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Content archived on 2024-05-23

Predicting the risks of mosquito-borne diseases from land use change

Objective

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 coordinated 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.

Call for proposal

Data not available

Coordinator

UNIVERSITY OF SHEFFIELD
EU contribution
No data
Address
Western Bank
S10 2TN SHEFFIELD
United Kingdom

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Total cost
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Participants (4)