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Sow Herd Monitoring Tools in PRRSv Control Programs PRRS Diagnostic and Control Workshop Thessaloniki, Greece. August, 2012 Jose Angulo DVM Boehringer Ingelheim Animal Health GmbH – Global PRRS Solutions [email protected]

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Sow Herd Monitoring Tools in PRRSv Control Programs

PRRS Diagnostic and Control WorkshopThessaloniki, Greece. August, 2012

Jose Angulo DVM

Boehringer Ingelheim Animal Health GmbH – Global PRRS Solutions

[email protected]

Outline

PRRSv Sow herd stability

Measurement tools

Applications (sharing field examples)

PRRS control / Sow Herd Stability

Prevent Infection

Maximize Herd Immunity

Minimize Exposure

Definition: Absent of clinical signs attributed to PRRSv and NO EVIDENCE of resident virus circulation within the population. = Weaning PCR negative pigs.*

*Gillespie(2003), Dufresne (2004)

First milestone in PRRSv control: To Achieve Sow Herd Stability

Using dx test as monitoring tool

Goal of testing

Accuracy and Confidence level

Cost of the sampling and testing

Frequency of the sampling Vs size sampling

Characteristics of the test (Sp,Se)

Using ELISA IDEXX Herd Check

Commercial kit (Standard)

Reliable and well implemented across D-Labs.

Costless vs PCR

Keep in mind: Measure Exposure, NO

protection. Consistent absent of

anamnesic Ab response in present of complete protection vs disease ( ab ≠ protection)

Unable to differentiate Field exposure vs Vaccine

Seropositive pigs become seronegative overtime or following repeated vaccination

Murtaugh (2005)

Measuring sow herd stabilization

Serum Profiles. • ELISA (IDEXX Herd Check) measures exposure.

– Population test– SP value average (>0.4 +)– SP value Standard Variation StD– % Positive

Reduce Resident virus circulation within Sow Herd & Weaning negative pigs.

Gradual (%)

Understanding the serological picture with ELISA Idexx

Comportamiento Serologico Hembras de Reemplazo Inoculo Vivo (LVI)

-0.4000

-0.2000

0.0000

0.2000

0.4000

0.6000

0.8000

1.0000

D0/A

D0/B

D0/C

D0/D

D0/E

D0/F

D0/G

D0/H

D0/I

D0/J

D0/K

D0/L

D28/A

D28/B

D28/C

D28/D

D28/E

D28/F

D28/G

D28/H

D28/I

D28/J

D28/K

D28/L

D77/A

D77/B

D77/C

D77/D

D77/E

D77/F

D77/G

D77/H

D77/I

D77/J

D77/K

D77/L

Des

viac

ion

Est

and

ar

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

% P

osi

tivo

s

DS % Pos Poly. (DS)

Days in GDU D0 D28 D77Standard Dev 0.004 0.652 0.476

Replacement naive gilts batches LVI in GDU (n=35)

Angulo, Private practice, 2003

Understanding the serological picture with ELISA Idexx

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

0

0,5

1

1,5

2

2,5

3

2003 2004 Apr 05 Okt 05

Po

st

sp

Seguimiento perfiles serologico hato

Prom s/p Dev. Stand. % Positivos

  2003 2004Abril-

05Octubre -

05

SP Avg2.393

a

0.848b 0.575b 0.422b

Stand Dev 1.015 0.622 0.989 0.319

% Positive 100 70 57 57

Sow herd serum profile monitoring along the line with MLV mass vaccinations.

Angulo, IPVS proceedings, 2006

n=35 (Parity structure)

Applying quality tools in the analysis: Box Plot.

Data exploration tool to analyze and find trends and relationships identifying unique characteristics of the data analyzed. Facilitating its description and interpretation.

Daniel (2004). Biostats, 4th ed.

0

1

2

3

4

SP

PR

RS

Hato

agost 07 Feb-08

Fecha

agost 07

Feb-08

Level

0

0

Minimum

0.114795

0.395297

10%

0.440744

0.944963

25%

0.944229

1.743764

Median

1.658523

2.620429

75%

2.356496

3.028118

90%

2.896979

4.027211

Maximum

Quantiles

agost 07

Feb-08

Level

60

60

Number

1.11777

1.74107

Mean

0.785800

0.978845

Std Dev

0.10145

0.12637

Std Err Mean

0.9148

1.4882

Lower 95%

1.3208

1.9939

Upper 95%

Means and Std Deviations

Oneway Analysis of SP PRRS Hato By Fecha

NWA Quality Analyst Software

JMP Software

Using Box Plot in Serology Profiles

321

4

3

2

1

0

Data

Boxplot of 1, 2, 3

Information about: Shape, Dispersion and Center of the data. » Central Tendency» Dispersion stats» Skew» Outlying

Measurements» Quick look at expected

values

Smallest Value

25th Percentile

50th Percentile

75th Percentile

Median

Mean

Largest Value

Interval coefficient

Outlier

MINITAB, 2012

Sow Herd PRRSv serology

Based on Median and Quartiles

s/p

Hato reproductor Vx PRRS Ma

Pre Vx PRRS

Samples Mean Std. Dev. Target

70 1.03543 1.18679 0.4

70 0.369097 0.417897 0.4

PRRS_MARZO_08

PRRS_HR_AGO08

Variable

0 0.5 1 1.5 2 2.5 3 3.5 4

SpecsTarget

PRRSv Serology after PRRSv program implementation

0

1

2

3

4

5

6

SP

PR

RS

Siti

o 5

hato

7-Jun Dic 07

Mes

7-Jun

Dic 07

Level

0.046

0.186

Minimum

0.409

0.413

10%

0.9145

0.689

25%

1.932

1.311

Median

3.848

1.748

75%

4.7236

1.9088

90%

5.617

2.375

Maximum

Quantiles

7-Jun

Dic 07

Level

37

35

Number

2.38370

1.26434

Mean

1.62982

0.60027

Std Dev

0.26794

0.10146

Std Err Mean

1.8403

1.0581

Lower 95%

2.9271

1.4705

Upper 95%

Means and Std Deviations

Oneway Analysis of SP PRRS Sitio 5 hato By Mes

PRRSv Serology: Outbreak Recovery picture (4,500 sows)

Based on Median and Quarti les

Mean Std. Dev. Minimum MaximumConf Level

1.019 0.740294 0.027 2.988 95

1.69907 1.5696 0.054 4.296 95

2.17 0.414104 0.996 2.771 95

1.13127 0.602007 0.193 2.204 95

0.628467 0.469602 0 1.745 95

S_J_I_NOV_04

S_J_I_ENE_05

S_J_I_MAR_05

S_J_I_JUL_05

S_J_I_NOV_05

Variable

0 0.511.5 22.5 3 3.54 4.5

SpecsTarget

PRRSv Serology: Outbreak picture

Based on Median and Quartiles

48% post

74% post

57% post

71% post

79% post

72% post

Mean Std. Dev. Minimum Maximum Conf Level

0.627769 0.639422 0 3.045 95

0.853828 0.568553 0.09 2.11 95

0.641371 0.516166 0 1.805 95

0.837429 0.581574 0.092 2.112 95

0.899152 0.688371 0.103 2.842 95

2.02106 2.13882 0 7.488 95

SP_ABR05

SP_SEP05

SP_FEB06

SP_SEPT_06

SP_ABR_07

SP_JUL_07

Variable

0 1 2 3 4 5 6 7 8

SpecsTarget

Monitoring control strategies

Based on Median and Quartiles

% pos 96.6

% pos 94.2

% pos 94.2

% pos 68.5

% pos 83

Mean Std. Dev . Minimum MaximumConf Level

1.63167 0.810751 0.25 3.07 95

1.64286 0.951137 0.2 3.64 95

1.55743 0.785521 0.25 3.07 95

1.01923 0.863162 0 3.6081 95

0.9045710.465189 0.195 1.884 95

SP_DIC03

SP_MAY 04

SP_JUL_04

SP_FEB_06

SP_JUL_06

Variable

0 0.5 1 1.5 2 2.5 3 3.5 4

SpecsTarget

Context: • 2,000 sows

FF farm.• Mass Vx

every 6 months (04).

• 2006 Mass Vx every 3 months.

Angulo, AMVEC, 2006

Home take messages

Tools for measuring sow herd stability are available

Understanding of diagnostic tests is critical

Add all measurements to bring the general picture

Link tools with goals

Simple tools like Box Plot can add value to the analysis, interpretation and decision making process.» Statistic Software or Excel!!

Thanks for your attention