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![Page 1: Tom Kompas Australian Centre for Biosecurity and Environmental Economics Crawford School of Economics and Government Australian National University .](https://reader036.fdocuments.net/reader036/viewer/2022062518/56649e4f5503460f94b47463/html5/thumbnails/1.jpg)
Tom Kompas Australian Centre for Biosecurity and
Environmental Economics
Crawford School of Economics and GovernmentAustralian National University
www.acbee.anu.edu.au
.
![Page 2: Tom Kompas Australian Centre for Biosecurity and Environmental Economics Crawford School of Economics and Government Australian National University .](https://reader036.fdocuments.net/reader036/viewer/2022062518/56649e4f5503460f94b47463/html5/thumbnails/2.jpg)
The Problem
Close proximity between countries and international trade and tourism increases the probability of an incursion and the spread of exotic diseases and pests; ones that can do great harm, and in some cases can be potentially devastating to local industry, animal and human health, and the environment.
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Traditional Measures• Pre-border measures and border quarantine (i.e.,
preventing a potential incursion at the border). • Limits on imports• Airport inspections, and inspections of shipping
containers and contents
• Local surveillance programs (preventing spread in the local environment).
• Screening and local awareness• Surveillance traps (e.g., insects)• Blood screening and visual inspection
• Containment and eradication programs.
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The Economic Puzzle
How much should be spent, or what costs should be incurred, for pre-border measures and border quarantine, surveillance and containment/eradication activities to protect human, plant and animal health as well as the environment? How to allocate resources across various threats?
• Ban imports and close airports?• Spend $0 on quarantine and surveillance?• Spend all of GDP on quarantine and surveillance?• Eradicate? Contain? Neither?• How to allocate resources across various threats?
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A Simple Spread Model for an Invasive
Time
Q(N)
Infected (N)
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Containment and EradicationThe role of cost-benefit analysis (CBA) after an incursion,
or for a potential incursion
Time
Infected (N)
A
Note: The potential size of benefits depend on size of initial entry and the choice of early detection, for a given eradication/containment exercise.
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Time
Q(N)
Infected (N)
Border Quarantine Measures
Quarantine Expenditures E(N)
Zero entryZero entry
Zero entryZero entry
E(N)
N
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Surveillance Expenditures S(N)
Earliest DetectionEarliest Detection
S(N)
Natural DetectionNatural Detection
Local Surveillance Measures
N
Time
Q(N)
Infected (N)
Earliest detection
Optimal ‘Early Detection’
S(N) Natural Detection Point
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Surveillance Example: Foot-and-Mouth Disease (FMD)
• Foot and Mouth disease (FMD) is a highly contagious disease of susceptible cloven-hoofed animals.
• FMD hosts are typically cattle, sheep and swine, but also can occur in domestic and water buffalos, goats, yaks and zebras.
• The 2001 outbreak in the UK: 8 months of eradication; the losses: about $5 billion in the food and agricultural sectors and comparable amounts in the tourism industry. (GAO 2202)
• Estimates of a potential outbreak in California range form $4.3 to $13.5 billion USD. (Ekboir 1999)
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• Incursion, biological and economic parameters: the United States General Accounting Office (GAO 2002) and Bates et al. (2001, 2003a, 2003b).
Incursion: 1 in 30 year event. Natural detection: 4000 herds. Maximum expenditure: 2000 blood tests (200 current); $82.9 million ($8.29 million current). Average production loss per head: 0.224; trade and tourism: 0.1 and 0.005 Eradication zone: 8 times radius of infected infected herds; eradication and vaccination parameters: 0.018 and 0.00296. Minimum trade ban: 24 weeks, beta is .008
• Sensitivity tests: probability of incursion; growth of transmission, density growth, eradication zone, average production loss.
FMD Surveillance (cont)
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0 500 1000 1500 2000 2500 3000 3500 40004250
4500
4750
5000
5250
5500
5750
6000
6250
6500
6750
7000
7250
7500
Number of infected herds
Millio
n U
SD
Optimal Surveillance Grid and Expenditures (FMD)
Optimal: 405 potentially infected herds and S*(h) = $43m/year(US)
Current USA: $8.29m/year and 2000 potentially infected herds
Natural detection is 4000 herds
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Surveillance Example: Papaya Fruit Fly (PFF) in Australia
• PPF attacks fruit and habitat, and in early stages is difficult to detect by inspection (boarder quarantine is limited and ineffective).
• Largest risk of entry: via the Torres Strait Islands and at ports of entry.
• ‘Current’ surveillance grid: 1 trap for every 6,200 km2, 1,878 traps in total, Current Expenditures = $1,380,000 (including the program’s fixed costs).
• 1995 outbreak in QLD: $43m in eradication and management costs over a 13 month period.
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Optimal Surveillance Grid and Expenditures (PFF)
Optimal: one trap per 2,000 km2 and S*(h) = $3m/year(AUS)
Current: $1.38m/year: Current surveillance grid: 6,200 km2