• No results found

Preventing CSF re-emergence: a continuous challenge

N/A
N/A
Protected

Academic year: 2021

Share "Preventing CSF re-emergence: a continuous challenge"

Copied!
35
0
0

Loading.... (view fulltext now)

Full text

(1)

Preventing CSF re-emergence:

a continuous challenge

Dr Frank Koenen

CODA-CERVA-VAR

(2)

CSF characteristics

„

Virus characteristics

„ Small enveloped RNA virus

„ Member of Genus pestivirus with BVDV and BDV

„

Disease characteristics

„ Clinical picture has changed from acute to sub-acute or even subclinical

„ An isolate can induce different clinical pictures

„

Last 20 years only sporadic epidemics

in domestic pigs (EU 15)

(3)

Economical impact

„

Economic and socio-economic impact is very high worldwide.

„

1993-94 epidemic: 21.4 millon € for outbreaks and 130 million € for

market support

„

1997 epidemic: 10 million pigs

slaughtered, total costs 1 billion €

„

2006: small outbreak: 120.000 pigs

culled

(4)

Detection-Monitoring- Intervention strategy

„

Detection:

„ Clinical detection can be difficult

„ Laboratory detection:

• IF, VI, ELISA, real time PCR

„

Monitoring:

„ Sampling schemes are available

„

Intervention strategy:

„ Modified live vaccine (C-strain)

„ Sub-unit marker vaccine

„ Stamping out

(5)

High risk period (HRP) High risk period (HRP)

Country Year Estimated HRP-1 (weeks)

United Kingdom 1986 4

The Netherlands 1997 6

Belgium 1993 3

Germany 1997 8

Spain 1997 9

Elbers

Elbers et al., 1999et al., 1999

(6)

Introduction - Transmission

„ In contrast to an unknown emerging disease a lot of information is available.

„ Factors and circumstances affecting introduction:

Animal trade, including import of wildlife

Geographical proximity

Tourists

Hunters

Tourist-illegal import of food

Swill

„ Factors influencing spread and transmission:

Oro-Nasal contact

Animal transport

Intense trade (no vertical structure)

High pig density (air?)

Semen

People

Poor hygiene and lack of biosecurity

(7)

Will CSF re-emerge?

Pr ob ab ly y es !

(8)

Why?

(9)

Why?

„ Historical cycle:

„ 9 years

„ Presence worldwide

„ Changing factors

(10)

CSF in the world

(11)

CSF in Europe

(12)

Changing factors

„

Farming and trading system

„

Contact structures

„

Wildlife management

„

Geo political decisions influencing trade structures

„

Increased awareness of bio

security

(13)

CSF in Wild boar

(14)

Wild boar population

ƒ Population increased dramatically during the last decades

ƒ Wild boar density is recognised as one of the most relevant risk factors for CSF

ƒ 80% of the first outbreaks of CSF in

domestic pigs in regions where CSF is

endemic in Wild boar

(15)

Oral vaccination with C-strain

CSF control strategies in wild boar

Hunting

Unclear strategy When? Before or after outbreak?

Where? Which region?

Frequency? Once, multiple?

(16)

Backyard pigs

ƒFreerange:

ƒPigs spend the day looking for food (cultivated corn, bulbs, fruit-trees, garbage) and water

ƒWhen they come back home in the morning they are feeded with a small portion of corn or waste.

(17)

Backyard pigs

ƒImportant economical factor in new member states.

ƒHome consumption: from 1 to 15 pigs. It is a production for family consumption and usually it consists of one pig or, in the best cases, two sows with their piglets.

ƒSmall producers: from 16 to 40 pigs. It is a production for the family consumption and to sell the leftovers..

(18)

Backyard pigs

ƒSanitary status:

ƒCSF is endemic

ƒAsymptomatic carriers (CSF, PRRS)

ƒReservoirs of parasitic, zoonotic diseases

ƒManagement:

ƒNot individually identified

ƒAny kind of registration

ƒNo possibility to measure birth, mortality or morbidity rates

ƒVaccination program:

ƒNot all the individuals in the population are vaccinated.

(19)

How to avoid

re-emergence?

(20)

Increase knowledge

„

Decrease HRP

„

Database

„„

Mathematical disease spread models Mathematical disease spread models can provide appropriate tools for:

can provide appropriate tools for:

„„ Disease vigilanceDisease vigilance

„„ Evaluating control optionsEvaluating control options

Estimate the number of infected farms after a Estimate the number of infected farms after a CSF introduction

CSF introduction

Estimate the effect of different herd types on Estimate the effect of different herd types on disease spread

disease spread

Make predictions about the expected Make predictions about the expected geographical distribution of infections geographical distribution of infections

„

Live marker vaccine

(21)

Decrease HRP

Personal Digital Assistant (PDA) with data-entry screen (Elbers)

ƒImprove early detection:

ƒEducation

ƒHand computer

(22)

Data transfer

Intake of data in e- mail message by Computer-server at University of Utrecht

GPRS

Data in e-mail

attachment sent by PDA via Internet

Calculation of CSF-probability on PC (in future on PDA)

Possibility for sending back CSF- probability to practitioner within minutes after

receiving clinical data

Farm

(23)

Central CSF Data Base Central CSF Data Base

(data, questionnaires, web server)

Laboratories Departments

Districts

Ministries (BMVEL) Scientific Institutes Competent „Land“ Authorities

Ministries

Departments Districts

Age Virolo gy

Virus Vaccina tion

Serolo gy

EU Data base

(24)

2004

Domestic pigs: 0 Wild boar: 3

Domestic pigs: 11 Wild boar: 451 2002

Follow up of CSF

(25)

Ribbens and Dewulf

Modelling

(26)

Ribbens and Dewulf

Results-’hobby’

(27)

Ribbens and Dewulf

Results-’regular’

(28)

Ribbens and Dewulf

Results-’High contact’

(29)

Wild boar Management: Hunting

(30)

Wild boar Management: Vaccination (20%)

(31)

Wild boar Management: vaccination (40%)

(32)

ƒ In a single population with < 1000 to 1500 wild boar:

ÆThe disease will fade out.

ƒ Random interaction Hunting + Vaccination:

Æ Endemic evolution in 4% of the cases

Conclusions CSF management in wild boar

ƒ Optimal vaccination condition:

ƒ

Start vaccination at 150 days after virus infection

ƒ Immunize at least 40% of all susceptible animals

ƒ Hunting should NOT exceed 45% of the whole population

(33)

Live Marker Vaccine development

„

New candidate selected for application in wild boar

„

Several other chimera and back up available

Æ Possibility to study vaccine characteristics

„

Evaluation towards vaccine:

„ Formulation of the product as a vaccine for oral application

„ Safety studies

„ Potency studies

„ Onset of immunity

(34)

Conclusions

„ Known agent:

„ Preparedness in order to limit the HRP:

Education

Monitoring

Real time exercise

„ But!

„ Situation changes

„ New threats

„ Available tools change or can be adapted

„ Research:

„ Improve existing tools

„ Develop new tools

„ Update the knowledge concerning environmental changes

(35)

References

Related documents

In this study, the in− fluence of the extract from the radix of Scutellaria baicalensis on the activity of ALT manifested itself as an increase in the activity of this enzyme in

The pathogen–host interaction database (PHI-base) is a web-accessible database that catalogues experimentally verified pathogenicity, virulence and effector genes from bacterial,

Since we found differences in RMiner , and Eclipse and NetBeans in Section 3.3 , some refactoring implementations of Eclipse and NetBeans are different (Section 3.2 ), and

Georgia have to the airporter marin schedule from san francisco airport transportation services, which services between seven passengers and apps or facebook on election day..

In light of the research questions, do the items included on the survey measure what the study is investigating: The practices and perceptions of students in Catholic high

Results: We observed significant inhibition of b -hexosaminidase release in RBL-2H3 cells and suppressed mRNA expression and protein secretion of IL-4 and IL-5 induced by

The aim of this study is to measure the incidence and risk factors for HSV-2 infection in women followed for 9 months after childbirth.. Methods: Pregnant women were

In this pilot study on a small collection of 25 patients from routine diagnostics, a complete set of tumour biology data, including a protein assay of uPA and PAI-1 and a multigene