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Biosecurity measures in meat and milk value chains:
A study in Bura sub-county, Kenya
Simon Nyokabi, Regina Birner, Johanna Lindahl and Bernard Bett
5th Leverhulme Centre for Integrative Research on Agriculture and Health
(LCIRAH) Annual Research Conference
London School of Hygiene and Tropical Medicine, London, UK
3-4 June 2015
 New emerging and re-emerging diseases
 Hinders achievement of Millennium Development Goals
 Threat of bio-terrorism
 Globalization of value chains
 Threaten livelihood of majority in LDCs
 Social and economic costs are very high
(Abushama 2013; Akinwumi et al. 2009; Battelli 2008; Childs et al. 1998; Daszak et al. 2004;
Magnusson 2009; McDermott & Grace 2011)
Why worry about zoonoses?
2
Period Disease County Estimate (USA dollars)
1986-2009
Bovine spongiform
Encephalopathy
United kingdom 15.5 billion
1994 Plague India 2 billion
Sept 1998-April 1999 Nipah virus Malaysia 671 million
Jan 1999-Dec 2008 West Nile virus USA 400 million
Nov 2002-July 2003
Severe acute
respiratory syndrome
(SARS)
Asia 41.5 billion
2003-2007
Bovine spongiform
Encephalopathy
USA 11 billion
Jan 2004 –Jan 2009
Highly pathogenic
avian influenza
Asia 20 billion
Oct 2005-Jan 2009
Highly pathogenic
avian influenza
Europe 500 million
November 2005-
January 2009
Highly pathogenic
avian influenza
Africa
November 2006-May
2007
Rift valley fever
Tanzania, Kenya,
Somalia
30 million
Source: World Bank 2012 3
Recent diseases and associated cost
Source: World Bank 2012
 Cost of prevention: $3.4 billion/year
Period
Costs
(conservative
estimates)
Annual
average
Historical
zoonoses
1998-2009 $80.2 billion total $6.7 billion
Severe
pandemic
Once a
century
$3 trillion $30 billion
Costs of disease outbreaks (US$ billion)
4
Why focus on informal value chains?
 Majority of the world’s poor rely on informal value chains
 Accessible
 Affordable
 Employment
 Social arena for many people (information exchange)
 Informal markets have existed and will exist for a long time
 Local and cultural foods
 Difficult to regulate
5
Challenges in informal value chains
 Low knowledge of diseases, transmission and risks
 Diseases are endemic and often neglected
 Changing climate (unpredictable weather / seasons)
 New agricultural systems (e.g. irrigation schemes)
 Weak regulatory institutions
 Governance challenges like corruption
 Lack of market structures
 Low adoption of hygienic measures 6
Prevention is better than cure!
“Biosecurity is the implementation of measures
that reduce the risk of the introduction and
spread of disease agents.”
(FAO, 2008)
- Involves isolation, quarantine, surveillance and
prevention of disease transmission.
Why adopt biosecurity measures?
7
Biosecurity measures
 Pro-active disease surveillance and management
o Economical to implement
o Influenced by policy incentives
 Reduce disease prevalence from farm to fork
 Facilitate access to new markets
 Reduce zoonoses burden on poor households
 Help achieve MDGs in LDCs
8
Case study:
Bura sub-county, Kenya
Bura Tana river county
10
Research objectives
To explore value chain actors’ knowledge and understanding
of zoonotic risks.
 To assess knowledge and perception of the significance of
these identified zoonotic risks.
 To assess value chain actors’ incorporation of biosecurity
measures in their activities and workplaces.
 To identify the factors influencing adoption of biosecurity
measures among different value chain actors.
11
• Mixed method approach
• In-depth Interviews with actors
• Informal discussions
• Participatory mapping of value chains and risk assessment
• Observations
• Knowledge Attitude Practices survey (Questionnaire)
Methodology
12
Results: Composition of Sample
Traders Butchers Transporters
Slaughter
house
workers
Milk
vendors
Sample size 43 9 35 10 57
Gender (%)
Male 95.3 88.9 97.1 100 7
Female 4.7 1 1 - 93
Mean age 42.86 38.56 32.17 38.20 32.11
13
Traders
(%)
Butchers
(%)
Transporter
(%)
Slaughter
house
workers
(%)
Milk vendors
(%)
Formal 2.3 - - 10 1.8
On job training 16.3 44.44 28.6 70 7.0
No training 81.4 55.6 71.4 20 91.2
Results: Level of training among actors
14
Results: Level of knowledge
Traders
n=43
(%)
Butchers
n=9
(%)
Transporters
n=35
(%)
Slaughterhouse
workers
n=10
(%)
Milk
vendors
n=57
(%)
Heard zoonoses 72.1 77.8 65.7 90 47.4
Know biosecurity
measures
55.8
44.4
48.6 90 36.8
Biosecurity important 58.1
44.4
48.6 90 36.8
Can get infected from
livestock or products
72.1 66.7 60.0 90 36.8
15
Results: Level of personal biosecurity
Trader
n=57
(%)
Butchers
n=9
(%)
Milk vendors
n=57
(%)
Slaughterhouse
workers
n=10
(%)
Transporters
n=35
(%)
Use protective gear
(PPE)
9.3 88.9 3.5 90 25.7
Medical exams
14 100 17.5 90 28.6
16
Results: Non-use of PPE
17
Results: Food biosecurity
Milk Test carried out Percentage (n=57)
Clot on boiling 12.3
Colour 17.54
Tasting ( taking a sip) 77.19
Butter content 10.53
Clot on boiling 19.3
 No microbial test
 Risky milk test
 Unhygienic handling
 Dirty containers
 Unhygienic packaging
 Dirty processing places
Method of milk storage Percent (n=57)
Kept boiled 73.68
In closed container 59.65
In open container 3.5
18
Results: Food biosecurity
Poor handling of milk containers and unhygienic milk bulking places
19
Results: Animal health biosecurity
Traders biosecurity practices
Traders n=43 Percent (%)
Are sprayed 86.0
Are inspected 53.5
Are isolated 55.8
Are quarantined 39.5
Report dead 34.9
 No isolation grounds
 Movement certificate not
enforced sometimes
 No inspection observed
20
Environmental biosecurity
What traders do when an animal dies
Traders n=43 Percentage (%)
Burn 25.6
Bury 16.3
Report to vet 2.3
Slaughter 9.3
Dispose of 46.5
 Low uptake of latrines
 Open dumping of wastes
 Lack of sewerage facilities
21
Slaughterhouse visits
Mixing intestines and carcass Dirty water and intestine cleaning containers
22
Slaughterhouse visits
Slaughtering on the ground and non-use of PPE
23
Qualitative risk analysis
Milk
Traders
Transport
Boiling for
Bulking / Local
consumption
Leaking
plastic
containers
Cleaning at
rivers
Asymptomatic
animals
Unhygienic milking
Open defecation
Manure and waste
management
Critical Risk Points in the value chain
No PPE used
Unhygienic handling
Non sterilisation of equipment and
Plastics
No medical exams
No regulations
Untreated water
Raw milk and offal consumption
No certification programs
Livestock
traders
Production
24
What can
we do
about the
future????
Costs
vs.
Ease of Implementation
Matrix of Biosecurity:
Ease of Implementation
C
o
s
t
Easy - Expensive Somehow Easy - Expensive Difficult – Expensive
Testing for diseases
Isolation of animals
Quarantine facilities
Public education
Vaccinations
Cooling facilities
Pasteurization
Sterilization of milk (in bottle)
UHT (ultra-high-temperature) treatment
institutional capacity
Certification
Sewer systems
Testing labs
Good infrastructure
Good governance and
Laws and policies
Competent body of inspectors (veterinarians, meat
inspectors)
Testing and culling
Easy - Medium Cost Somehow Easy – Medium Cost Difficult - Medium Cost
Protective clothing
Meat inspection
Refrigeration
Toilets
Public education
Food testing
Aluminium milk containers
New food laws
Testing equipment
Animals tracing
Easy - Cheap Somehow Easy - Cheap Difficult – Cheap
Washing hands
Disinfection
Water treatment
Sanitation use
Premises inspections
Medical check ups
Licencing
Ante mortem inspection
post-mortem examination
Manure disposals
Low cost packaging
 More multidisciplinary research approach
 Environmental conservation
 Traceability of animal and animal source products
 Compensation schemes when culling
 Better regional and international policies
 Proactive disease surveillance and research
 Adaptation and climate change mitigation
 One health approach and resource sharing
(Abushama 2013; Akinwumi et al. 2009; Battelli 2008; Childs et al. 1998; Daszak et al. 2004; John McDermott and Delia Grace 2011;
Magnusson 2009) 28
Looking ahead to the future............
Annual benefit Annual cost Confidence in
investment
Sharing
resources
4 billion 1 billion ++
Controllable
zoonoses
85 billion 21 billion +++
Timely response 6 billion
3.4 billion
++
Averting
pandemics
30 billion +
Generating
insights
? ? +++
Bottom line 125 billion 25 billion +++
The benefits and costs of sharing biosecurity
resources in zoonoses control
(Grace 2014) 29
Thank you for your attention
References
• Abushama, Hind Mohamed. 2013. “Zoonoses, Neglected Community and Poverty (The Connected Scenario).” Air & Water
Borne Diseases 02(01):1–2. Retrieved December 8, 2013 (http://www.omicsgroup.org/journals/zoonoses-neglected-
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• Agriterra. 2012. Scanning of the Livestock Sector for the Identification of Investment Opportunities in Uganda-Embassy of
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• Akinwumi, James, Iheanacho Okike, Bernard Bett, Thomas Fitz Randolph, and and Karl M. Rich. 2009. “Controlling Avian
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Interactions with HPAI Risk Factors in Nigeria.” (16).
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Institute Workshop Report Development of a Protocol for the Rift Valley Fever Case Study, Dynamic Drivers of Disease in
Africa: Ecosystems, Livestock/wildlife, Health and Wellbeing Project.
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(http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2640307&tool=pmcentrez&rendertype=abstract).
• Daszak, Peter, Gary M. Tabor, A. Marm Kilpatrick, J. O. N. Epstein, and Raina Plowright. 2004. “Conservation Medicine and
a New Agenda for Emerging Diseases.” 11:1–11.
• FAO. 2008. Biosecurity for Highly Pathogenic Avian Influenza-Issues and Options.
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Conference in Africa. Jointly Organised by the Southern African Centre for Infectious Disease
Surveillance and the Tanzania National Institute for Medical Research, Held at the Snow Crest Hotel in
Arusha, Tanzania from 16, 1–6. doi:10.4102/ojvr.v81i2.725. http://www. sacids.org/kms/frontend/
index.php?m=119.
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• Grace, Delia. 2012. “Zoonoses : The Lethal Gifts of Livestock.” in ILRI Livestock Live Seminar international Livestock Research Institute
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• Grace, Delia et al. 2014. “Disease , Social , Environmental and Economic Values.” in DDDAC meeting, Lake Naivasha, Kenya 24th-27th
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(Washington, DC: International Food Policy Research Institute, 2011).”
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Biosecurity measures in meat and milk value chains: A study in Bura sub-county, Kenya

  • 1. Biosecurity measures in meat and milk value chains: A study in Bura sub-county, Kenya Simon Nyokabi, Regina Birner, Johanna Lindahl and Bernard Bett 5th Leverhulme Centre for Integrative Research on Agriculture and Health (LCIRAH) Annual Research Conference London School of Hygiene and Tropical Medicine, London, UK 3-4 June 2015
  • 2.  New emerging and re-emerging diseases  Hinders achievement of Millennium Development Goals  Threat of bio-terrorism  Globalization of value chains  Threaten livelihood of majority in LDCs  Social and economic costs are very high (Abushama 2013; Akinwumi et al. 2009; Battelli 2008; Childs et al. 1998; Daszak et al. 2004; Magnusson 2009; McDermott & Grace 2011) Why worry about zoonoses? 2
  • 3. Period Disease County Estimate (USA dollars) 1986-2009 Bovine spongiform Encephalopathy United kingdom 15.5 billion 1994 Plague India 2 billion Sept 1998-April 1999 Nipah virus Malaysia 671 million Jan 1999-Dec 2008 West Nile virus USA 400 million Nov 2002-July 2003 Severe acute respiratory syndrome (SARS) Asia 41.5 billion 2003-2007 Bovine spongiform Encephalopathy USA 11 billion Jan 2004 –Jan 2009 Highly pathogenic avian influenza Asia 20 billion Oct 2005-Jan 2009 Highly pathogenic avian influenza Europe 500 million November 2005- January 2009 Highly pathogenic avian influenza Africa November 2006-May 2007 Rift valley fever Tanzania, Kenya, Somalia 30 million Source: World Bank 2012 3 Recent diseases and associated cost
  • 4. Source: World Bank 2012  Cost of prevention: $3.4 billion/year Period Costs (conservative estimates) Annual average Historical zoonoses 1998-2009 $80.2 billion total $6.7 billion Severe pandemic Once a century $3 trillion $30 billion Costs of disease outbreaks (US$ billion) 4
  • 5. Why focus on informal value chains?  Majority of the world’s poor rely on informal value chains  Accessible  Affordable  Employment  Social arena for many people (information exchange)  Informal markets have existed and will exist for a long time  Local and cultural foods  Difficult to regulate 5
  • 6. Challenges in informal value chains  Low knowledge of diseases, transmission and risks  Diseases are endemic and often neglected  Changing climate (unpredictable weather / seasons)  New agricultural systems (e.g. irrigation schemes)  Weak regulatory institutions  Governance challenges like corruption  Lack of market structures  Low adoption of hygienic measures 6
  • 7. Prevention is better than cure! “Biosecurity is the implementation of measures that reduce the risk of the introduction and spread of disease agents.” (FAO, 2008) - Involves isolation, quarantine, surveillance and prevention of disease transmission. Why adopt biosecurity measures? 7
  • 8. Biosecurity measures  Pro-active disease surveillance and management o Economical to implement o Influenced by policy incentives  Reduce disease prevalence from farm to fork  Facilitate access to new markets  Reduce zoonoses burden on poor households  Help achieve MDGs in LDCs 8
  • 10. Bura Tana river county 10
  • 11. Research objectives To explore value chain actors’ knowledge and understanding of zoonotic risks.  To assess knowledge and perception of the significance of these identified zoonotic risks.  To assess value chain actors’ incorporation of biosecurity measures in their activities and workplaces.  To identify the factors influencing adoption of biosecurity measures among different value chain actors. 11
  • 12. • Mixed method approach • In-depth Interviews with actors • Informal discussions • Participatory mapping of value chains and risk assessment • Observations • Knowledge Attitude Practices survey (Questionnaire) Methodology 12
  • 13. Results: Composition of Sample Traders Butchers Transporters Slaughter house workers Milk vendors Sample size 43 9 35 10 57 Gender (%) Male 95.3 88.9 97.1 100 7 Female 4.7 1 1 - 93 Mean age 42.86 38.56 32.17 38.20 32.11 13
  • 14. Traders (%) Butchers (%) Transporter (%) Slaughter house workers (%) Milk vendors (%) Formal 2.3 - - 10 1.8 On job training 16.3 44.44 28.6 70 7.0 No training 81.4 55.6 71.4 20 91.2 Results: Level of training among actors 14
  • 15. Results: Level of knowledge Traders n=43 (%) Butchers n=9 (%) Transporters n=35 (%) Slaughterhouse workers n=10 (%) Milk vendors n=57 (%) Heard zoonoses 72.1 77.8 65.7 90 47.4 Know biosecurity measures 55.8 44.4 48.6 90 36.8 Biosecurity important 58.1 44.4 48.6 90 36.8 Can get infected from livestock or products 72.1 66.7 60.0 90 36.8 15
  • 16. Results: Level of personal biosecurity Trader n=57 (%) Butchers n=9 (%) Milk vendors n=57 (%) Slaughterhouse workers n=10 (%) Transporters n=35 (%) Use protective gear (PPE) 9.3 88.9 3.5 90 25.7 Medical exams 14 100 17.5 90 28.6 16
  • 18. Results: Food biosecurity Milk Test carried out Percentage (n=57) Clot on boiling 12.3 Colour 17.54 Tasting ( taking a sip) 77.19 Butter content 10.53 Clot on boiling 19.3  No microbial test  Risky milk test  Unhygienic handling  Dirty containers  Unhygienic packaging  Dirty processing places Method of milk storage Percent (n=57) Kept boiled 73.68 In closed container 59.65 In open container 3.5 18
  • 19. Results: Food biosecurity Poor handling of milk containers and unhygienic milk bulking places 19
  • 20. Results: Animal health biosecurity Traders biosecurity practices Traders n=43 Percent (%) Are sprayed 86.0 Are inspected 53.5 Are isolated 55.8 Are quarantined 39.5 Report dead 34.9  No isolation grounds  Movement certificate not enforced sometimes  No inspection observed 20
  • 21. Environmental biosecurity What traders do when an animal dies Traders n=43 Percentage (%) Burn 25.6 Bury 16.3 Report to vet 2.3 Slaughter 9.3 Dispose of 46.5  Low uptake of latrines  Open dumping of wastes  Lack of sewerage facilities 21
  • 22. Slaughterhouse visits Mixing intestines and carcass Dirty water and intestine cleaning containers 22
  • 23. Slaughterhouse visits Slaughtering on the ground and non-use of PPE 23
  • 24. Qualitative risk analysis Milk Traders Transport Boiling for Bulking / Local consumption Leaking plastic containers Cleaning at rivers Asymptomatic animals Unhygienic milking Open defecation Manure and waste management Critical Risk Points in the value chain No PPE used Unhygienic handling Non sterilisation of equipment and Plastics No medical exams No regulations Untreated water Raw milk and offal consumption No certification programs Livestock traders Production 24
  • 25. What can we do about the future????
  • 27. Ease of Implementation C o s t Easy - Expensive Somehow Easy - Expensive Difficult – Expensive Testing for diseases Isolation of animals Quarantine facilities Public education Vaccinations Cooling facilities Pasteurization Sterilization of milk (in bottle) UHT (ultra-high-temperature) treatment institutional capacity Certification Sewer systems Testing labs Good infrastructure Good governance and Laws and policies Competent body of inspectors (veterinarians, meat inspectors) Testing and culling Easy - Medium Cost Somehow Easy – Medium Cost Difficult - Medium Cost Protective clothing Meat inspection Refrigeration Toilets Public education Food testing Aluminium milk containers New food laws Testing equipment Animals tracing Easy - Cheap Somehow Easy - Cheap Difficult – Cheap Washing hands Disinfection Water treatment Sanitation use Premises inspections Medical check ups Licencing Ante mortem inspection post-mortem examination Manure disposals Low cost packaging
  • 28.  More multidisciplinary research approach  Environmental conservation  Traceability of animal and animal source products  Compensation schemes when culling  Better regional and international policies  Proactive disease surveillance and research  Adaptation and climate change mitigation  One health approach and resource sharing (Abushama 2013; Akinwumi et al. 2009; Battelli 2008; Childs et al. 1998; Daszak et al. 2004; John McDermott and Delia Grace 2011; Magnusson 2009) 28 Looking ahead to the future............
  • 29. Annual benefit Annual cost Confidence in investment Sharing resources 4 billion 1 billion ++ Controllable zoonoses 85 billion 21 billion +++ Timely response 6 billion 3.4 billion ++ Averting pandemics 30 billion + Generating insights ? ? +++ Bottom line 125 billion 25 billion +++ The benefits and costs of sharing biosecurity resources in zoonoses control (Grace 2014) 29
  • 30. Thank you for your attention
  • 31. References • Abushama, Hind Mohamed. 2013. “Zoonoses, Neglected Community and Poverty (The Connected Scenario).” Air & Water Borne Diseases 02(01):1–2. Retrieved December 8, 2013 (http://www.omicsgroup.org/journals/zoonoses-neglected- community-and-poverty-the-connected-scenario-2167- 7719.1000106.php?aid=15415). • Agriterra. 2012. Scanning of the Livestock Sector for the Identification of Investment Opportunities in Uganda-Embassy of the Kingdom of the Netherlands in Uganda :Draft Report May 2012. • Akinwumi, James, Iheanacho Okike, Bernard Bett, Thomas Fitz Randolph, and and Karl M. Rich. 2009. “Controlling Avian Flu and Protecting People ’ S Livelihoods in Africa and Indonesia Analyses of the Poultry Value Chain and Its Linkages and Interactions with HPAI Risk Factors in Nigeria.” (16). • Battelli, Giorgio. 2008. “Zoonoses as Occupational Diseases.” Veterinaria italiana 44(4):601–9. Retrieved (http://www.ncbi.nlm.nih.gov/pubmed/20411487). • Bett, Bernard, Rosemary Sang, Salome Bukachi, Salome Wanyoike, and Ian Njeru. 2013. Nternational Livestock Research Institute Workshop Report Development of a Protocol for the Rift Valley Fever Case Study, Dynamic Drivers of Disease in Africa: Ecosystems, Livestock/wildlife, Health and Wellbeing Project. • Childs, J. et al. 1998. “Emerging Zoonoses.” Emerging infectious diseases 4(3):453–54. Retrieved (http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2640307&tool=pmcentrez&rendertype=abstract). • Daszak, Peter, Gary M. Tabor, A. Marm Kilpatrick, J. O. N. Epstein, and Raina Plowright. 2004. “Conservation Medicine and a New Agenda for Emerging Diseases.” 11:1–11. • FAO. 2008. Biosecurity for Highly Pathogenic Avian Influenza-Issues and Options. • Grace, Delia. 2014. “The Business Case for One Health.” In Proceedings of the 2nd One Health Conference in Africa. Jointly Organised by the Southern African Centre for Infectious Disease Surveillance and the Tanzania National Institute for Medical Research, Held at the Snow Crest Hotel in Arusha, Tanzania from 16, 1–6. doi:10.4102/ojvr.v81i2.725. http://www. sacids.org/kms/frontend/ index.php?m=119.
  • 32. References • Grace Delia. 2012. “Agriculture for Development The Deadly Gifts of Livestock – Zoonoses.” Tropical Agriculture Association, 14. • Grace, Delia. 2012. “Zoonoses : The Lethal Gifts of Livestock.” in ILRI Livestock Live Seminar international Livestock Research Institute 31 October 2012. • Grace, Delia et al. 2014. “Disease , Social , Environmental and Economic Values.” in DDDAC meeting, Lake Naivasha, Kenya 24th-27th June, 2014. • IFAD. 2006. Value Chains , Linking Producers to the Markets-Thematic Paper. • IFAD. 2011. “Access to Markets :Making Value Chains Work for Poor Rural People.” • John McDermott and Delia Grace. 2011. “Agriculture-Associated Diseases: Adapting Agriculture to Improve Human Health (Washington, DC: International Food Policy Research Institute, 2011).” • Kaplinsky, Raphael, and Mike Morris. 2000. “A HANDBOOK FOR VALUE CHAIN An Important Health Warning or A Guide for Using This Handbook.” (September). • Magnusson, Ulf. 2009. “Overview of Infectious Diseases and the Wildlife-Livestock Interface.” 2005–8. • Mazet, J. (2013). Predicting the Unpredictable : Identifying emerging infectious diseases at the human-domestic animal-wildlife interface. In What’s Up Seminar Series-California National Primate Research Center Seminar Hall 4/16/2013. • Mwangi, Evans et al. 2013. “RESEARCH UPDATE SITUATION ANALYSIS.” (September):1–6. • Narrod, Clare, Jakob Zinsstag, and Marites Tiongco. 2012. “A One Health Framework for Estimating the Economic Costs of Zoonotic Diseases on Society.” EcoHealth 9(2):150–62. Retrieved November 19, 2013 (http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3415616&tool=pmcentrez&rendertype=abstract). • Olwande, Portas, and Mwihia Evalyn. 2013. “BRUCELLOSIS SITUATION IN KENYA.” in BRUCELLOSI S SITUATION IN KENYA Presented on: 5th March 2013 Venue: University of Wyoming. • Rich K, Baker D, I. Okike, and F. Wanyoike. 2009. “The Role of Value Chain Analysis in Animal Disease Impact Studies: Methodology and Case Studies of Rift Valley Fever in Kenya and Avian Influenza in Nigeria.” (1). • Sidahmed, Ahmed E. 2010. “Utilization of Value Chain Analysis in the Livestock Development Sector: The Case of the Zambia Beef Industry.” (May):4–6. • USaid. 2012. “END MARKET ANALYSIS OF KENYAN LIVESTOCK AND MEAT -A DESK STUDY.” microREPOR(March). • World Bank. 2012. PEOPLE, PATHOGENS AND OUR PLANET Volume 2 The Economics of One Health.