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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
Address
Western Bank
S10 2TN Sheffield
United Kingdom
 

Participants (4)

ROYAL TROPICAL INSTITUTE
Netherlands
Address
63,Mauritskade 63
1092 AD Amsterdam
 
THE NATURAL HISTORY MUSEUM
United Kingdom
Address
Cromwell Road The Natural History Museum
SW7 5BD London
 
UNIVERSITE CATHOLIQUE DE LOUVAIN
Belgium
Address
Place L. Pasteur 3 Mercator
1348 Louvain-la-neuve
 
UNIVERSITY OF MANCHESTER
United Kingdom
Address
Oxford Road
Manchester