Risk-Based Meat Safety Assurance Systems (RB-MSAS): Perspective in low- and middle-income countries
•
0 gostou•22 visualizações
Presentation by Delia Grace and Fred Unger at the SafePork Conference, New Orleans, Louisiana, 15-17 May 2023.
Recomendados
Mais conteúdo relacionado
Semelhante a Risk-Based Meat Safety Assurance Systems (RB-MSAS): Perspective in low- and middle-income countries
Semelhante a Risk-Based Meat Safety Assurance Systems (RB-MSAS): Perspective in low- and middle-income countries (20)
Mais de ILRI
Mais de ILRI (20)
Último
Último (20)
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
- 3. 3 3 Ferri et al., 2023
- 5. 5
- 7. 7
- 8. 8
- 9. 9
- 10. 10
- 13. 13
- 14. 14
- 15. 15
- 16. 16
- 17. 17
- 19. 19
- 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
- 24. 24 Results
- 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
- 26. 26
- 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