|Human activities are resulting in widespread land use change. The presence of disease vectors, and hence the diseases they carry, is dependent on land use as each vector inhabits a particular environment . We will build a predictive model of disease risk, using Thailand and mosquito-borne diseases as a model system, that will allow public health resources to be deployed more effectively. A multi-disciplinary approach is required. Data on land use change from remote sensing, epidemiology, and mosquito ecology and distributions will be collected in a co-ordinated manner in a three-year study in northwestern Thailand. The predictive model will incorporate the causal links between land use and disease: the mosquito vector; socio-economic factors and human behaviour. Deliverables include a general methodology for disease risk prediction and evidence-based public health policy advice for Thai and neighbouring country authorities.