News and updates on research on livestock value chains by the International Livestock Research Institute and partners

Thursday, June 17, 2010

New journal article: Predictive model developed to improve rinderpest control in Somalia

A newly developed predictive model shows potential to improve surveillance and control of rinderpest in central and southern Somalia.

The model combines spatial and network factors to identify point locations and areas with high risk of presence of rinderpest. These are then used to generate a risk map that can help in prioritizing disease surveillance and control activities. This is particularly important in Somalia where veterinary resources are scarce.

In addition to improving surveillance efforts for rinderpest, the integration of spatial and network parameters in the model allows for its application to other livestock species (such as sheep, goats and camels) and diseases in nomadic pastoral systems.

The development of this new model is described in a journal article published in the May 2010 issue of the open access journal BMC Veterinary Research.

The article is based on research carried out within the framework of the Improvement and Diversification of Somali Livestock Trade and Marketing project implemented by ILRI and Terra Nuova. Tom Otieno, formerly with the ILRI Market Opportunities theme, is a co-author.

Read the article here

Ortiz-Pelaez A, Pfeiffer DU, Tempia S, Otieno FT, Aden HH and Costagli R. 2010. Risk mapping of rinderpest sero-prevalence in central and southern Somalia based on spatial and network risk factors. BMC Veterinary Research 6:22.

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