session 2b – risk mitigation

50
Session 2b – Risk Mitigation Sophie ROSSI (DVM, MS, PHD) Office National de la Chasse et de la Faune Sauvage (National Wildlife & Hunting Agency) France International Workshop on Feral Swine Disease and Risk Management November 18-20th, 2014, Fort Collins, Colorado, USA

Upload: others

Post on 18-Jan-2022

13 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Session 2b – Risk Mitigation

Session 2b – Risk Mitigation

Sophie ROSSI (DVM, MS, PHD) Office National de la Chasse et de la Faune Sauvage

(National Wildlife & Hunting Agency) France

International Workshop on Feral Swine Disease and Risk Management November 18-20th, 2014, Fort Collins, Colorado, USA

Page 2: Session 2b – Risk Mitigation

• EFSA (12th December 2008) Annex to The EFSA Journal (2008) 932, 1-18 and 933, 1-16

Control and eradication of Classic Swine Fever in wild boar

http://www.efsa.europa.eu/en/scdocs/doc/ahaw_report_csf_en.pdf

• EFSA (17th March 2014) - EFSA Journal 2014;12(3):3616 [23 pp.]

Evaluation of possible mitigation measures to prevent introduction and spread of African swine fever virus through wild boar

http://www.efsa.europa.eu/en/efsajournal/pub/3616.htm

• EWDA (European section of the WDA) workshop Uppsala 6-7th March 2014 Workshop: African swine fever in wild boar

https://sites.google.com/site/ewdawebsite/conferences-meetings

• OIE and CIC workshop Paris 30th June/1st July 2014

Early detection and prevention of African Swine Fever

• APHIS, OIE, UC workshop Fort Collins 18-20th November 2014

Early detection and prevention of African Swine Fever

Acknowledgements Thanks to many experts involved

Page 3: Session 2b – Risk Mitigation

OUTLINE

1. Objectives & options of risk management

2. Managing the interface with target species

Farms biosecurity, meat safety, public awareness

3. Managing pathogen dynamics

Hunting hygiene/viscera, Vaccination

4. Managing wildlife populations

Reducing Numbers: targeted culling, large scale

Limiting the risk of spread: translocation, Feed, fencing

5. Conclusions & perspectives

Page 4: Session 2b – Risk Mitigation

OUTLINE

1. Objectives & options of risk management

2. Managing the interface with target species

Farms biosecurity, meat safety, public awareness

3. Managing pathogen dynamics

Hunting hygiene/viscera, Vaccination

4. Managing wildlife populations

Reducing Numbers: targeted culling, large scale

Limiting the risk of spread: translocation, Feed, fencing

5. Conclusions & perspectives

Page 5: Session 2b – Risk Mitigation

Sus scrofa x sus scrofa

CSF and ASF

Aujeszky’s disease

Brucellosis

Trichinellosis, VHE

Tuberculosis

1. Objectives & options of risk mitigation

Surveillance?

Epidemiology?

Spill over to target?

Cost-efficacy?

Other stakes?

Page 6: Session 2b – Risk Mitigation

1. Objectives & options of risk mitigation

Population dynamics Limit disease spread and persistence Reduce the number of susceptible in order to break the chain of transmission Population destruction :stamping out

Pathogen dynamics Mitigate spread, prevalence and persistence in wildlife (control/eradiction)

Interface

Reduce the risk of pathogen transmission to target species…

Page 7: Session 2b – Risk Mitigation

1. Objectives & options of risk mitigation

Population dynamics • depopulation • fencing • feed ban

Pathogen dynamics • viscera, carcass • introduction of live animals or trophies • vaccination

Interface • Farms biosecurity

• Hygiene of carcasses

• Public, hunters, farmers awareness

Page 8: Session 2b – Risk Mitigation

OUTLINE

1. Objectives & options of risk management

2. Managing the interface with target species

Farms biosecurity, meat safety, public awareness

3. Managing pathogen dynamics

Hunting hygiene/viscera, Vaccination

4. Managing wildlife populations

Reducing Numbers: targeted culling, large scale

Limiting the risk of spread: translocation, Feed, fencing

5. Conclusions & perspectives

Page 9: Session 2b – Risk Mitigation

2. Managing the interface

0 1 - 500 501 - 1500 1501 - 4000 4001 - 1000010001 - 18500

Importance de l'élevage plein air dans le département

Analyse croisée des données sanglier et porcs plein air

165 19 1

Tableaux de chasse sanglier

(Rossi et al. 2008, DGAL animal health services & ANSES)

Brucella suis biovar 2 and Aujeskzy in open air farms (France)

Agricultural biosecurity

Page 10: Session 2b – Risk Mitigation

2. Managing the interface

• Compulsory screening of reproducers

• Fences as a condition of compensation in case of outbreaks (from 2005…limited efficacy)

• Questionnaires to farmers (DGAL) fences of reproductive sows

Agricultural biosecurity

Page 11: Session 2b – Risk Mitigation

Assessment of wild boar / domestic pig interactions through the use of questionnaires in Corsica

Ferran Jori, UPR AGIRS, CIRAD GARA Meeting, Pretoria 10-14th, Noviembre 2014

Role of wildlife in Uganda

(Suiform newsletter,

C. Masembe pers com)

Page 12: Session 2b – Risk Mitigation

Barasona et al. 2013. Effectiveness of cattle operated bump gates and exclusion fences in preventing ungulate multi-host sanitary interaction. Prev Vet Med 111: 42-50

Fencing

Data shows a decreasing trend in cattle TB incidence, after separating cattle from wildlife at the waterholes

2. Managing the interface Agricultural biosecurity

Page 13: Session 2b – Risk Mitigation

2. Managing the interface Agricultural biosecurity

Source: CIR

EV

(source: ONCFS)

• PHD 2011-2014: identification of key factors of contacts (ONCFS, Payne, 2014)

• Operational program (regional vet services): pasture vulnerability (CIREV)

TB in France

Page 14: Session 2b – Risk Mitigation

2. Managing the interface Meat & Hunting biosecurity

• Carcass inspection by vets (+trichinellosis)

• Hunters training to self protection and detection of anormalities (TB)

• Public awareness (sanitary hazard, cook meat & viscera)

• Dogs / consumption of viscera & meat

Page 15: Session 2b – Risk Mitigation

OUTLINE

1. Objectives & options of risk management

2. Managing the interface with target species

Farms biosecurity, meat safety, public awareness

3. Managing pathogen dynamics

Hunting hygiene/viscera, Vaccination

4. Managing wildlife populations

Reducing Numbers: targeted culling, large scale

Limiting the risk of spread: translocation, Feed, fencing

5. Conclusions & perspectives

Page 16: Session 2b – Risk Mitigation

3. Managing pathogen dynamics Viscera/carcass collection and destruction

To collect and destroy in specialized facilities

• Not easy to perform

• Safety of transportation and storage?

• Saturation of the local storage solutions

• Costly (who pays?)

Page 17: Session 2b – Risk Mitigation

Local destruction/inactivation

• big initial investement (hunters)

• practicaibility studies running

• deployment in several regions

(Eva Faure,

National French Hunters Federation)

3. Managing pathogen dynamics Viscera/carcass collection and destruction

Page 18: Session 2b – Risk Mitigation

CSF In Europe • Impact on pig farming and trade • Wild reservoir: low virulent strain and large populations • Management in pig # wild boar

Oral mass vaccination (OMV) • Old but efficient live-vaccine: C strain • Oral baits and deployment (1-3*40 baits/km²) • Efficacy in theory and field • Efficacy of baiting (food availability, age classes) • Confusing effect on monitoring

Vaccination

3. Managing pathogen dynamics

Page 19: Session 2b – Risk Mitigation
Page 20: Session 2b – Risk Mitigation
Page 21: Session 2b – Risk Mitigation

Vaccination

3. Managing pathogen dynamics

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

0.9

T12005

T3 T12006

T3 T12007

T3 T12008

T3 T12009

T3 T12010

T3 T12011

T3 T12012

T3 T12013

T3 T12014

seroprevalence 0-1 anseroprevalence > 1an

Page 22: Session 2b – Risk Mitigation

Hypotheses a priori Bayesian model

Iterative process between observed data and model

Observed data : hunted wild boar (2007-2010) ~30 000

a posteriori distribution of the probability of 1st immunisation

seroconversion of piglets out of the vaccination periods

Modelling during OMV

Page 23: Session 2b – Risk Mitigation

• Questionnaire to hunters o Number of questionnaires and participation: 8613 (559 hunters)

o Major problems: cold in wintertime, no wild boar

o Factors of heterogeneity: season*(crops + oak mast) « border effect »

0.20

0.30

0.40

0.50

0.60

0.70

0.80

0.90

AUTUMN WINTER SPRING

OAK MAST

FOREST

OAK&CROPS

CROPS

% UPTAKE

Vaccination

3. Managing pathogen dynamics

Page 24: Session 2b – Risk Mitigation
Page 25: Session 2b – Risk Mitigation

13504 min of presence at feeders

39.26% Wild boar

56.37% Birds

1.65% Carnivores

1.65% Deer

1.07% Other

Vaccination: safety

Beltrán-Beck et al. 2014 CVI

Vaccination

3. Managing pathogen dynamics

TB in Spain (C. Gortazar)

Page 26: Session 2b – Risk Mitigation

Vaccination: first field data!

Díez-Delgado et al. (this meeting)

• Heat-inactivated vaccine better than BCG • 89% reduction in lesion score (**) • 88% reduction in M. bovis growth (**)

Vaccination

3. Managing pathogen dynamics

TB in Spain (C. Gortazar)

Page 27: Session 2b – Risk Mitigation

OUTLINE

1. Objectives & options of risk management

2. Managing the interface with target species

Farms biosecurity, meat safety, public awareness

3. Managing pathogen dynamics

Hunting hygiene/viscera, Vaccination

4. Managing wildlife populations

Reducing Numbers: targeted culling, large scale

Limiting the risk of spread: translocation, Feed, fencing

5. Conclusions & perspectives

Page 28: Session 2b – Risk Mitigation

4. Managing wildlife population

Wildlife are not Domestic animals • WB # pig flocks = uncontrolled, unknown numbers • Movements and dynamics are free and reactive • Complex heterogeneous mixing (social, landscape) • Management policy # livestock!!!

#

sick

Reducing numbers

Page 29: Session 2b – Risk Mitigation

« environment »

Density-dependance

Frequency-dependance

Non-homogeneous mixing

R0<1

4. Managing wildlife population

Page 30: Session 2b – Risk Mitigation

Reducing number through hunting/destruction • Targeted culling or stamping out • Threshold for disease eradication

Thresholds are not easy to determine

• Most of time threshold is unknown (ASF) • Not a straightforward relation (CSF) • Differences between diseases • Differences between situations for a given disease

4. Managing wildlife population Reducing numbers

Page 31: Session 2b – Risk Mitigation

Piacenza (It)

Ln (hunting bags)

(400) (1100) (3000) (8100)

(4.5

)(1

2.2)

(33.

1)

Lunigiana (It)

Basse-Saxe (Ge)

Varese (It)

Poméranie (Ge)

Brandenbourg (Al)Maremme (It)

Vosges (F)(90.

0)

Ln

(Num

ber

of m

onth

s w

ith v

irus

isol

atio

n)

Piacenza (It)

Ln (hunting bags)

(400) (1100) (3000) (8100)

(4.5

)(1

2.2)

(33.

1)

Lunigiana (It)

Basse-Saxe (Ge)

Varese (It)

Poméranie (Ge)

Brandenbourg (Al)Maremme (It)

Vosges (F)(90.

0)

Ln

(Num

ber

of m

onth

s w

ith v

irus

isol

atio

n)

Piacenza (It)

Ln (hunting bags)

(400) (1100) (3000) (8100)

(4.5

)(1

2.2)

(33.

1)

Lunigiana (It)

Basse-Saxe (Ge)

Varese (It)

Poméranie (Ge)

Brandenbourg (Al)Maremme (It)

Vosges (F)(90.

0)

Ln

(Num

ber

of m

onth

s w

ith v

irus

isol

atio

n)

Ln (hunting bags)

(400) (1100) (3000) (8100)

(4.5

)(1

2.2)

(33.

1)

Lunigiana (It)

Basse-Saxe (Ge)

Varese (It)

Poméranie (Ge)

Brandenbourg (Al)Maremme (It)

Vosges (F)(90.

0)

Ln

(Num

ber

of m

onth

s w

ith v

irus

isol

atio

n)

(Ge)

Rossi et al. (2005) Rev. Epidemiol. Infect.

CSF persistence related to population size > density (~landscape dimension)

Page 32: Session 2b – Risk Mitigation

Area at risk • Old story running from at least 90’s • Large area (>3000 km²) • Landscape based monitoring and management

2001

2002

2004

2006

2005 2007

border

motorway A4 Rhin river

Sarre river

2009

forest

10 Km

FRANCE

GERMANY

2003

Reducing numbers

4. Managing wildlife population

Page 33: Session 2b – Risk Mitigation

Density-dependance: differences among diseases Brucellosis << Aujeszky << Tuberculosis (Spain)

~Freq. Dep. ~Intermed. ~Dens. Dep.

Threshold for diseases control depends on the disease TAujeszky << TTuberculosis (Spain)

Reducing numbers

4. Managing wildlife population

Page 34: Session 2b – Risk Mitigation

Density-dependance: differences among areas and management: Aujeszky

ANSES 2011 scientific opinion proposed a threshold of wild boar density for TB maintenance

« 10 wild boar/km² before hunt »

Reducing numbers

4. Managing wildlife population

Page 35: Session 2b – Risk Mitigation

Poor reliability of abundance indexes • Large scale

• Hunting statistics: available at large scale, biased • Damages (crops, car): available at large scale, biased • Landscape modelling : on going research (validation)

• Local (studies scale) • Capture-mark-recapture estimates: small areas * • Distance-sampling: small scale, landscape limitation * • Scat counts: small scale, landscape limitation * • Census: variable, medium/small scale, biased • Camera-traps: on going research • Indirect/relatives indexes: on going research

NO VALIDATED TOOL FOR ESTIMATING ABUNDANCE AND COMPARING AREAS OR TREATMENTS!!!

4. Managing wildlife dynamics Reducing numbers

Page 36: Session 2b – Risk Mitigation

Limited tools for population control

• Wild boar ecology • Hunting disturbance & disease spread! • Immediate demographic response • Selection of most productive sows?

• Hunting is not culling • Limited hunting pressure (30-50%) • Hunters’ acceptance

Reducing numbers

4. Managing wildlife population

Page 37: Session 2b – Risk Mitigation

4. Managing wildlife dynamics Reducing numbers

Aerial shooting (B. Cowled) • Effective in suitable habitat (semi-arid) and away from

urban areas • Relatively expensive • Good for disease surveillance/sampling as well • Very humane if well regulated and training

Page 38: Session 2b – Risk Mitigation

Reducing numbers

Poison baiting efficient (B. Cowled) • Effective and inexpensive • Manufactured baits or field prepared • Meat or grain based • Aerial or ground deployment • Welfare a concern • 1080 most common, sodium nitrite in development Poison questionable in native

ranges Safety for non target species Ethics and acceptance (native species, hunting economy)

4. Managing wildlife population

Page 39: Session 2b – Risk Mitigation

4. Managing wildlife dynamics Reducing numbers

Contraceptive • Research programs (no deployment) • Modelling • Important effort and cost • Safety to non target species • Ethics and acceptance (hunting & public)

Trapping efficacy is limited • Limited spatially and lower efficacy • Trap-shyness & food availability • Important effort and cost

Page 40: Session 2b – Risk Mitigation

Feeding wild boar?

Baiting is helpful…

Protection of crops Increasing Hunting efficacy Deliver vaccines

…but feeding is a risk factor

Source of contamination Aggregation increasing contacts Intensive management/dynamics

Feeding ban?

Proposed inside infected areas Not always satisfactory

Feed ban

4. Managing wildlife population

Page 41: Session 2b – Risk Mitigation

Fencing wild boar

• Fences may limit spread • What is a fence for wild boar? • Fencing existing barriers

• Fencing wildlife is questionable

• Never 100% efficient • Practicability of large scale fences? • Green corridors

Siat & al 2010

Klar et al. 2006

Fencing

4. Managing wildlife population

Page 42: Session 2b – Risk Mitigation
Page 43: Session 2b – Risk Mitigation

Recent use of repellent,feeding, hunting ban, fences for preventing ASF spread

(Wahis, OIE, November 2014)

(Dr Masiulis, OIE, Paris, July 2014)

Fencing

4. Managing wildlife population

Page 44: Session 2b – Risk Mitigation

Hunting enclosure, translocations, swill feeding

4. Managing wildlife population

(Saint-andrieux & al. 2012)

(Hars & al 2014)

(European Communities)

Increased risk in hunting enclosures (#farms) • Number of enclosure is increasing

• Recent outbreak of TB in WB and RD

• Rish analysis ANSES SA-2014-0049 (in prep.)

Page 45: Session 2b – Risk Mitigation

OUTLINE

1. Objectives & options of risk management

2. Managing the interface with target species

Farms biosecurity, meat safety, public awareness

3. Managing pathogen dynamics

Hunting hygiene/viscera, Vaccination

4. Managing wildlife populations

Reducing Numbers: targeted culling, large scale

Limiting the risk of spread: translocation, Feed, fencing

5. Conclusions & perspectives

Image CSF & TB

Page 46: Session 2b – Risk Mitigation

• Good management of population?

• NOT ALL DISEASES are DENSITY DEPENDENT • THRESHOLD MOSTLY UNKNOWN • Intensive culling through aerial shooting& poison (pest vertebrate) • Targeted culling possible in closed/small areas (Boadella et al. 2013)

• Hunting disturbance aggravating SPREAD during outbreaks • To limit feeding and intensification “extensive” feeding • Stabilizing populations through qualitative hunting (Gamelon&al2012)

SOCIAL DIMENSION !!!!

Wild swine management

5. Conclusions & perspectives

Page 47: Session 2b – Risk Mitigation

• How to prevent disease introduction & spread • Hunters/public/farmers training • EARLY WARNING at a global scale • Notification/awareness of translocations • Viscera and carcass hygiene • VACCINATION as possible additive tool

Pathogen management

5. Conclusions & perspectives

Page 48: Session 2b – Risk Mitigation

Interface management

5. Conclusions & perspectives

• How to live with wildlife diseases?

• Public, farmers, hunters awareness

• Biosecurity in farms: a recurrent TABOO topic

• Good practices and integrative/participative approches

SOCIAL DIMENSION !!!!

Page 49: Session 2b – Risk Mitigation

Conclusions & perspectives 3. Research needs!

• Research need

• NEW TOOLS for monitoring wild swine ABUNDANCE (#density) • MANAGEMENT of wild swine • QUANTIFYING INTERFACE with pastures/farms • Experimental approaches (ex: feed ban, pasture mgt) • Integrative/participative approaches NEW TOOLS • Social acceptance & collaboration with LOCAL stakeholders

Page 50: Session 2b – Risk Mitigation

Thanks for your attention!