From Static Reports to Interactive Insights: Unlocking Livestock Strategy Data
Explore livestock sector priorities with our interactive Livestock Strategy Documents Dashboard.
Explore livestock sector priorities with our interactive Livestock Strategy Documents Dashboard.
Over the last half-year, SEBI-Livestock has been working with partners across the University of Edinburgh to explore how data science and AI can help address persistent livestock data challenges.
SEBI-Livestock has launched a prototype evidence synthesis dashboard that consolidates recent literature on cattle reproductive performance across nine sub-Saharan African countries.
The Livestock Disease Evidence Consultation was designed to provide an opportunity to gather input from the international expert community on important data needs, gaps, and sources, to further strengthen and refine the evidence synthesis methods used to build this evidence base.
Groundbreaking consultation brings together 130 experts from 33 countries to strengthen livestock health evidence synthesis.
Bayley Martin-Towers, a student of the Biomedical Sciences degree programme, recently undertook an undergraduate biomedical sciences project focused on improving understanding of anthelmintic resistance in farmed ruminants.
Our colleagues Julie Koehler, Katherine Dirsmith, and Fiona Allan recently took part in the Food and Agriculture Organisation of the United Nations (FAO) Peste des Petits Ruminants (PPR) Socioeconomic Working Group meeting, hosted at the Livestock Research Institute (ILRI) campus in Nairobi.
A recent study published in Tropical Animal Health and Production has provided a comprehensive overview of cattle reproductive performance across several sub-Saharan African countries.
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and making sense of the existing body of literature and evidence, which is scattered across multiple databases or even unpublished.
The systematic evidence map allows users to quickly take stock of evidence on livestock disease prevalence and mortality. The map reveals the distribution and quantity of available evidence, and highlights areas for further investment and research.