Goats in Abergelle Amhara, Ethiopia (photo credit: ILRI\Zerihun Sewunet).

Addressing the fragmented landscape of animal health data

Good data on livestock disease and mortality is essential for making informed investments in animal health, and to improve productivity and incomes. But decision-makers face enormous challenges when it comes to grasping and making sense of the existing body of literature and evidence, which is scattered across multiple databases or even unpublished.

Livestock disease evidence landscape in Ethiopia
Livestock disease evidence landscape in Ethiopia. Click to visit the live map.

 

The systematic evidence map for Ethiopia pulls together insights on cattle and small ruminant health and mortality, drawn from over 700 research articles published over the last decade. We aim to make it easier for researchers, investors and decision makers to quickly take stock of the available evidence, identify evidence gaps, and indicate areas for further research and investment. The results are presented via an interactive tool which is still under construction – comments are welcome!

Among its main findings, the map reveals that there are a number of key diseases of international concern which have been under-studied in Ethiopia, as well as relatively few papers on diseases in small ruminants compared to cattle.

Read the research summary:

Learn more:

On 7 April 2022 (15:00-16:30 UTC) join Dr. Louise Donnison, Senior Data Scientist at SEBI-Livestock for a discussion on Platforms for agricultural data: how to address the fragmented landscape. This session is part of the Improving Global Agricultural Data (IGAD) Community of Practice meeting.

 

Header photo credit: ILRI / Z. Sewunet (Source)


Vanessa Meadu, Communications and Knowledge Exchange Specialist, SEBI-Livestock
Page created: 04 Apr 2022 Page last reviewed: 04 Apr 2022