Bovine Tb suppression systems G Nugent, D. Anderson, A. Gormley, P. Holland, M. Barron Landcare Research, P.O. Box 40, Lincoln, New Zealand.

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Bovine Tb suppression systems G Nugent, D. Anderson, A. Gormley, P. Holland, M. Barron Landcare Research, P.O. Box 40, Lincoln, New Zealand

Outline Progress in reducing TB –Switch from control to eradication When to stop –Need to ‘prove’ freedom’ Resource allocation problem –Control vs surveillance conundrum Implications for TB management –‘Proof of concept’ eradication case study

Progress in reducing TB 10 mill ha with TB-infected wildlife But >95% reduction in TB- infected herds since 1994 Just 69 Infected herds in March 2011

New aims Success has driven a major change in NPMS- TB goals From: Meeting OIE ‘TB freedom’ requirements -Infected Herd Period Prevalence ≤ 0.2% To: Achieving true eradication of TB - Domestic and wild animal populations become and remain biologically free of M bovis infection

New imperative Direct economic loss from TB now small (< $1m p.a.) Not economically sensible to spend $84m p.a. to save such a small amount High risk that NPMS support may wane before TB fully eradicated? => Crucial that eradication is achieved as swiftly and as cheaply as possible

Specific Eradication Objective Eradicate TB from wild animals over 2.5 m ha by 2026 –25% of wildlife-TB area Must quickly ‘prove’ that TB can be eradicated from large forest tract with a long history of infection – Two ‘Proof of Concept’ areas designated (Hokonui (SI) and Hauhungaroa (NI) Ranges By 2015/16: –Stakeholders want significant measurable progress towards achieving eradication, especially in the Proof of Concept areas, and efficiencies in vector control

Proof of Freedom Model Pest Control History Spatial Possum Model Possum/Sentinel Surveillance Model Livestock Surveillance Model Possums P(Free) Livestock P(Free) Area-wide P(Free) Wildlife SurveillanceLivestock Surveillance prior Independent evidence LR has developed a quantitative framework for calculating the probability of TB eradication

Key Question When it is safe to stop vector control (and TB testing) –But ‘proving’ Tb is gone, with high confidence, requires expensive surveillance  Key question is when to shift funding from control to surveillance  Too soon, and $$ wasted showing Tb still present  Too late and $$ wasted on unnecessary control

Resource allocation framework Each activity increases the estimate of TB eradication probability But surveillance often does not change actual probability

Resource allocation (2) POF uses multiple information sources History of control TB survey of possums Tb survey of sentinels Herd testing Q: Where is funding best spent?

Eradication proof of concept trial Hauhungaroa Ranges ( ) Compare speed & cost effectiveness of 4 approaches 1.Standard (conventional broadcast aerial 1080) trap-catch monitoring, sentinel (pig and deer) Tb survey 2.Low cost standard (cluster aerial 1080) trap-catch monitoring, sentinel (pig and deer) Tb survey 3.Targeted low cost aerial 1080 Low intensity mapping and surveillance of possums 4.Ground-based detection & mop up Intensive control & surveillance of possums

1. Standard broadcast aerial 3-4 aerial operations at about 5-yearly intervals, with possum abundance assessment plus sentinel (deer and pig) surveys of TB prevalence Likely to be highly effective –Assuming ultra-low RTCI’s (<0.5%), v high predicted probability of eradication from possum model –But relatively little surveillance data (pig and deer sentinel only) to empirically confirm TB absence. => can we really believe the model predictions?

2. Low-cost cluster aerial 3-4 aerial operations at c 5-yr intervals, but low-cost ops after the first one – again w. possum abundance assessment plus sentinel (deer and pig) surveys of TB prevalence Also likely to be highly effective –Assuming low RTCI’s (<2.0%), still high predicted probability of eradication from possum model –But again relatively little surveillance data (pig and deer sentinel only) to empirically confirm TB absence. => Lower cost but less confidence in predictions

Options 1 & 2 rely on ‘overkill’ - making sure TB has been eradicated by driving the actual probability of TB persistence to miniscule levels Expensive and risks failure if control is not complete Control focussed options

Assumptions vs Real World Predicted Actual Year after maintenance control TB prevalence Caley P.; Hickling G.J.; Cowan P.E.; Pfeiffer D.U Effects of sustained control of brushtail possums on levels of Mycobacterium bovis infection in cattle and brushtail possum populations from Hohotaka, New Zealand. New Zealand Veterinary Journal Model assumes good even control In reality, there can be gaps in coverage -Famous Hohotaka blackberry patch -Impossible to quantify this risk => Need for over-kill or empirical surveillance back-up

3. Targeted cluster aerial 3-4 aerial operations at c 5-yr intervals, but ultra-low- cost ops after the first one – targeted only at areas with possums –Later ops cover < 50% of area (v low aerial cost) –Targeted used ground-based mapping with chew cards –Still high predicted probability of eradication –Mapping provides more direct possum surveillance data (plus pig and deer sentinel) to empirically confirm TB absence.

Pre-control Chew Card mapping

Targeting aerial cluster CC data used to identify create ‘possum risk’ strata –Areas with few or no possums left out of aerial –Possums can be trapped and necropsied for TB

4. Ground-based detection & mop up Initial knockdown by aerial (at least two aerial ops), then detection & mop up (DMU) for 5-6 years -Includes possum (as well as deer and pig) surveillance -Control efficacy low (cf aerial) but enough to prevent possum increase and further reduce TB persistence. Lowest predicted probability of eradication But abundant possum surveillance data (+ pig + deer) to empirically confirm TB absence.

Surveillance focussed options Options 3 & 4 aim to do just enough to eradicate TB then gather evidence to show TB has gone Potentially low cost, less aerial 1080, and faster, but surveillance largely wasted Tb still present

Summary New Eradication objective is quickly driving a major change in how pests are managed for TB; From: Putting most resources into killing possums to reduce TB To: Putting much more effort into TB surveillance (as well) to achieve and show Tb freedom => Information gathering will become more important than pest control in areas close to being Tb free