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Models for managing wildlife disease

Published online by Cambridge University Press:  18 August 2016

HAMISH McCALLUM Open the ORCID record for HAMISH McCALLUM [Opens in a new window]
HAMISH McCALLUM*
Affiliation:
Environmental Futures Research Institute and Griffith School of Environment, Griffith University Nathan campus, 170 Kessels road, Nathan, Queensland 4111, Australia
*
*Corresponding author. Environmental Futures Research Institute and Griffith School of Environment, Griffith University Nathan campus, 170 Kessels road, Nathan, Queensland 4111, Australia. E-mail: h.mccallum@griffith.edu.au
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Summary

Modelling wildlife disease poses some unique challenges. Wildlife disease systems are data poor in comparison with human or livestock disease systems, and the impact of disease on population size is often the key question of interest. This review concentrates specifically on the application of dynamic models to evaluate and guide management strategies. Models have proved useful particularly in two areas. They have been widely used to evaluate vaccination strategies, both for protecting endangered species and for preventing spillover from wildlife to humans or livestock. They have also been extensively used to evaluate culling strategies, again both for diseases in species of conservation interest and to prevent spillover. In addition, models are important to evaluate the potential of parasites and pathogens as biological control agents. The review concludes by identifying some key research gaps, which are further development of models of macroparasites, deciding on appropriate levels of complexity, modelling genetic management and connecting models to data.

Keywords

Modellingwildlife diseaseTasmanian devilvaccinationculling
Type
Special Issue Review
Information
Parasitology , Volume 143 , Special Issue 7: Mathematical modelling of infectious diseases , June 2016 , pp. 805 - 820
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Copyright
Copyright © Cambridge University Press 2015 

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