Bio-economic optimisation of surveillance to confirm broadscale eradications of invasive pests and diseases

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 broadscale eradications. Computer code used in study described in a paper:

Anderson, D.P., Gormley, A.M., Ramsey, D.S.L. et al. Bio-economic optimisation of surveillance to confirm broadscale eradications of invasive pests and diseases. Biol Invasions (2017) 19: 2869.

Data and Resources

Additional Info

Field Value
Authors Anderson, Dean P.
Gormley, Andrew M.
Ramsey, David S. L.
Nugent, Graham
Martin, Peter A. J.
Bosson, Mark
Livingstone, Paul
Byrom, Andrea E.
Maintainer Dean P. Anderson
Last Updated July 16, 2018, 14:14 (NZST)
Created September 26, 2016, 13:09 (NZDT)
Link to paper http://dx.doi.org/10.1007/s10530-017-1490-5
Publisher Landcare Research NZ Ltd
Publication Year 2016
Start Date 2016-09-26
End Date 2016-09-26
DOI https://doi.org/10.7931/J22N506H