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Better lives through livestock
Evaluation of a candidate thermotolerant vaccine
against peste des petits ruminants in Mali
Cheick A.K. Sidibe1, Amadou SĂ©ry1, Oumar Kantao1, Abdou Fall 2, Mamadou Niang3 and Michel Dione2
1 Central Veterinary Laboratory, Bamako, Mali
2International Livestock Research Institute, Dakar, Senegal
3Food and Agriculture Organization of the United Nations, Accra, Ghana
Peste des petits ruminants Global Research and Expertise Network (PPR-GREN) meeting
Montpellier, France, 7–9 December 2022
2
o PPR is a threat to livelihoods of millions of livestock farmers
worldwide
o PPR is endemic in Mali
o Mali faces challenges in the control of PPR
o National Strategic Plan for PPR control (PNS-PPR)
o FAO/OMSA support PPR global eradication program
PPR eradication challenges
3
What tools are available to control PPR?
o Current effective vaccines (Nigeria 75/1 and Sungri strains)
 Vaccines induce long-lived immunity
 Vaccines are safe
o Thermotolerant vaccines (technology available but not used)
 Advantage for remote and high temperature areas
 Reduce delivery cost (cold chain)
o Test new vaccination strategies
4
Opportunities for a thermotolerant vaccine
 Adapted product for the Sahel
(temperatures of 25–45 degrees Celsius)
 Decrease vaccine loss in the field
 Meets stakeholders’ needs
 Opportunities for commercialization in the
region
5
Cold chain requirements for the current vaccine at LCV
Fist storage in LCV
Transportation
Storage
Ice until to the feet of animals
Ovipeste : Nigeria 75/1 strains
 Induce long-live immunity
 Need of cold chain
6
A public-private partnership to produce PPR thermotolerant vaccines
ILRI has partnered with Hester Biosciences Ltd of India to support the LCV of Mali
to optimize protocols to produce two thermotolerant PPR vaccines:
 “ILRI thermotolerant PPR vaccine produced by the Thermovac process” (Mariner
et al. 2017) developed by ILRI and referred here as “ILRI protocol”
 Xerovac an old vaccine whose technology existed already at LCV (Worrall et al.
2000) but has never been marketed by the government because Malian farmers
don’t like its texture which they perceive as a sign of deterioration.
7
What tools are available in Mali to control PPR?
Xerovac protocol
(thermotolerant)
Nigeria 75/1
MEM + foetal sera 10%
Trehalose
18h (Ultra-rapid drying method)
1 ml
102,50
TCID50
ILRI protocol
(thermotolerant)
Nigeria 75/1
MEM + foetal sera 2%
Lactalbumine saccharose
63h (Sublimation)
2ml
102,50
TCID50
Ovipeste
(Thermolabile)
Nigeria 75/1
MEM + foetal sera 10%
Trehalose
36h (Sublimation)
1ml
102,50
TCID50
8
How do we produce the ILRI candidate thermotolerant
vaccine?
Strain Nigeria 75/1
Viral multiplication under MEM
+
Horse blood
Vero cells
+
Lactalbumine sacharose
Repartition for 2 ml/vial
Freezing – drying 63 hours
Vero cells Cytopatogenic effect Vaccine liquid Vaccine vials Lyophilisation
9
Internal Quality LCV
Control
External Quality
Control PANVAC
TESTS CONDUCTED
1- STERILITY
 Bacteria
 Bacteria/fungi
 Mycoplasma contamination
 BVD contaminatio
2- SAFETY
3-POTENCY
4-IDENTITY
5-STABILITY
 Vaccum
 Residual Moisture
Vaccine quality control
10
 Titration of Vaccine in liquid suspension (Ice vs Room Temperature 5 hours )
10 vials sampled/ dilution in 2ml /Titration by hour during 5h
 Titration of Vaccine on ice during 14 days (+4°C to +8°C)
60 vials sampled /titration of 4 vials per day/14 Days
 Titration of vaccine at room temperature for 14 Days (32.5°C to 38.5°C)
60 vials sampled /titration of 4 vials per day/14 Days
 Titration of vaccine incubated at 40°C and 45°C during 14 Days
60 vials sampled /titration of 8vials per incubation Temperature at day2; Day4;Day7j;Day10;Day14 ; Days21
Thermostability tests in the laboratory
11
ILRI thermotolerant vaccine quality control
Interne Control Quality LCV
Observed Titre/vial= 105.66 TCID50
Pass for all parameters measured
Externe Control Quality PANVAC
Observed Titre/vial= 105.3 TCID50
Pass for all parameters measured
QCR 1730-PANVAC Reference No:P188/709/58/20
QCR 1731-PANVAC Reference No:P188/709/58/20
12
Thermostability tests in the laboratory
5.66
5.45
5.3 5.25
5.1
4.95 4.9 4.8
4.65
4.5
4.35
4.2 4.15
3.95
3.8
5.66 5.65 5.6 5.55 5.6 5.55 5.45 5.5 5.5 5.4 5.45 5.5 5.45 5.4 5.45
1
1.5
2
2.5
3
3.5
4
4.5
5
5.5
6
Initial
titer
Day 1 Day 2 Day 3 Day 4 Day 5 Day 6 Day 7 Day 8 Day 9 Day
10
Day
11
Day
12
Day
13
Day
14
ILRI Vac under Lab T°32,5°C to 38,5°C ILRI Vac under Ice
Titer
10
y
TCID
50
/vial
Graphique: Titration of vaccine storage Lab room Temperature vs under ice during 14 Days
Minimum titer acceptable per vial= 104,5 TCID50
13
Thermostability tests in the laboratory
Graphique: Titration of vaccine incubated at 40°C and at 45°C during 14 Days
Minimum titer acceptable per vial= 104,5 TCID50
5.66
4.85
4.7 4.6
4.4 4.3
5.66
4.45
4.1
3.8
3.25
1
1.5
2
2.5
3
3.5
4
4.5
5
5.5
6
Initial titer Day 2 Day 4 Day 7 Day 10 Day 14
ILRI Vac incubation at 40°C ILRI Vac incubation at 45°C
Titer
10
y
TCID
50
/vial
14
Thermostability tests in the laboratory
Graphique: Titration of vaccine in liquid suspension under Ice vs under room Temperature 5 hours
Minimum titer acceptable per vial= 104,5 TCID50
5.3
5.15
5.1
4.9 4.9
4.75
5.3
5.25
5.2 5.2 5.2
4.95
4.4
4.5
4.6
4.7
4.8
4.9
5
5.1
5.2
5.3
5.4
Initial titer 1 hour 2 hours 3 hours 4 hours 5 hours
ILRI Suspension vaccine under room T° ILRI Suspension vaccine under Ice
Titer
10
y
TCID
50
/vial
15
Scenario 1
o Vaccine stored under ambient temperature from Lab to field
o 284 animals sampled and vaccinated after 3 to 5 days
Scenario 2
o Vaccine under thermal shocks (storage -20 °C to +33°C with
maximum field exposure at +47 °C)
o 162 animals sampled and vaccinated after 6 to 7 days
Scenario 3
o Vaccine stored permanently under cold chain from the
laboratory to the feet of the animal (-18°C to +19°C)
o 180 animals sampled and vaccinated after 8 to 9 days
 Total of 626 sera samples collected from sheep and goats in
three villages in Koutiala region
Study area : Sincina commune/Koutiala region
Vaccine under ambiant T° Vaccine under Ice°
Vaccine under Ice until animal’s feet°
Sample collection before vaccination
Thermostability tests in the field
16
Thermostability tests in the field
Table: Seroconversion rate one month post-vaccination following vaccine storage scenarios implemented in field
Scenarios/Statuts Doubtful Negative Positive Total
Seroconversion
rates %
Proportion
equality test
Scenario 1 (vaccine storage under
ambient Temperature) 1 5 278 284 97,88
X-squared =
1,9488
p-value =
0,3774
Scenario 2 (Vaccine under thermal
shocks (storage -20 °C to ±33°C) 0 2 160 162 98,76
Scenario 3 (Vaccine stored
permanently under cold chain) 1 0 179 180 99,44
Total 2 7 617 626 98,56
The vaccine maintained a satisfactory titer under different thermostability profiles in the laboratory.
Seroconversion rates in the field after vaccination was also good .
17
Next steps (2023)
‱ Sero-neutralization assays on the collected serums to measure rate of protection of
animals.
‱ Studies on production cost ongoing
‱ Cost benefit studies of thermotolerant vaccines
‱ Policy brief to present the innovation to the decision-makers
‱ Process for registration (UEMOA)
‱ Business models to scale up the vaccines and support greater availability of the
vaccine to increase coverage of livestock, especially in remote areas
18
Epidemiology and control of peste des petits ruminants (ECo-PPR)
The ECo-PPR program focuses on existing research gaps and aims to provide research support to ongoing
PPR control and eradication efforts in East and West Africa.
The program thanks all donors and organizations which globally support its work through their
contributions. Special thanks to partners including the CGIAR Initiative on Sustainable Animal Productivity
for Livelihoods, Nutrition and Gender inclusion
Thanks
THANK YOU

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Evaluation of a candidate thermotolerant vaccine against peste des petits ruminants in Mali

  • 1. Better lives through livestock Evaluation of a candidate thermotolerant vaccine against peste des petits ruminants in Mali Cheick A.K. Sidibe1, Amadou SĂ©ry1, Oumar Kantao1, Abdou Fall 2, Mamadou Niang3 and Michel Dione2 1 Central Veterinary Laboratory, Bamako, Mali 2International Livestock Research Institute, Dakar, Senegal 3Food and Agriculture Organization of the United Nations, Accra, Ghana Peste des petits ruminants Global Research and Expertise Network (PPR-GREN) meeting Montpellier, France, 7–9 December 2022
  • 2. 2 o PPR is a threat to livelihoods of millions of livestock farmers worldwide o PPR is endemic in Mali o Mali faces challenges in the control of PPR o National Strategic Plan for PPR control (PNS-PPR) o FAO/OMSA support PPR global eradication program PPR eradication challenges
  • 3. 3 What tools are available to control PPR? o Current effective vaccines (Nigeria 75/1 and Sungri strains)  Vaccines induce long-lived immunity  Vaccines are safe o Thermotolerant vaccines (technology available but not used)  Advantage for remote and high temperature areas  Reduce delivery cost (cold chain) o Test new vaccination strategies
  • 4. 4 Opportunities for a thermotolerant vaccine  Adapted product for the Sahel (temperatures of 25–45 degrees Celsius)  Decrease vaccine loss in the field  Meets stakeholders’ needs  Opportunities for commercialization in the region
  • 5. 5 Cold chain requirements for the current vaccine at LCV Fist storage in LCV Transportation Storage Ice until to the feet of animals Ovipeste : Nigeria 75/1 strains  Induce long-live immunity  Need of cold chain
  • 6. 6 A public-private partnership to produce PPR thermotolerant vaccines ILRI has partnered with Hester Biosciences Ltd of India to support the LCV of Mali to optimize protocols to produce two thermotolerant PPR vaccines:  “ILRI thermotolerant PPR vaccine produced by the Thermovac process” (Mariner et al. 2017) developed by ILRI and referred here as “ILRI protocol”  Xerovac an old vaccine whose technology existed already at LCV (Worrall et al. 2000) but has never been marketed by the government because Malian farmers don’t like its texture which they perceive as a sign of deterioration.
  • 7. 7 What tools are available in Mali to control PPR? Xerovac protocol (thermotolerant) Nigeria 75/1 MEM + foetal sera 10% Trehalose 18h (Ultra-rapid drying method) 1 ml 102,50 TCID50 ILRI protocol (thermotolerant) Nigeria 75/1 MEM + foetal sera 2% Lactalbumine saccharose 63h (Sublimation) 2ml 102,50 TCID50 Ovipeste (Thermolabile) Nigeria 75/1 MEM + foetal sera 10% Trehalose 36h (Sublimation) 1ml 102,50 TCID50
  • 8. 8 How do we produce the ILRI candidate thermotolerant vaccine? Strain Nigeria 75/1 Viral multiplication under MEM + Horse blood Vero cells + Lactalbumine sacharose Repartition for 2 ml/vial Freezing – drying 63 hours Vero cells Cytopatogenic effect Vaccine liquid Vaccine vials Lyophilisation
  • 9. 9 Internal Quality LCV Control External Quality Control PANVAC TESTS CONDUCTED 1- STERILITY  Bacteria  Bacteria/fungi  Mycoplasma contamination  BVD contaminatio 2- SAFETY 3-POTENCY 4-IDENTITY 5-STABILITY  Vaccum  Residual Moisture Vaccine quality control
  • 10. 10  Titration of Vaccine in liquid suspension (Ice vs Room Temperature 5 hours ) 10 vials sampled/ dilution in 2ml /Titration by hour during 5h  Titration of Vaccine on ice during 14 days (+4°C to +8°C) 60 vials sampled /titration of 4 vials per day/14 Days  Titration of vaccine at room temperature for 14 Days (32.5°C to 38.5°C) 60 vials sampled /titration of 4 vials per day/14 Days  Titration of vaccine incubated at 40°C and 45°C during 14 Days 60 vials sampled /titration of 8vials per incubation Temperature at day2; Day4;Day7j;Day10;Day14 ; Days21 Thermostability tests in the laboratory
  • 11. 11 ILRI thermotolerant vaccine quality control Interne Control Quality LCV Observed Titre/vial= 105.66 TCID50 Pass for all parameters measured Externe Control Quality PANVAC Observed Titre/vial= 105.3 TCID50 Pass for all parameters measured QCR 1730-PANVAC Reference No:P188/709/58/20 QCR 1731-PANVAC Reference No:P188/709/58/20
  • 12. 12 Thermostability tests in the laboratory 5.66 5.45 5.3 5.25 5.1 4.95 4.9 4.8 4.65 4.5 4.35 4.2 4.15 3.95 3.8 5.66 5.65 5.6 5.55 5.6 5.55 5.45 5.5 5.5 5.4 5.45 5.5 5.45 5.4 5.45 1 1.5 2 2.5 3 3.5 4 4.5 5 5.5 6 Initial titer Day 1 Day 2 Day 3 Day 4 Day 5 Day 6 Day 7 Day 8 Day 9 Day 10 Day 11 Day 12 Day 13 Day 14 ILRI Vac under Lab T°32,5°C to 38,5°C ILRI Vac under Ice Titer 10 y TCID 50 /vial Graphique: Titration of vaccine storage Lab room Temperature vs under ice during 14 Days Minimum titer acceptable per vial= 104,5 TCID50
  • 13. 13 Thermostability tests in the laboratory Graphique: Titration of vaccine incubated at 40°C and at 45°C during 14 Days Minimum titer acceptable per vial= 104,5 TCID50 5.66 4.85 4.7 4.6 4.4 4.3 5.66 4.45 4.1 3.8 3.25 1 1.5 2 2.5 3 3.5 4 4.5 5 5.5 6 Initial titer Day 2 Day 4 Day 7 Day 10 Day 14 ILRI Vac incubation at 40°C ILRI Vac incubation at 45°C Titer 10 y TCID 50 /vial
  • 14. 14 Thermostability tests in the laboratory Graphique: Titration of vaccine in liquid suspension under Ice vs under room Temperature 5 hours Minimum titer acceptable per vial= 104,5 TCID50 5.3 5.15 5.1 4.9 4.9 4.75 5.3 5.25 5.2 5.2 5.2 4.95 4.4 4.5 4.6 4.7 4.8 4.9 5 5.1 5.2 5.3 5.4 Initial titer 1 hour 2 hours 3 hours 4 hours 5 hours ILRI Suspension vaccine under room T° ILRI Suspension vaccine under Ice Titer 10 y TCID 50 /vial
  • 15. 15 Scenario 1 o Vaccine stored under ambient temperature from Lab to field o 284 animals sampled and vaccinated after 3 to 5 days Scenario 2 o Vaccine under thermal shocks (storage -20 °C to +33°C with maximum field exposure at +47 °C) o 162 animals sampled and vaccinated after 6 to 7 days Scenario 3 o Vaccine stored permanently under cold chain from the laboratory to the feet of the animal (-18°C to +19°C) o 180 animals sampled and vaccinated after 8 to 9 days  Total of 626 sera samples collected from sheep and goats in three villages in Koutiala region Study area : Sincina commune/Koutiala region Vaccine under ambiant T° Vaccine under Ice° Vaccine under Ice until animal’s feet° Sample collection before vaccination Thermostability tests in the field
  • 16. 16 Thermostability tests in the field Table: Seroconversion rate one month post-vaccination following vaccine storage scenarios implemented in field Scenarios/Statuts Doubtful Negative Positive Total Seroconversion rates % Proportion equality test Scenario 1 (vaccine storage under ambient Temperature) 1 5 278 284 97,88 X-squared = 1,9488 p-value = 0,3774 Scenario 2 (Vaccine under thermal shocks (storage -20 °C to ±33°C) 0 2 160 162 98,76 Scenario 3 (Vaccine stored permanently under cold chain) 1 0 179 180 99,44 Total 2 7 617 626 98,56 The vaccine maintained a satisfactory titer under different thermostability profiles in the laboratory. Seroconversion rates in the field after vaccination was also good .
  • 17. 17 Next steps (2023) ‱ Sero-neutralization assays on the collected serums to measure rate of protection of animals. ‱ Studies on production cost ongoing ‱ Cost benefit studies of thermotolerant vaccines ‱ Policy brief to present the innovation to the decision-makers ‱ Process for registration (UEMOA) ‱ Business models to scale up the vaccines and support greater availability of the vaccine to increase coverage of livestock, especially in remote areas
  • 18. 18 Epidemiology and control of peste des petits ruminants (ECo-PPR) The ECo-PPR program focuses on existing research gaps and aims to provide research support to ongoing PPR control and eradication efforts in East and West Africa. The program thanks all donors and organizations which globally support its work through their contributions. Special thanks to partners including the CGIAR Initiative on Sustainable Animal Productivity for Livelihoods, Nutrition and Gender inclusion Thanks

Editor's Notes

  1. Cette maladie est hautement contagieuse. Une fois introduite, le virus peut infecter jusqu’à 90% d’un troupeau, la maladie tuant alors de 30 Ă  70% des animaux infectĂ©s. En outre, leurs Ă©levages sont confrontĂ©s Ă  des pathologies, avec une existence des principaux virus Ă  tropisme respiratoire dĂ©jĂ  connus en Afrique de l’ouest (MaĂŻga et al,. 1992).
  2. Cette maladie est hautement contagieuse. Une fois introduite, le virus peut infecter jusqu’à 90% d’un troupeau, la maladie tuant alors de 30 Ă  70% des animaux infectĂ©s. En outre, leurs Ă©levages sont confrontĂ©s Ă  des pathologies, avec une existence des principaux virus Ă  tropisme respiratoire dĂ©jĂ  connus en Afrique de l’ouest (MaĂŻga et al,. 1992).
  3. Cette maladie est hautement contagieuse. Une fois introduite, le virus peut infecter jusqu’à 90% d’un troupeau, la maladie tuant alors de 30 Ă  70% des animaux infectĂ©s. En outre, leurs Ă©levages sont confrontĂ©s Ă  des pathologies, avec une existence des principaux virus Ă  tropisme respiratoire dĂ©jĂ  connus en Afrique de l’ouest (MaĂŻga et al,. 1992).
  4. Cette maladie est hautement contagieuse. Une fois introduite, le virus peut infecter jusqu’à 90% d’un troupeau, la maladie tuant alors de 30 Ă  70% des animaux infectĂ©s. En outre, leurs Ă©levages sont confrontĂ©s Ă  des pathologies, avec une existence des principaux virus Ă  tropisme respiratoire dĂ©jĂ  connus en Afrique de l’ouest (MaĂŻga et al,. 1992).
  5. Cette maladie est hautement contagieuse. Une fois introduite, le virus peut infecter jusqu’à 90% d’un troupeau, la maladie tuant alors de 30 Ă  70% des animaux infectĂ©s. En outre, leurs Ă©levages sont confrontĂ©s Ă  des pathologies, avec une existence des principaux virus Ă  tropisme respiratoire dĂ©jĂ  connus en Afrique de l’ouest (MaĂŻga et al,. 1992).
  6. La PAP est dĂ©finie comme Ă©tant le prix maximum qu’un acheteur consent Ă  payer pour une quantitĂ© donnĂ©e d’un bien ou d’un service Cependant pour cette Ă©tude, c’est la mĂ©thode fondĂ©e sur l’expression des Ă©leveurs utilisant l’évaluation contingente (« closed-ended contingent valuation ») au travers d’une enquĂȘte (PAP dĂ©clarĂ©e) , Collecte : ODK Analyse : SPSS et EXCEL quatre sĂ©quences de rĂ©ponse ont Ă©tĂ© possibles : « oui-oui » ; « oui-non » ; « non-oui » ; « non-non ». En fonction des diffĂ©rentes rĂ©ponses Ă©mises, la propension Ă  payer pour la vaccination a ainsi Ă©tĂ© dĂ©terminĂ©e en la classant entre diffĂ©rentes fourchettes. Ainsi pour « oui-oui », la propension Ă  payer des Ă©leveurs est supĂ©rieure Ă  l’offre la plus Ă©levĂ©e ; pour « oui-non », la PAP se situe entre l’offre initiale et la deuxiĂšme offre ; pour « non -oui », la PAP se situe en dessous de l’offre initiale ; pour « non-non », la PAP est infĂ©rieure Ă  l’offre la plus faible.
  7. La PAP est dĂ©finie comme Ă©tant le prix maximum qu’un acheteur consent Ă  payer pour une quantitĂ© donnĂ©e d’un bien ou d’un service Cependant pour cette Ă©tude, c’est la mĂ©thode fondĂ©e sur l’expression des Ă©leveurs utilisant l’évaluation contingente (« closed-ended contingent valuation ») au travers d’une enquĂȘte (PAP dĂ©clarĂ©e) , Collecte : ODK Analyse : SPSS et EXCEL quatre sĂ©quences de rĂ©ponse ont Ă©tĂ© possibles : « oui-oui » ; « oui-non » ; « non-oui » ; « non-non ». En fonction des diffĂ©rentes rĂ©ponses Ă©mises, la propension Ă  payer pour la vaccination a ainsi Ă©tĂ© dĂ©terminĂ©e en la classant entre diffĂ©rentes fourchettes. Ainsi pour « oui-oui », la propension Ă  payer des Ă©leveurs est supĂ©rieure Ă  l’offre la plus Ă©levĂ©e ; pour « oui-non », la PAP se situe entre l’offre initiale et la deuxiĂšme offre ; pour « non -oui », la PAP se situe en dessous de l’offre initiale ; pour « non-non », la PAP est infĂ©rieure Ă  l’offre la plus faible.
  8. La PAP est dĂ©finie comme Ă©tant le prix maximum qu’un acheteur consent Ă  payer pour une quantitĂ© donnĂ©e d’un bien ou d’un service Cependant pour cette Ă©tude, c’est la mĂ©thode fondĂ©e sur l’expression des Ă©leveurs utilisant l’évaluation contingente (« closed-ended contingent valuation ») au travers d’une enquĂȘte (PAP dĂ©clarĂ©e) , Collecte : ODK Analyse : SPSS et EXCEL quatre sĂ©quences de rĂ©ponse ont Ă©tĂ© possibles : « oui-oui » ; « oui-non » ; « non-oui » ; « non-non ». En fonction des diffĂ©rentes rĂ©ponses Ă©mises, la propension Ă  payer pour la vaccination a ainsi Ă©tĂ© dĂ©terminĂ©e en la classant entre diffĂ©rentes fourchettes. Ainsi pour « oui-oui », la propension Ă  payer des Ă©leveurs est supĂ©rieure Ă  l’offre la plus Ă©levĂ©e ; pour « oui-non », la PAP se situe entre l’offre initiale et la deuxiĂšme offre ; pour « non -oui », la PAP se situe en dessous de l’offre initiale ; pour « non-non », la PAP est infĂ©rieure Ă  l’offre la plus faible.
  9. La PAP est dĂ©finie comme Ă©tant le prix maximum qu’un acheteur consent Ă  payer pour une quantitĂ© donnĂ©e d’un bien ou d’un service Cependant pour cette Ă©tude, c’est la mĂ©thode fondĂ©e sur l’expression des Ă©leveurs utilisant l’évaluation contingente (« closed-ended contingent valuation ») au travers d’une enquĂȘte (PAP dĂ©clarĂ©e) , Collecte : ODK Analyse : SPSS et EXCEL quatre sĂ©quences de rĂ©ponse ont Ă©tĂ© possibles : « oui-oui » ; « oui-non » ; « non-oui » ; « non-non ». En fonction des diffĂ©rentes rĂ©ponses Ă©mises, la propension Ă  payer pour la vaccination a ainsi Ă©tĂ© dĂ©terminĂ©e en la classant entre diffĂ©rentes fourchettes. Ainsi pour « oui-oui », la propension Ă  payer des Ă©leveurs est supĂ©rieure Ă  l’offre la plus Ă©levĂ©e ; pour « oui-non », la PAP se situe entre l’offre initiale et la deuxiĂšme offre ; pour « non -oui », la PAP se situe en dessous de l’offre initiale ; pour « non-non », la PAP est infĂ©rieure Ă  l’offre la plus faible.
  10. La PAP est dĂ©finie comme Ă©tant le prix maximum qu’un acheteur consent Ă  payer pour une quantitĂ© donnĂ©e d’un bien ou d’un service Cependant pour cette Ă©tude, c’est la mĂ©thode fondĂ©e sur l’expression des Ă©leveurs utilisant l’évaluation contingente (« closed-ended contingent valuation ») au travers d’une enquĂȘte (PAP dĂ©clarĂ©e) , Collecte : ODK Analyse : SPSS et EXCEL quatre sĂ©quences de rĂ©ponse ont Ă©tĂ© possibles : « oui-oui » ; « oui-non » ; « non-oui » ; « non-non ». En fonction des diffĂ©rentes rĂ©ponses Ă©mises, la propension Ă  payer pour la vaccination a ainsi Ă©tĂ© dĂ©terminĂ©e en la classant entre diffĂ©rentes fourchettes. Ainsi pour « oui-oui », la propension Ă  payer des Ă©leveurs est supĂ©rieure Ă  l’offre la plus Ă©levĂ©e ; pour « oui-non », la PAP se situe entre l’offre initiale et la deuxiĂšme offre ; pour « non -oui », la PAP se situe en dessous de l’offre initiale ; pour « non-non », la PAP est infĂ©rieure Ă  l’offre la plus faible.
  11. La PAP est dĂ©finie comme Ă©tant le prix maximum qu’un acheteur consent Ă  payer pour une quantitĂ© donnĂ©e d’un bien ou d’un service Cependant pour cette Ă©tude, c’est la mĂ©thode fondĂ©e sur l’expression des Ă©leveurs utilisant l’évaluation contingente (« closed-ended contingent valuation ») au travers d’une enquĂȘte (PAP dĂ©clarĂ©e) , Collecte : ODK Analyse : SPSS et EXCEL quatre sĂ©quences de rĂ©ponse ont Ă©tĂ© possibles : « oui-oui » ; « oui-non » ; « non-oui » ; « non-non ». En fonction des diffĂ©rentes rĂ©ponses Ă©mises, la propension Ă  payer pour la vaccination a ainsi Ă©tĂ© dĂ©terminĂ©e en la classant entre diffĂ©rentes fourchettes. Ainsi pour « oui-oui », la propension Ă  payer des Ă©leveurs est supĂ©rieure Ă  l’offre la plus Ă©levĂ©e ; pour « oui-non », la PAP se situe entre l’offre initiale et la deuxiĂšme offre ; pour « non -oui », la PAP se situe en dessous de l’offre initiale ; pour « non-non », la PAP est infĂ©rieure Ă  l’offre la plus faible.
  12. La PAP est dĂ©finie comme Ă©tant le prix maximum qu’un acheteur consent Ă  payer pour une quantitĂ© donnĂ©e d’un bien ou d’un service Cependant pour cette Ă©tude, c’est la mĂ©thode fondĂ©e sur l’expression des Ă©leveurs utilisant l’évaluation contingente (« closed-ended contingent valuation ») au travers d’une enquĂȘte (PAP dĂ©clarĂ©e) , Collecte : ODK Analyse : SPSS et EXCEL quatre sĂ©quences de rĂ©ponse ont Ă©tĂ© possibles : « oui-oui » ; « oui-non » ; « non-oui » ; « non-non ». En fonction des diffĂ©rentes rĂ©ponses Ă©mises, la propension Ă  payer pour la vaccination a ainsi Ă©tĂ© dĂ©terminĂ©e en la classant entre diffĂ©rentes fourchettes. Ainsi pour « oui-oui », la propension Ă  payer des Ă©leveurs est supĂ©rieure Ă  l’offre la plus Ă©levĂ©e ; pour « oui-non », la PAP se situe entre l’offre initiale et la deuxiĂšme offre ; pour « non -oui », la PAP se situe en dessous de l’offre initiale ; pour « non-non », la PAP est infĂ©rieure Ă  l’offre la plus faible.
  13. La PAP est dĂ©finie comme Ă©tant le prix maximum qu’un acheteur consent Ă  payer pour une quantitĂ© donnĂ©e d’un bien ou d’un service Cependant pour cette Ă©tude, c’est la mĂ©thode fondĂ©e sur l’expression des Ă©leveurs utilisant l’évaluation contingente (« closed-ended contingent valuation ») au travers d’une enquĂȘte (PAP dĂ©clarĂ©e) , Collecte : ODK Analyse : SPSS et EXCEL quatre sĂ©quences de rĂ©ponse ont Ă©tĂ© possibles : « oui-oui » ; « oui-non » ; « non-oui » ; « non-non ». En fonction des diffĂ©rentes rĂ©ponses Ă©mises, la propension Ă  payer pour la vaccination a ainsi Ă©tĂ© dĂ©terminĂ©e en la classant entre diffĂ©rentes fourchettes. Ainsi pour « oui-oui », la propension Ă  payer des Ă©leveurs est supĂ©rieure Ă  l’offre la plus Ă©levĂ©e ; pour « oui-non », la PAP se situe entre l’offre initiale et la deuxiĂšme offre ; pour « non -oui », la PAP se situe en dessous de l’offre initiale ; pour « non-non », la PAP est infĂ©rieure Ă  l’offre la plus faible.
  14. La PAP est dĂ©finie comme Ă©tant le prix maximum qu’un acheteur consent Ă  payer pour une quantitĂ© donnĂ©e d’un bien ou d’un service Cependant pour cette Ă©tude, c’est la mĂ©thode fondĂ©e sur l’expression des Ă©leveurs utilisant l’évaluation contingente (« closed-ended contingent valuation ») au travers d’une enquĂȘte (PAP dĂ©clarĂ©e) , Collecte : ODK Analyse : SPSS et EXCEL quatre sĂ©quences de rĂ©ponse ont Ă©tĂ© possibles : « oui-oui » ; « oui-non » ; « non-oui » ; « non-non ». En fonction des diffĂ©rentes rĂ©ponses Ă©mises, la propension Ă  payer pour la vaccination a ainsi Ă©tĂ© dĂ©terminĂ©e en la classant entre diffĂ©rentes fourchettes. Ainsi pour « oui-oui », la propension Ă  payer des Ă©leveurs est supĂ©rieure Ă  l’offre la plus Ă©levĂ©e ; pour « oui-non », la PAP se situe entre l’offre initiale et la deuxiĂšme offre ; pour « non -oui », la PAP se situe en dessous de l’offre initiale ; pour « non-non », la PAP est infĂ©rieure Ă  l’offre la plus faible.