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Better lives through livestock
Risk-Based Meat Safety Assurance
Systems (RB-MSAS): Perspective in low-
and middle-income countries
1
Delia Grace1,2 & Fred Unger1
1 International Livestock Research Institute, Kenya & Vietnam
2 Natural Resources Institute, University of Greenwich, UK
SAFEPORK Conference, New Orleans, 15-17 May 2023
2
Overview
The pork value chain in LMICs – different chains, different risks..
Risk-based approach to detecting novel pig diseases
Reflections
2
3
3
Ferri et al., 2023
5
7
8
9
10
13
14
15
16
17
19
20
Overview
The pork value chain in LMICs – different chains, different risks..
Risk-based approach to detecting novel pig diseases
Reflections
20
21
Methodology
1. Zoonotic niche for Ebola
Suitable
zoological
niche for
Ebola
5 x 5 km pixel
22
Methodology
Pig density
Pigs/square
kilometre
1 x 1 km pixel
Gridded Livestock
of the World 2.0
2010
Robinson et al
2014
23
Methodology
Poverty
National/Sub
national number
of extreme poor
(1.25USD/day)
10 x 10 km pixel
Harvest Choice
2010
Wood et al 2010
24
Results
25
Sampling design
Large area (square kilometres) of high risk present in the district
AND
Adequate numbers of pigs (over 40, 360 average pig herd size OR pig
density > 8 pigs/km2)
AND
One of these potential risk factors:
Large numbers of people in extreme poverty in the district (>124, 000
people per 10 km2)
OR
High bat species diversity in the district (over 5)
OR
Presence of central forest reserves (CFR) of ecological or biodiversity
significance
Bat species richness?
Data provided by Jakob Fahr and Matthias
Herkt, Max Planck Institute, Germany
26
27
Reflections
Greater need for RB-MSAS in LMIC
More pay-off (CE) (further presentations)
Less technical capacity
More bureaucratic inertia
27
28
Acknowledgements
This presentation and the research featured in it was funded by the
One Health Centre in Africa (OHRECA), Australian Centre for
International Agricultural Research (ACIAR), and the CGIAR One
Health Initiative among other donors
28
Risk-Based Meat Safety Assurance Systems (RB-MSAS): Perspective in low- and middle-income countries

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Risk-Based Meat Safety Assurance Systems (RB-MSAS): Perspective in low- and middle-income countries

  • 1. Better lives through livestock Risk-Based Meat Safety Assurance Systems (RB-MSAS): Perspective in low- and middle-income countries 1 Delia Grace1,2 & Fred Unger1 1 International Livestock Research Institute, Kenya & Vietnam 2 Natural Resources Institute, University of Greenwich, UK SAFEPORK Conference, New Orleans, 15-17 May 2023
  • 2. 2 Overview The pork value chain in LMICs – different chains, different risks.. Risk-based approach to detecting novel pig diseases Reflections 2
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  • 20. 20 Overview The pork value chain in LMICs – different chains, different risks.. Risk-based approach to detecting novel pig diseases Reflections 20
  • 21. 21 Methodology 1. Zoonotic niche for Ebola Suitable zoological niche for Ebola 5 x 5 km pixel
  • 22. 22 Methodology Pig density Pigs/square kilometre 1 x 1 km pixel Gridded Livestock of the World 2.0 2010 Robinson et al 2014
  • 23. 23 Methodology Poverty National/Sub national number of extreme poor (1.25USD/day) 10 x 10 km pixel Harvest Choice 2010 Wood et al 2010
  • 25. 25 Sampling design Large area (square kilometres) of high risk present in the district AND Adequate numbers of pigs (over 40, 360 average pig herd size OR pig density > 8 pigs/km2) AND One of these potential risk factors: Large numbers of people in extreme poverty in the district (>124, 000 people per 10 km2) OR High bat species diversity in the district (over 5) OR Presence of central forest reserves (CFR) of ecological or biodiversity significance Bat species richness? Data provided by Jakob Fahr and Matthias Herkt, Max Planck Institute, Germany
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  • 27. 27 Reflections Greater need for RB-MSAS in LMIC More pay-off (CE) (further presentations) Less technical capacity More bureaucratic inertia 27
  • 28. 28 Acknowledgements This presentation and the research featured in it was funded by the One Health Centre in Africa (OHRECA), Australian Centre for International Agricultural Research (ACIAR), and the CGIAR One Health Initiative among other donors 28