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Risk-based Sampling Perspective from Different EU and Non-EU Member States Risk Based Sampling | May 2016 1 Jenny Scott: Senior Advisor to the Director of the Office of Food Safety at FDA’s Center for Food Safety and Applied Nutrition. Akos Jozwiak: Vice-director at the Hungarian National Food Chain Safety Office Annemarie Pielaat: Senior researcher at the Dutch Institute for Public Health and the Environment (RIVM)

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Page 1: Risk Based Sampling · Risk Based Sampling A public health perspective from The Netherlands Annemarie Pielaat Jurgen Chardon, Lucas Wijnands, Ellen Delfgou, Angelina Kuijpers, Aarieke

Risk-based Sampling Perspective from Different EU and Non-EU Member States

Risk Based Sampling | May 2016 1

Jenny Scott: Senior Advisor to the Director of the Office of Food Safety at FDA’s Center for Food Safety and Applied Nutrition.

Akos Jozwiak: Vice-director at the Hungarian National Food Chain Safety Office

Annemarie Pielaat: Senior researcher at the Dutch Institute for Public Health and the Environment (RIVM)

Page 2: Risk Based Sampling · Risk Based Sampling A public health perspective from The Netherlands Annemarie Pielaat Jurgen Chardon, Lucas Wijnands, Ellen Delfgou, Angelina Kuijpers, Aarieke

The presenters ● Akos Jozwiak:

– Head of the coordination working group on planning of sampling plans, supervising different sampling programs from soil and plant protection to plant and animal health, feed and food domains.

– Presentation: theoretical background of the planning process at central authority level with practical and organizational examples, problems identified and solutions provided recently.

● Jenny Scott:

– Technical lead of the team that developed the new Preventive Controls for Human Food rule, with a risk-based approach to control of food hazards.

– Presentation: risk-based microbial sampling by industry as part of a food safety system. FDA’s approach to its risk-based sampling including data use. (prepared in conjunction with Dr. Yuhuan Chen (RA at FDA).

● Annemarie Pielaat:

– Project manager for different research projects in food safety RA.

– Presentation: Development of a risk based sampling program for the Netherlands Food and Consumer Product Safety Authority (NVWA)

Risk Based Sampling | May 2016 2

Page 3: Risk Based Sampling · Risk Based Sampling A public health perspective from The Netherlands Annemarie Pielaat Jurgen Chardon, Lucas Wijnands, Ellen Delfgou, Angelina Kuijpers, Aarieke

Risk Based Sampling

A public health perspective from The Netherlands

Annemarie Pielaat

Jurgen Chardon, Lucas Wijnands, Ellen Delfgou, Angelina Kuijpers, Aarieke de Jong, Eric Evers

Risk Based Sampling | May 2016

Page 4: Risk Based Sampling · Risk Based Sampling A public health perspective from The Netherlands Annemarie Pielaat Jurgen Chardon, Lucas Wijnands, Ellen Delfgou, Angelina Kuijpers, Aarieke

Introduction

● Netherlands Food and Consumer Product Safety Authority (NVWA)

● Monitoring program occurrence microorganisms on food products

● Insight in public health risk caused by foodborne pathogens

Risk Based Sampling | May 2016 4

Optimization of program through risk based sampling

Page 5: Risk Based Sampling · Risk Based Sampling A public health perspective from The Netherlands Annemarie Pielaat Jurgen Chardon, Lucas Wijnands, Ellen Delfgou, Angelina Kuijpers, Aarieke

Approach

● Optimization of monitoring foodborne pathogens for public health risk estimates

● Input variables:

– Prevalence, concentration microorganisms

– Consumption figures food products & food handling by consumers

– Disease burden

– Sampling costs

● Definition of Risk based sampling

*DALY: Disability Adjusted Life Year (Havelaar et. al, 2012) is a consistent, quantitative measure to compare the disease burden of different foodborne pathogens

Risk Based Sampling | May 2016 5

Distribute the NVWA sampling capacity over retail products proportional to their contribution to the DALY’s*

Page 6: Risk Based Sampling · Risk Based Sampling A public health perspective from The Netherlands Annemarie Pielaat Jurgen Chardon, Lucas Wijnands, Ellen Delfgou, Angelina Kuijpers, Aarieke

Methodology

Risk Based Sampling | May 2016 6

Distribute the NVWA sampling capacity over retail products proportional to their contribution to the DALY’s

Optimizing criterion: (C * D) / B(A) expressed as costs per DALY

A. Exposure assessment Pathogen prevalence and concentration at time of purchase, food preparation and amount consumed

B. Attribution to DALY’s Distribute DALY’s on pathogen-product group over products proportional to exposure

C. Sampling Initial prevalence to assess the number of samples needed for each product

D. Costs Personnel and analysis costs

Page 7: Risk Based Sampling · Risk Based Sampling A public health perspective from The Netherlands Annemarie Pielaat Jurgen Chardon, Lucas Wijnands, Ellen Delfgou, Angelina Kuijpers, Aarieke

Case studies

Initial pathogen product combinations of interest to NVWA

● Salmonella on pork meat

● Campylobacter on pork meat and on poultry meat

● Toxoplasma on pork meat

● Shiga toxin-producing Escherichia coli (STEC) O157 on beef

Risk Based Sampling | May 2016 7

Page 8: Risk Based Sampling · Risk Based Sampling A public health perspective from The Netherlands Annemarie Pielaat Jurgen Chardon, Lucas Wijnands, Ellen Delfgou, Angelina Kuijpers, Aarieke

Exposure Assessment

● Based on swift QMRA tool with deterministic calculations (Chardon and Evers, 2016)

● Changes in numbers of micro-organisms on food products

Retail Storage Preparation Exposure

Risk Based Sampling | May 2016 8

Chardon and Evers

Page 9: Risk Based Sampling · Risk Based Sampling A public health perspective from The Netherlands Annemarie Pielaat Jurgen Chardon, Lucas Wijnands, Ellen Delfgou, Angelina Kuijpers, Aarieke

Risk Based Sampling | May 2016 9

Using fit-for-purpose models from sQMRA • Time / temp dynamics • D/z inactivation models • …

P re - retail processing

F ood product

- Consumption data

- prev/conc pathogens

-reduction due to

smoking/salting/drying/cooking/heating

Consumer storage

- fractions

room/fridge/freezer

- storage times

- growth/inactivation

Cross cont - amination

- CC fractions

- CC transfer rate

Heating - Raw consumed products

- Heating Model

- fraction meat balls / raw / medium / done

- D/z inactivation data

- heating time and temp

Exposure No. contaminated portions at consumption and total no. of micro-organisms ingested (pop.n year-1)

Page 10: Risk Based Sampling · Risk Based Sampling A public health perspective from The Netherlands Annemarie Pielaat Jurgen Chardon, Lucas Wijnands, Ellen Delfgou, Angelina Kuijpers, Aarieke

Attribute DALY’s to Exposure

Risk Based Sampling | May 2016 10

Food product Exposure* DALYs

Pork, chops, rib 1.6E+03 6.1E+01

Ham, raw 1.1E-01 4.3E-03

Bacon, smoked 1.9E-02 3.7E-03

Sausage, BBQ 1.8E+02 6.9E+00

… … …

*No. contaminated portions at consumption and total number of micro-organisms ingested (pop.n year-1 )

Page 11: Risk Based Sampling · Risk Based Sampling A public health perspective from The Netherlands Annemarie Pielaat Jurgen Chardon, Lucas Wijnands, Ellen Delfgou, Angelina Kuijpers, Aarieke

Sampling

Risk Based Sampling | May 2016 11

● NVWA does not monitor DALYs but prevalences for pathogen-product combinations

Mean pathogen prevalences (%) in the Netherlands in retail 2010-2013.

Pathogen / food animal

combination

Fresh

meat

Meat

product Source

STEC beef&veal 1,31 3,88 A

STEC mutton/lamb 6,69 3,44 A

Salmonella pork 0,97 1,29 A

Campylobacter pork 0,37 0,16B A

Toxoplasma pork 0,90C 0,90C Zomer et al. (2014)

Campylobacter chicken 27,38 11,60 Zomer et al. (2014)

A: data from the NVWA. B: no measurements available, calculated using ratio for chicken

(0,37*11,6/27,38); C: based on serological prevalence in slaughter house.

Page 12: Risk Based Sampling · Risk Based Sampling A public health perspective from The Netherlands Annemarie Pielaat Jurgen Chardon, Lucas Wijnands, Ellen Delfgou, Angelina Kuijpers, Aarieke

Sampling ● Link Sampling with

Prevalence

● How many samples are needed to estimate prevalence within defined uncertainty

● Basic principle:

Numbers based on

one positive sample

Number of samples with number of positives

Uncertainty about prevalence estimate slowly

Risk Based Sampling | May 2016 12

PATH.-PRODUCT RETAIL PRODUCT NO PORTIONS DALYs PREVALENCE

Campy-pork Pork, spare rib (SH 786) 2,5E+06 0,0 0,37%

Campy-pork Pork, fricandeau 1,1E+07 0,0 0,37%

Campy-pork Pork, silverside 5,7E+07 0,1 0,37%

Campy-pork "rotterdammertje" 7,5E+05 0,1 0,16%

Campy-pork Salami 2,3E+08 29,7 0,16%

Campy-pork "Worst, met" 5,9E+07 8,1 0,16%

Campy-poultry Chicken n.s. 5,0E+07 15,3 27,38%

Campy-poultry Chicken, wing 2,7E+07 16,2 27,38%

Campy-poultry Chicken, leg 4,6E+07 46,4 27,38%

Salm-pork Dried sausages n.s. 4,8E+07 5,3 1,29%

Salm-pork Cervelaat 2,7E+08 13,2 1,29%

Salm-pork "rotterdammertje" 7,5E+05 0,1 1,29%

STEC-beef Salami 2,3E+08 0,9 3,88%

STEC-beef Roasted meat, cold n.s. 1,3E+07 0,0 3,88%

STEC-beef Filet americain 3,2E+08 12,8 3,88%

Toxopl-pork "Worst, paling" 4,8E+07 0,0 0,90%

Toxopl-pork Dried sausages n.s. 4,8E+07 76,4 0,90%

Toxopl-pork Cervelaat 2,7E+08 185,0 0,90%

Toxopl-pork "Worst, chorizo" 2,0E+07 28,3 0,90%

… … … … …

Exposure

Page 13: Risk Based Sampling · Risk Based Sampling A public health perspective from The Netherlands Annemarie Pielaat Jurgen Chardon, Lucas Wijnands, Ellen Delfgou, Angelina Kuijpers, Aarieke

Sampling

Risk Based Sampling | May 2016 13

PATH.-PRODUCT RETAIL PRODUCT NO PORTIONS DALYs PREVALENCE

Campy-pork Pork, spare rib (SH 786) 2,5E+06 0,0 0,37%

Campy-pork Pork, fricandeau 1,1E+07 0,0 0,37%

Campy-pork Pork, silverside 5,7E+07 0,1 0,37%

Campy-pork "rotterdammertje" 7,5E+05 0,1 0,16%

Campy-pork Salami 2,3E+08 29,7 0,16%

Campy-pork "Worst, met" 5,9E+07 8,1 0,16%

Campy-poultry Chicken n.s. 5,0E+07 15,3 27,38%

Campy-poultry Chicken, wing 2,7E+07 16,2 27,38%

Campy-poultry Chicken, leg 4,6E+07 46,4 27,38%

Salm-pork Dried sausages n.s. 4,8E+07 5,3 1,29%

Salm-pork Cervelaat 2,7E+08 13,2 1,29%

Salm-pork "rotterdammertje" 7,5E+05 0,1 1,29%

STEC-beef Salami 2,3E+08 0,9 3,88%

STEC-beef Roasted meat, cold n.s. 1,3E+07 0,0 3,88%

STEC-beef Filet americain 3,2E+08 12,8 3,88%

Toxopl-pork "Worst, paling" 4,8E+07 0,0 0,90%

Toxopl-pork Dried sausages n.s. 4,8E+07 76,4 0,90%

Toxopl-pork Cervelaat 2,7E+08 185,0 0,90%

Toxopl-pork "Worst, chorizo" 2,0E+07 28,3 0,90%

… … … … …

SAMPLES

540

540

540

1250

1250

1250

6

6

6

153

153

153

50

50

50

220

220

220

220

k n d

1 1250 0,16%

1 540 0,37%

1 220 0,90%

1 205 0,97%

1 153 1,29%

1 151 1,31%

1 56 3,45%

1 50 3,85%

1 28 6,67%

1 16 11,11%

1 6 25,00%

Page 14: Risk Based Sampling · Risk Based Sampling A public health perspective from The Netherlands Annemarie Pielaat Jurgen Chardon, Lucas Wijnands, Ellen Delfgou, Angelina Kuijpers, Aarieke

Costs ● NVWA budget: e.g. €225,000.-

● Catch maximum number of DALYs for minimum budget

● Optimization criterium:

● Sort on Costs per DALY (min max)

Risk Based Sampling | May 2016 14

What is the best sampling strategy from a public health perspective within this budget?

Pathogen/ Product

Source Costs*

Campylobacter

Fresh meat Pork 17,-

Fresh meat Poultry 50,-

Meat product Pork 15,-

Meat product Poultry 30,-

STEC

Fresh meat Beef/Veal 25,-

Meat product Beef/Veal 37,-

Fresh meat Mutton/Lamb 52,-

Meat product Mutton/Lamb 35,-

Salmonella

Fresh meat Pork 20,-

Meat product Pork 21,-

Toxoplasma

Fresh meat Pork 100,-

* € Per sample, incl admin #Samples • Costs DALYs

Page 15: Risk Based Sampling · Risk Based Sampling A public health perspective from The Netherlands Annemarie Pielaat Jurgen Chardon, Lucas Wijnands, Ellen Delfgou, Angelina Kuijpers, Aarieke

Results

Top 26

pathogen-product combinations

for sample analysis

maximised for DALYs as measure for

public health risk

Risk Based Sampling | May 2016 15

TOP ID foodnum pathogen/matrix VCP-product DALY's Prevalentie

Aantal

monsters

Totale

kosten

Kosten/

DALY

Cumulatieve

kosten

Cumulatieve

aantal

monsters

1 149 0863 1. Campy-kip Kip filet 579,28 27,38% 6 € 505 8,72E-01 € 505,0 6

2 146 0860 1. Campy-kip Kip poot 46,41 27,38% 6 € 505 1,09E+01 € 1.010,1 12

3 147 0861 1. Campy-kip Kip drumstick 41,69 27,38% 6 € 505 1,21E+01 € 1.515,1 18

4 155 0870 1. Campy-kip Kip braadstuk 39,50 27,38% 6 € 505 1,28E+01 € 2.020,1 24

5 151 0865 1. Campy-kip Kip half 21,56 27,38% 6 € 505 2,34E+01 € 2.525,2 30

6 150 0864 1. Campy-kip Kip heel 17,22 27,38% 6 € 505 2,93E+01 € 3.030,2 36

7 145 0859 1. Campy-kip Kip vleugel 16,25 27,38% 6 € 505 3,11E+01 € 3.535,2 42

8 144 0857 1. Campy-kip Kip n.s. 15,26 27,38% 6 € 505 3,31E+01 € 4.040,3 48

9 148 0862 1. Campy-kip Kip borst met bot 13,34 27,38% 6 € 505 3,79E+01 € 4.545,3 54

10 157 2667 1. Campy-kip Kip reepjes 11,54 27,38% 6 € 505 4,37E+01 € 5.050,3 60

11 156 0871 1. Campy-kip Kip karbonade 8,57 27,38% 6 € 505 5,89E+01 € 5.555,3 66

12 154 0868 1. Campy-kip Kip TV stick 6,48 27,38% 6 € 505 7,79E+01 € 6.060,4 72

13 500 0970 2.Toxopl-varken Salami 374,59 0,90% 220 € 30.283 8,08E+01 € 36.343,4 292

14 497 0966 2.Toxopl-varken Cervelaat 185,02 0,90% 220 € 30.283 1,64E+02 € 66.626,4 512

15 502 0972 2.Toxopl-varken Worst snij 145,08 0,90% 220 € 30.283 2,09E+02 € 96.909,4 732

16 208 0989 2. Salm-varken Ham coburger 28,92 1,29% 153 € 6.209 2,15E+02 € 103.118,6 885

17 265 0970 2. Salm-varken Salami 26,74 1,29% 153 € 6.209 2,32E+02 € 109.327,9 1038

18 377 1012 2. STEC-rund Filet americain 12,78 3,88% 50 € 3.255 2,55E+02 € 112.583,1 1088

19 501 0971 2.Toxopl-varken Worst met 102,26 0,90% 220 € 30.283 2,96E+02 € 142.866,1 1308

20 496 0965 2.Toxopl-varken Worst gedroogd n.s. 76,41 0,90% 220 € 30.283 3,96E+02 € 173.149,1 1528

21 153 0867 1. Campy-kip Kip soep 1,12 27,38% 6 € 505 4,50E+02 € 173.654,2 1534

22 262 0966 2. Salm-varken Cervelaat 13,21 1,29% 153 € 6.209 4,70E+02 € 179.863,4 1687

23 159 0869 2. Campy-kip Kip rollade 1,85 11,60% 16 € 906 4,89E+02 € 180.769,8 1703

24 443 0989 2.Toxopl-varken Ham coburger 55,56 0,90% 220 € 30.283 5,45E+02 € 211.052,8 1923

25 267 0972 2. Salm-varken Worst snij 10,25 1,29% 153 € 6.209 6,06E+02 € 217.262,0 2076

26 266 0971 2. Salm-varken Worst met 7,30 1,29% 153 € 6.209 8,51E+02 € 223.471,3 2229

Product*

*Net number of samples: 1894

*

Page 16: Risk Based Sampling · Risk Based Sampling A public health perspective from The Netherlands Annemarie Pielaat Jurgen Chardon, Lucas Wijnands, Ellen Delfgou, Angelina Kuijpers, Aarieke

Trend analysis

● Minimum no. samples in two consecutive sampling events (n1=n2) to identify a significant difference in prevalence (d1 and d2) with certain probability (power of the test)

H0: d1 = d2

Ha: d1 ≠ d2

● Power: P(reject H0 in favour of Ha when Ha is true) depends on:

– Actual difference between d1 and d2

– Significance level, α and

– Number of samples (n)

Risk Based Sampling | May 2016 16

Page 17: Risk Based Sampling · Risk Based Sampling A public health perspective from The Netherlands Annemarie Pielaat Jurgen Chardon, Lucas Wijnands, Ellen Delfgou, Angelina Kuijpers, Aarieke

Trend analysis

Risk Based Sampling | May 2016 17

d1

d2

d2

d2

d2

d1

d1 d1

Page 18: Risk Based Sampling · Risk Based Sampling A public health perspective from The Netherlands Annemarie Pielaat Jurgen Chardon, Lucas Wijnands, Ellen Delfgou, Angelina Kuijpers, Aarieke

Conclusion

The Netherlands:

● If €225,000.-

● n ~2000 samples over ~20 different meat products

● Top 12: Campylobacter on different poultry products

– Chicken filet no. 1 product

● Not sufficient for trend analysis in two consecutive years

– Power of the test ≤ 55%

● Consistent iterative implementation of risk based sampling plan

– Monitor pathogen prevalence based on public health risk

– Adapt intervention programs based on public health risk

– Trend analysis

Risk Based Sampling | May 2016 18

Page 19: Risk Based Sampling · Risk Based Sampling A public health perspective from The Netherlands Annemarie Pielaat Jurgen Chardon, Lucas Wijnands, Ellen Delfgou, Angelina Kuijpers, Aarieke

Discussion

● Extend for other pathogen-product combinations

– Next important DALY

● Update prevalence estimates

– Use of molecular methods for monitoring? (reduce costs)

● Improve exposure assessment parameter estimates

– Pathogen survival on meat (STEC on beef)

Risk Based Sampling | May 2016 19