme in Kenya. He also has a recent interest in the epidemiology and control of Leishmaniasis in East Africa. I am also deputy editor of the open access journal, PLoS Neglected Tropical Diseases. |  | Zaid Chalabi
My current research focus is on developing mathematical models for health impact and decision analysis. My particular research interests are decision analytical modelling, cost-effectiveness analysis, dealing with variability and uncertainty in mathematical models, and value of information analysis. I have background in mathematical methods of control, optimisation, stochastic modelling and time series analysis applied to biology, medicine and public health. |  | Ruth Chapman
My research focuses on assessing the potential impact of interventions to prevent HIV transmission in adolescents in four African countries. Adolescents are the focus of many interventions to prevent HIV transmission, however dynamics of spread within this group is not fully understood. Understanding patterns of HIV transmission in young people is essential in predicting the future of the HIV epidemic and designing and assessing interventions. In order to do this I will develop rigorously parameterised deterministic mathematical models of HIV transmission that account for individual level variation in the course of HIV infections. These models will be fitted to information from large empirical datasets, and then used to predict the impact of interventions targeting adolescents. |  | Francesco Checchi
For my PhD project I am evaluating retrospectively the impact of programmes to control human African trypanosomiasis (sleeping sickness) due to Trypanosoma brucei gambiense, and using mathematical modelling to predict future impact depending on the control strategy chosen. I am also exploring requirements for possible elimination of sleeping sickness foci. Separately, I am using individual-based modelling to explore the reliability of a new method for estimating mortality in crisis-affected populations under various conditions. The method is based on respondent-driven exhaustive detection of events, and will be field-tested in three sites. | | | Andrew Cox
My main interests are modelling the transmission and/ or within host dynamics of infectious disease. I have recently arrived from the Health Protection Agency, where I was working on a mathematical model of HIV transmission for England and Wales. I am currently based in the HIVTools Research group within the Health Policy Unit where I am working on a collaborative project involving the International Partnership for Microbicides and the LSHTM, "Country Analyses to Accelerate Access to Microbicides by Women in Developing Countries". The study uses epidemiological and economic modelling to estimate the impact of different microbicide introduction strategies in three country settings: India, South Africa and Tanzania. |  | Ken Eames
I'm a mathematical modeller, working mainly on understanding the spread of infection through networks of human contacts. I'm interested in developing accurate modelling approaches, for instance extending pair-approximation methods, and devising data-collection schemes applicable to hard to sample groups such as school children. My areas of particular interest include: heterogeneities in mixing behaviour (including working with weighted networks), clustering of social contacts, and contact tracing as a control tool. |  | Anna Foss
I have been working primarily on mathematically modelling the impact of HIV/STI prevention interventions as part of the HIVTools Research Group. My recent work includes modelling the interaction between herpes simplex virus type 2 (HSV-2) and HIV among female sex workers and their clients in a southern Indian setting, to assess the contribution HSV-2 makes to the HIV epidemic. I am currently conducting modelling related to the microbicide effectiveness trials and potential future distribution strategies. I am also working to develop techniques for conceptualising and responding to uncertainties in the building and parameterisation of models. More recently, I have additionally become involved in the handling of uncertainty in environmental health impact modelling. |  | Alessandra Garbero
My research interests include demographic projections, econometric modelling (specifically modelling the economic impact of HIV/AIDS in developing countries), estimating and assessing the impact of HIV/AIDS on rural population and livelihoods and understanding the interactions between poverty and HIV/AIDS dynamics. My background is in Economics and I specialized in Demography and Research Methods. | | | Alec Miners
My main research area of interest is in the economic evaluation of health care technologies, specifically with regard to decision modelling both for infectious and non-infectious conditions. My research to date has included treatments / management strategies for HIV, haemophilia and a number of different types of cancer, mostly in a UK setting. | | | Katie O'Brien
I am currently working on a project run jointly with the Medical Research Council of Uganda which explores the potential impact of intervention strategies for HIV/AIDS in Uganda. In particular I am interested in developing individual based models. These are useful in capturing the network structure of human relationships and the heterogeneity of partnerships. The models will be fitted to empirical data sets including observational cohorts, randomised trials and other studies. | | | Michael Pickles |  | Peter Vickerman
At present, I am working for the HIVTools Research Group and the Centre for Research on Drugs and Health Behaviour on a number of projects using mathematical models to estimate the impact of prevention interventions on the transmission of HIV, HCV and STIs within different risk populations and settings. I have developed many different epidemiological models of HIV, HCV and STI transmission that can be used to estimate the impact and cost-effectiveness of specific intervention projects. |  | Richard White
So far my research has focussed on the use of mathematical models to understand the spread and control of STI/HIV in developing countries. Recently I've used a statistical model to predict the course of the HIV epidemic in Malawi, a Bayesian approach to estimating the proportion of HIV transmission due to unsafe injections in Uganda and an individual-level model to predict the impact of male circumcision on HIV incidence in East Africa. I am co-organiser of the LSHTM Infectious Disease Modelling Summer Short Course and Infectious Disease Modelling MSc Study Module. |
Honorary LSHTM StaffEmilia Vynnycky
My modelling work has largely been in three key diseases: tuberculosis, influenza and rubella. Since joining HPA in 2003, I've been working on modelling the impact of interventions against pandemic influenza, estimating the basic reproduction number for the 1918 (Spanish) influenza pandemic and the impact of vaccination against seasonal influenza. I am also working on modelling the impact of HIV on the transmission dynamics of M tuberculosis in Malawi in collaboration with colleagues at LSHTM and interventions against tuberculosis as part of the Gates-funded CREATE programme. |
Recently Departed Staff/Students| | Lorenzo Sabatelli
Vaccine and Infectious Disease Institute
Fred Hutchinson Cancer Research Center
1100 Fairview Ave N, LE-400
P.O. Box 19024
Seattle, WA, USA98109-1024
Email
Website |
PhD | Matt Cairns
I am interested in the use of mathematical modelling to investigate different possible strategies to prevent malaria. At present I am using models to determine optimum timing of interventions in areas with seasonal malaria transmission, in particular intermittent preventive treatment. |  | Rein Houben
I'm working on the combined modelling of HIV and Tuberculosis, with the goal to explore the effect of HIV infection on the individual risks of TB disease following recent Mtb (re)infection and reactivation, which should help intervention programmes to focus their efforts. We will validate the model using molecular epidemiological data from the Karonga Prevention Study in Malawi and other sources |
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