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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. -
Black swan egg harvest experiment data
Data on black swan egg-laying rates, egg hatching probability, and overall nest hatching success associated with different customary egg harvest regimes implemented at Te... -
Multiple capture trap data
Data and spatial model for assessing effectiveness of using multiple and single capture traps. The data support an article in PLoS ONE: Warburton, B., & Gormley, A. M.... -
Bio-economic optimisation of surveillance to confirm broadscale eradications...
Python computer code for a 2-stage bio-economic model to identify optimal cost-efficient surveillance strategies for assessing progress and ultimately declaring success of...