糖心TV

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.

Prof Mark Pallen

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.