Livestock as sentinels for wildlife disease

Pseudo-code for a model written in Python that uses livestock disease surveillance data to make inference on the disease status of sympatric or adjacent living wildlife.

Data and Resources

Additional Info

Field Value
Authors Anderson, Dean P.
Gormley, Andrew M.
Bosson, Mark
Livingstone, Paul G.
Nugent, Graham
Maintainer Dean Anderson
Last Updated November 16, 2017, 10:41 (Pacific/Auckland)
Created October 27, 2017, 14:25 (Pacific/Auckland)
Publisher Landcare Research NZ Ltd
Publication Year 2017
DOI doi:10.7931/J2PC30J2