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

Appendix S1: Stage I bio-economic modelpy
Python computer code for the Stage I bio-economic model to identify optimal strategies for deploying surveillance effort over space and time that minimised the total expected costs.
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Appendex S2: Stage II bio-economic modelpy
Python computer code for the Stage II bio-economic model
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Additional Info

Field	Value
Theme
Author	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
Maintainer Email	Dean P. Anderson
Source
Source Created	Unknown
Source Modified	Unknown
Language	English
Spatial
Source Identifier

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

Organisation

Manaaki Whenua – Landcare Research

Manaaki Whenua – Landcare Research is New Zealand’s foremost environmental research organisation. It specialises in sustainable management of land resources optimising primary...

License

Creative Commons Attribution 4.0 International