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

Project information

Grant agreement ID: QLK2-CT-2000-01787

  • Start date

    1 October 2000

  • End date

    30 September 2005

Funded under:

FP5-LIFE QUALITY

  • Overall budget:

    € 2 089 701

  • EU contribution

    € 1 800 000

Coordinated by:

UNIVERSITY OF SHEFFIELD

United Kingdom

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.

Coordinator

UNIVERSITY OF SHEFFIELD

Address

Western Bank
S10 2tn Sheffield

United Kingdom

Participants (4)

ROYAL TROPICAL INSTITUTE

Netherlands

THE NATURAL HISTORY MUSEUM

United Kingdom

UNIVERSITE CATHOLIQUE DE LOUVAIN

Belgium

UNIVERSITY OF MANCHESTER

United Kingdom

Project information

Grant agreement ID: QLK2-CT-2000-01787

  • Start date

    1 October 2000

  • End date

    30 September 2005

Funded under:

FP5-LIFE QUALITY

  • Overall budget:

    € 2 089 701

  • EU contribution

    € 1 800 000

Coordinated by:

UNIVERSITY OF SHEFFIELD

United Kingdom