This provides a list of people associated with the WIDER group, and a brief summary of their research interests:
Academic Staff and Independent Research Fellows
Modelling of infectious diseases in humans and animals. Optimal targeting; Spatial spread and Networks; Stochasticity and persistance of infection.
Statistical and mathematical approaches to understanding the biology and control of diseases in farmed animals; translating research into practice.
Transmission dynamics of HIV stages. Dynamics and control of malaria. Prediction and optimal control of helminth infections.
Field epidemiologist and behavioural ecologist of vector and zoonotic infectious diseases.
Prediction and control of livestock diseases, especially foot-and-mouth and avian influenza.
The epidemiology viral pathogens in developing countries, leading to the rational design of control programmes. Determinants of infection dynamics.
Multiple aspects of mathematical biology, including insect behaviour, cell mobility and epidemiology.
Stochastic models for infectious diseases in humans and animals; Bayesian statistics applied to epidemiology, outbreak detection, model selection and uncertainty.
Multi-strain and multi-pathogen systems, HIV, RSV, epidemics on networks and in socially structured populations (age stratification, households, schools, etc.).
Perinatal and paediatric health and methodological concerns surrounding the conduct of economic evaluation alongside randomised controlled trials.
Integrating bacterial population genetics into public health epidemiology; developing and applying epidemiological methods to practical public health problems.
Stochastic simulation modelling of the invasion of novel pest and pathogen species into the English and Welsh honeybee population.
Bayesian Inference, particularly using modern computational statistics techniques such as Markov chain Monte Carlo and Sequential Monte Carlo.
Using high-throughput sequencing, genomics and metagenomics, to dissect the behaviour of bacterial infection and colonisation in humans and animals.
Epidemiological and sequence data for evaluating the micro-evolution and population structure of pathogenic bacteria, e.g. Salmonella enterica.
How microbial communities form and change temporally and spatially; microbial communities (microbiomes) associated with endemic diseases in farm animals.
Post-Docs and Research Fellows
Prediction of risk of bovine tuberculosis infection at herd and individual animal levels.
Part of NTD modelling consortium: Statistical models of Leprosy.
Epidemiology and control of vector borne diseases, specifically visceral leishmaniasis. Running and analysing data from a CRCT in Brazil, testing a novel control for VL.
Modelling spatial spread of infectious diseases; insect vectors; fast epidemic simulation; Stochastic transmission; Optimal control.
Vector-borne disease modelling; effects of vector senescence and bite rate upon disease transmission.
Part of NTD modelling consortium: modelling HAT (sleeping sickness).
Population genetics of livestock associated bacteria at the farm and global level. Impact of host genetics and breeding on disease susceptibility.
Part of NTD modelling consortium: Model fitting and statistics.
Spatial transmission modelling, vector-borne disease modelling.
Part of NTD modelling consortium: mathematical modelling of Visceral Leishmaniasis.
Spatial ecology of seagrass, using a variety of mathematical modelling and statistical tools.
Part of NTD modelling consortium: mathematical modelling of Lymphatic Filariasis.
Cross-scale modelling of foot-rot in the UK; linking foot-level and population-level dynamics.
Dynamics of control and foot-and-mouth disease
Models of foot-and-mouth disease.
Models of within-herd dynamics of bovine tuberculosis.
Epidemiology of human diseases, including schistosomiasis and measles. Aspects of spatial modelling, risk of introduction and eradication.
Modelling the transmission of Escherichia coli O157 in cattle, MCMC inference and model selection.
Respondent driven sampling and spread of infectious diseases on networks.
Dynamics and control of foot-and-mouth disease in Turkey. Interaction of multiple pathogen strains. Implications of livestock movements.
Investigating development and composition of a microbial community in the mammary glands of suckler sheep.
Cross-scale modelling of foot-and-mouth disease. Modelling and control of foot-and-mouth disease in Japan.
Modelling influenza at the human-animal interface. Dynamic models for mood disorders.
Models for gastro-intestinal illness. Syndromic data analysis. Markov Random Field methods.
Identify and evaluate barriers to the adoption of best practice (in management of footrot) by sheep farmers.
Investigating the role of Fusobacterium necrophorum in the severity and persistence of footrot in sheep.
Investigating TB epidemiology in the setting of migration (Birmingham) and how contact tracing impacts on control.
Household models of soil-transmitted helminths. Incorporating numerical analysis of large, sparse, stochastic matrices into gradient MCMC methods.
Models of infection close to the eradication threshold (R0 = 1).
Models and data analysis of modern measles outbreaks, using the 2013 Swansea outbreak as a case study.
See here for past members of the WIDER centre.