Cost‐based optimization of the stopping threshold for local disease surveillance during progressive eradication of tuberculosis from New Zealand wildlife

• Published in: Transboundary and emerging diseases Vol. 65; no. 1; pp. 186 - 196
• Main Authors: Gormley, A. M., Anderson, D. P., Nugent, G.
• Format: Journal Article
• Language: English
• Published: Germany Hindawi Limited 01-02-2018
• Subjects: Agricultural land; Animal diseases; Computer simulation; Costs; Decision making; disease surveillance; economic decisions; Epidemiology; Infections; Livestock; Marsupials; New Zealand; Optimization; Population control; possum control; Risk reduction; Surveillance; TB eradication; Tuberculosis; Wildlife; Wildlife management; New Zealand; New Zealand; economic decisions; TB eradication; disease surveillance; possum control
• ISSN: 1865-1674; 1865-1682
• DOI: 10.1111/tbed.12647

Summary
Bovine tuberculosis (TB) is managed in New Zealand largely via population reduction of the major wildlife disease reservoir of Mycobacterium bovis, the introduced brushtail possum Trichosurus vulpecula. New Zealand aims to eradicate M. bovis infection from its livestock and wildlife within 40 years, as the culmination of progressive regional eradication programmes. Declarations of regional eradication are decided after extensive possum population control and post‐control surveillance; hence, we developed a modelling framework, based on eco‐epidemiological simulation data, to provide cost‐evaluated options for deciding when to make these declarations. A decision‐support framework evaluated potential costs of wildlife surveillance (and recontrol, if required) with respect to the calculated probability of successful eradication of M. bovis from wildlife. This enabled expected costs to be predicted in terms of stopping thresholds, allowing selection of optimal stopping rules based on minimizing costs. We identified factors that could influence optimal stopping values applied during regional eradication. Where vector/disease surveillance was inexpensive (for example, using low‐cost detection devices or sentinel wildlife hosts) optimization involved setting a higher rather than lower stopping value, as it would be cheaper to minimize the risk of making a false declaration of eradication than to remedy any such failure. In addition, any cost of recontrol would largely depend on the time to rediscovery of residual M. bovis infection in wildlife, which would in turn be linked to the level of ongoing passive surveillance (with more rapid detection of re‐emergent infection among wildlife in farmland situations than in remote forested regions). These two scenarios would favour different optimal stopping rules, as would the consideration of stakeholder confidence and socio‐political issues, which are discussed. The framework presented here provides guidance to assess the economics underlying eradication of bovine TB from New Zealand farming; this eliminates reliance upon a pre‐determined and uniform stopping rule for ceasing active management.