project

NERP TE Project 11.2 - Improved approaches for detection of disease and prevention of spread in Torres Strait, 2011-2014 (JCU)


Provided by   eAtlas

Research Project

Researchers: Australian Institute of Marine Science (Associated with) ,  Australian Institute of Marine Science (AIMS) (Associated with) ,  Susan Laurance (Point of contact, principalInvestigator) ,  eAtlas Data Manager (publisher, Point of contact)

Full description This project focuses on improving methods to detect the introduction of exotic animal diseases into the Torres Strait. The researchers will examine the environmental factors that influence the establishment and persistence of wildlife diseases in the region. They will study insect disease vectors and the incidence of disease in birds in a range of habitats in order to identify where disease risk is greatest. Field studies will be conducted using replicated mosquito trapping and mist netting of birds in Torres Strait, at sites identified from previous projects. Outcomes include: 1. Developing a model of disease dynamics across the Torres Strait based on past and ongoing epidemiology and ecological studies on vectors, reservoir hosts and known disease prevalence including the influence of inter-island and PNG traffic on insect vectors. 2. Undertake a fieldwork program that tests and improves upon our understanding (the model) of how diseases are maintained and dispersed across the islands. 3. Use the results to identify appropriate responses for minimizing the risks associated with disease incursion. 4. Develop capacity in north Queensland in the identification and sampling of vectors and diseases

Notes Credit
This project was funded by the Australian Government's Department of Agriculture, Water and the Environment through the National Environmental Research Program Tropical Ecosystems Hub with co-investment from project partners and collaborators.

Data time period: 2011-07-01 to 31 12 2014

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142.65633,-9.42212 142.59732,-9.40968 142.59822,-9.38509 142.6745,-9.36622 142.65633,-9.42212

142.63590733723,-9.3941666662836

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  • global : b03125eb-176c-45d2-9e47-bd07fad0f96a
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OPEN Creative Commons Attribution 4.0 International License View details

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Creative Commons Attribution 4.0 International License

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ACN 633 798 857