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The economics of an infectious
disease outbreak: Using the
European Q Fever epidemic as an
example
Henk Hogeveen, Mirjam Nielen and Maaike A. Gonggrijp
Business Economics group, Wageningen University
Departement Farm Animal Health, Utrecht University
Disease outbreaks
• Can have large consequences
– Eradication
– Vaccination
– Production consequences
– ……
• Zoonosis
– Even more consequences
– Public scrutiny
An example
• Q fever outbreak the Netherlands
• Relative new industry, still growing:
– 98,000 dairy goats in 2000
– 231,000 dairy goats in 2009
(Source: the Dutch Dairy Board)
• 80% of the produced goat milk is exported, only small
part consumed in the Netherlands
• Dairy goat products: soft and hard cheeses, yoghurt,
consumption milk and milk powder
Dutch dairy goat industry
• 320 goat farmers > 100 goats on farm
• Typical seize > 500 goats up to 2500 goats
• Milk collectors: cooperations and small businesses
• Dairy processors: receive milk either direct or indirect
from farmers
• Dairy distributors: dairy goat products are minor part of
their business
• Retail: collaborate with each other when purchasing
products
Dutch dairy goat industry
Goat husbandry
• Intensive system
• Confined, group housing on straw
• Hay and concentrate feeding
• Production level 850/goat/year
• Partly continued lactations (persistency)
• Twice per day milking
• External labour is common
Q fever outbreak
• In 2005 Coxiella burnetii diagnosed in
the Netherlands as cause of abortion
problems on a dairy goat farm
• In 2007 the first Q fever outbreak in
humans was diagnosed
• Since then thousands of people got
infected, which reached a climax in
2009
Year and week of
Source:
www.eurosurveillance.or
g
DALY’s
• DALY = Life years lost + life years lived
with disability
• Fatal cases * (expected life – age)
+
• Cases * duration * disability weight
– EQ 5D system: 243 different health states
based on: mobility, self care,
anxiety/depression, pain/discomfort, usual
activities
Total nr of DALY’s
• Years 2007 to 2010: 2,507 (1,286 – 5,152)
• Mostly (57%) caused by mortality
• Compare with other lung diseases:
– COPD: 146,200
– Pneumonia and bronchiolitis: 72,000
– Influenza: 8,600
• Enough for societal unrest
Farms with abortions due to Q fever
Roest et al 2011
Why dairy goats as source?
• Overlapping area
• Succession in time
• No other explanation
• Confirmed by genotyping
• Other possible sources excluded by
genotyping
Control measures
Majority of control measures in December 2009:
• Vaccination programme
• Culling of (pregnant) goats from infected farms
• Animal movement restrictions
• Breeding ban
• Bulk milk monitoring -> no good confirmation
• Extra hygiene programmes
Around 62,500 dairy goats were culled
 significant drop in milk production
Economic impact
• How large was the negative economic
impact for affected farmers?
• Were other actors of the industry also
negatively affected by the control
measures?
• Were the relations of the actors and
their behaviour in the industry still the
same?
Supply chain
Input
(feed,
vets)
Farmer Processor Retail Consumer
Input of money (bank), regulation
(government)
Transport
Value Chain
Input
(feed,
vets)
Farmer Processor Retail Consumer
Input money (bank), regulation
(government)
Transport
Value chain analysis
• Mapping the value chain
• Governance in the value chain
• Upgrading in the value chain
• Distribution of value in the value chain
Value chain analysis
• Information on the structure, the trade flows and all the
relations between the involved actors of a livestock
sector
• Often qualitative and descriptive
• In this value chain analysis focus on quantification
Data collection
• Identification of actors in value chain,
preliminary map of value chain
• Semi-structured individual interviews (n=34)
• Questions asked about total revenues, gross
margins, governance and upgrading
possibilities in the value chain and the Q
fever outbreak
• Complementary secondary data
• Construction of final map of value chain
Preliminary map of the value chain
Final map of the value chain
Data analysis
• Value chain analysis
– Chain of 2009 compared to chain of 2010
– Relations and behaviour
– Governance, upgrading possibilities
Data analysis
• Gross margin analysis
• Output - variable costs
• No fixed costs taken into account  no net
profit
• Amounts of milk, products or animals
• Gross margins per kg milk or per animal
• Compare same group not between the groups
• 2009 compared to 2010
Gross margin analysis with different
scenarios for 2010:
• Growth in milk production of 10,3%
• Growth in number of goats of 6,6%
• Milk price of 2010:
– -30% (0.31€/kg)
– -20% (0.36€/kg)
– 2010 (0.41€/kg)
– +5% (0.47€/kg)
Data analysis
Results of interviews
• Governance in chain: processors and retail
most often mentioned
• Goat farmers most opportunity for upgrading
• All but one of the relations in the chain
remained the same
The distribution of goat milk and milk equivalents 2009
Gross margin results
• Decrease of gross margins in 2010 of the
total industry of -12% and -23% for farmers
compared to 2009
• Enormous difference in decrease between
affected farmers (-53%) and non-affected
farmers (-12%)
• Prim. dairy processors, meat processing and
retail not negatively affected
0
10
20
30
40
50
60
70
80
90
100
Goat farmers Milk collectors Prim. dairy
processors
Second. dairy
processors
(Feed) suppliers Meat
processing
Retail Total
2009
2010
Euro(€)x10⁶
Gross margins of the Dutch dairy goat industry
in 2009 - 2010
Differences in gross margins between 2009-2010
in the Dutch dairy goat sector (%)
-40
-30
-20
-10
0
10
20
Goat farmers Milk collectors Prim. dairy
processors
Second. dairy
processors
(Feed) suppliers Meat processing Retail Total
Percentage(%)
Different scenarios
Comparison of 2009 with different 2010
scenarios:
• Q fever outbreak
• No Q fever outbreak:
– Growth in milk production of 10,3%
– Growth in number of goats of 6,6%
– Milk price of 2010:
-30% (0.31€/kg),
-20% (0.36€/kg),
+5% (0.47€/kg)
Results different scenarios
Drop in milk price to 0.31€/kg -> -57% gross margin
Drop in milk price to 0.36€/kg  -29% gross margin
Different scenarios for the whole sector (effect
on gross margin)
-70
-60
-50
-40
-30
-20
-10
0
10
20
30
40
Goat farmers Milk collectors Prim. dairy
processors
Second. dairy
processors
(Feed) suppliers Meat processing Retail Total
Q fever outbreak
0.31 €/kg
0.36 €/kg
0.41 €/kg
0.47 €/kg
Percentage(%)
Scenario of 2010:
Discussion
• Not all of the actors participated. Especially
actors close to the consumer were hard to
motivate.
• Information provided in interviews correct? 
simulation model to deal with incorrect data.
• Uncertain if changes in 2010 solely due to the
effect of the outbreak and control measures 
change of export to France in 2010.
• Compensation used to pay off credit loans or
to buy new dairy goats.
Discussion – Value chain analysis
• All the (complex) relations in the
dairy goat industry were made
visible with the mapping of the
chain
• Individually held interviews:
– sensitive information was shared
– no room for group discussions
Conclusion
• Quantification of the value chain succeeded
• Farmers most visibly affected but other actors
as well or even more
• Compensation for farmers alone not
adequately address the economic impact
• The value chain analysis can be
complemented with:
– Transmission data
– Data on government costs and human benefits
Acknowledgements
Goat farmers
Milk collectors
Dairy processors
Feed companies
Milking system suppliers
Milk powder suppliers
Veterinarians
A.I. station
Semen inseminators
Claw carers
Accountants
Animal health service
Dairy traders
Goat traders
Meat processors
Slaughterhouses
Consumers
Dutch Dairy Board
Dutch Federation of Agriculture
and Horticulture
Many thanks to all of the participating actors of the
following groups:
Thank you for your attention.

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The economics of an infectious disease outbreak: Using the European Q Fever epidemic as an example

  • 1. The economics of an infectious disease outbreak: Using the European Q Fever epidemic as an example Henk Hogeveen, Mirjam Nielen and Maaike A. Gonggrijp Business Economics group, Wageningen University Departement Farm Animal Health, Utrecht University
  • 2.
  • 3.
  • 4. Disease outbreaks • Can have large consequences – Eradication – Vaccination – Production consequences – …… • Zoonosis – Even more consequences – Public scrutiny
  • 5. An example • Q fever outbreak the Netherlands
  • 6. • Relative new industry, still growing: – 98,000 dairy goats in 2000 – 231,000 dairy goats in 2009 (Source: the Dutch Dairy Board) • 80% of the produced goat milk is exported, only small part consumed in the Netherlands • Dairy goat products: soft and hard cheeses, yoghurt, consumption milk and milk powder Dutch dairy goat industry
  • 7.
  • 8. • 320 goat farmers > 100 goats on farm • Typical seize > 500 goats up to 2500 goats • Milk collectors: cooperations and small businesses • Dairy processors: receive milk either direct or indirect from farmers • Dairy distributors: dairy goat products are minor part of their business • Retail: collaborate with each other when purchasing products Dutch dairy goat industry
  • 9. Goat husbandry • Intensive system • Confined, group housing on straw • Hay and concentrate feeding • Production level 850/goat/year • Partly continued lactations (persistency) • Twice per day milking • External labour is common
  • 10.
  • 11.
  • 12. Q fever outbreak • In 2005 Coxiella burnetii diagnosed in the Netherlands as cause of abortion problems on a dairy goat farm • In 2007 the first Q fever outbreak in humans was diagnosed • Since then thousands of people got infected, which reached a climax in 2009 Year and week of
  • 14. DALY’s • DALY = Life years lost + life years lived with disability • Fatal cases * (expected life – age) + • Cases * duration * disability weight – EQ 5D system: 243 different health states based on: mobility, self care, anxiety/depression, pain/discomfort, usual activities
  • 15. Total nr of DALY’s • Years 2007 to 2010: 2,507 (1,286 – 5,152) • Mostly (57%) caused by mortality • Compare with other lung diseases: – COPD: 146,200 – Pneumonia and bronchiolitis: 72,000 – Influenza: 8,600 • Enough for societal unrest
  • 16. Farms with abortions due to Q fever
  • 17. Roest et al 2011
  • 18. Why dairy goats as source? • Overlapping area • Succession in time • No other explanation • Confirmed by genotyping • Other possible sources excluded by genotyping
  • 19. Control measures Majority of control measures in December 2009: • Vaccination programme • Culling of (pregnant) goats from infected farms • Animal movement restrictions • Breeding ban • Bulk milk monitoring -> no good confirmation • Extra hygiene programmes Around 62,500 dairy goats were culled  significant drop in milk production
  • 20. Economic impact • How large was the negative economic impact for affected farmers? • Were other actors of the industry also negatively affected by the control measures? • Were the relations of the actors and their behaviour in the industry still the same?
  • 21. Supply chain Input (feed, vets) Farmer Processor Retail Consumer Input of money (bank), regulation (government) Transport
  • 22. Value Chain Input (feed, vets) Farmer Processor Retail Consumer Input money (bank), regulation (government) Transport
  • 23. Value chain analysis • Mapping the value chain • Governance in the value chain • Upgrading in the value chain • Distribution of value in the value chain
  • 24. Value chain analysis • Information on the structure, the trade flows and all the relations between the involved actors of a livestock sector • Often qualitative and descriptive • In this value chain analysis focus on quantification
  • 25. Data collection • Identification of actors in value chain, preliminary map of value chain • Semi-structured individual interviews (n=34) • Questions asked about total revenues, gross margins, governance and upgrading possibilities in the value chain and the Q fever outbreak • Complementary secondary data • Construction of final map of value chain
  • 26. Preliminary map of the value chain
  • 27. Final map of the value chain
  • 28. Data analysis • Value chain analysis – Chain of 2009 compared to chain of 2010 – Relations and behaviour – Governance, upgrading possibilities
  • 29. Data analysis • Gross margin analysis • Output - variable costs • No fixed costs taken into account  no net profit • Amounts of milk, products or animals • Gross margins per kg milk or per animal • Compare same group not between the groups • 2009 compared to 2010
  • 30. Gross margin analysis with different scenarios for 2010: • Growth in milk production of 10,3% • Growth in number of goats of 6,6% • Milk price of 2010: – -30% (0.31€/kg) – -20% (0.36€/kg) – 2010 (0.41€/kg) – +5% (0.47€/kg) Data analysis
  • 31. Results of interviews • Governance in chain: processors and retail most often mentioned • Goat farmers most opportunity for upgrading • All but one of the relations in the chain remained the same
  • 32. The distribution of goat milk and milk equivalents 2009
  • 33. Gross margin results • Decrease of gross margins in 2010 of the total industry of -12% and -23% for farmers compared to 2009 • Enormous difference in decrease between affected farmers (-53%) and non-affected farmers (-12%) • Prim. dairy processors, meat processing and retail not negatively affected
  • 34. 0 10 20 30 40 50 60 70 80 90 100 Goat farmers Milk collectors Prim. dairy processors Second. dairy processors (Feed) suppliers Meat processing Retail Total 2009 2010 Euro(€)x10⁶ Gross margins of the Dutch dairy goat industry in 2009 - 2010
  • 35. Differences in gross margins between 2009-2010 in the Dutch dairy goat sector (%) -40 -30 -20 -10 0 10 20 Goat farmers Milk collectors Prim. dairy processors Second. dairy processors (Feed) suppliers Meat processing Retail Total Percentage(%)
  • 36. Different scenarios Comparison of 2009 with different 2010 scenarios: • Q fever outbreak • No Q fever outbreak: – Growth in milk production of 10,3% – Growth in number of goats of 6,6% – Milk price of 2010: -30% (0.31€/kg), -20% (0.36€/kg), +5% (0.47€/kg)
  • 37. Results different scenarios Drop in milk price to 0.31€/kg -> -57% gross margin Drop in milk price to 0.36€/kg  -29% gross margin
  • 38. Different scenarios for the whole sector (effect on gross margin) -70 -60 -50 -40 -30 -20 -10 0 10 20 30 40 Goat farmers Milk collectors Prim. dairy processors Second. dairy processors (Feed) suppliers Meat processing Retail Total Q fever outbreak 0.31 €/kg 0.36 €/kg 0.41 €/kg 0.47 €/kg Percentage(%) Scenario of 2010:
  • 39. Discussion • Not all of the actors participated. Especially actors close to the consumer were hard to motivate. • Information provided in interviews correct?  simulation model to deal with incorrect data. • Uncertain if changes in 2010 solely due to the effect of the outbreak and control measures  change of export to France in 2010. • Compensation used to pay off credit loans or to buy new dairy goats.
  • 40. Discussion – Value chain analysis • All the (complex) relations in the dairy goat industry were made visible with the mapping of the chain • Individually held interviews: – sensitive information was shared – no room for group discussions
  • 41. Conclusion • Quantification of the value chain succeeded • Farmers most visibly affected but other actors as well or even more • Compensation for farmers alone not adequately address the economic impact • The value chain analysis can be complemented with: – Transmission data – Data on government costs and human benefits
  • 42. Acknowledgements Goat farmers Milk collectors Dairy processors Feed companies Milking system suppliers Milk powder suppliers Veterinarians A.I. station Semen inseminators Claw carers Accountants Animal health service Dairy traders Goat traders Meat processors Slaughterhouses Consumers Dutch Dairy Board Dutch Federation of Agriculture and Horticulture Many thanks to all of the participating actors of the following groups:
  • 43. Thank you for your attention.

Editor's Notes

  1. Minder woorden
  2. Study the socio-economic impact
  3. Fixed or deterministic numbers were used, not a stochastic model
  4. Fixed or deterministic numbers were used, not a stochastic model
  5. Compared these with 2009
  6. and compensate for the devaluation of the reduced herd of goats
  7. It highlights that compensation of farmers alone may not adequately address the economic impact of animal diseases.