Inception Meeting:
Scaling up the delivery of ITM in Tanzania
through facilitation of ITM delivery value chain
Bagamoyo, 29 September 2015
Henry Kiara

Aims of the Project and Expected
outputs

Rationale
• ECF is a major constraint to livestock productivity
in ECA
• Economic loses in Tanzania est. at
 Smallholder dairy-US$4.4million (McLeod and
Kristianson 1999)
 Pastoral and agropastoral-US$ 129.5million (Minjau
&McLeod 2003)
 Losses from all TBD-US$364 (ECF accounted for 68%)
Kivaria et al.2006)
• Does not include “fear of ECF”

Rationale
• Available control options have serious limitations
 tick control –acaricide resistance, management
 Chemotherapy-high cost, early diagnosis
 Zero-grazing-not absolute, not feasible in some areas
• ITM has been shown to reduce mortality to less
than 2% in all production systems (Di Giulio et
al.2009)
• Although up to 1million cattle have been
immunised this is approx.3.5% the cattle at risk
• Hence the need to find new ways to upscale the
distribution

Main challenges with the current delivery
• Limited coverage by existing distributors
• Trained vaccinators but lacking equipment-lack of
financing mechanisms
• Limited cold chain infrastructure-LN, refrigeration
(or too long a chain)
• Inadequate business orientation-vaccinators
• Limited awareness or incorrect information about
the vaccine

USAID Project
• Partners
• Government of Tanzania
• GALVmed
• Existing ITM distributors
• Other partners-to be identified during project
implementation
• Duration: 2 years July 2015-June 2017
• Grant: USD 0.5million per year

Objectives
1. Expand the distribution reach of the vaccine
o Additional distributors
o Train additional vaccinators for existing and new
distributors
o standardised training, certification,oversight
2. Sensitization and awareness creation
o Farmer sensitisation
o Media, radio etc.
o Regulatory authorities

Objectives
3. Improving Vaccine delivery
o Involve other animal health
actors in ITM-CBOs,
DBHs,CBOs,Coops, POs, DMHs
o Input dealership-Agrovet shops
o Bundling services: AI networks to
combine with ITM

Expected outputs
• New jobs created
• Number of improved agricultural policies developed
• Number of livestock keepers using ITM
• Number of individuals who have been trained in ITM
• Number of groups-producers organizations, women's groups,
trade and business associations, and community based
organizations who have been supported
• Number PPP created through the project
• Number of households benefiting directly
• Number of cattle vaccinated