Vanessa Meadu

SEBI-Livestock has launched a prototype evidence synthesis dashboard that consolidates recent literature on cattle reproductive performance across nine sub-Saharan African countries.

New five-year grant supports programme hosted at Royal (Dick) School of Veterinary Studies, University of Edinburgh 

New Investment Roadmap aims to enhance access to digital tools that boost livestock productivity and unlock data for better methane management.

Groundbreaking consultation brings together 130 experts from 33 countries to strengthen livestock health evidence synthesis.

We are pleased to announce that we have joined the Livestock Environmental Assessment and Performance Partnership (LEAP), hosted by the Food and Agriculture Organization of the United Nations (FAO),

We are proud to announce that SEBI-Livestock Team has been awarded Science / Research Team of the Year at the prestigious Easter Bush Staff Recognition Awards 2024!

We’re thrilled to welcome Julie Koehler to our team as the Head of Gender (Data in Livestock Development). With 20 years of experience spanning humanitarian response, development, and academia, Julie brings a wealth of knowledge and passion to our organization. Let’s get to know her better through this Q&A.
 

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. 

Ceva Santé Animale looks back on the key factors that led to a successful livestock breed improvement programme in Burkina Faso.

An innovative machine learning approach spearheaded by SEBI-Livestock and partners could help advance research on antimicrobial resistance (AMR).

Open-source videos can help guide smallholder farmers in low-and middle-income countries to make better decisions

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and making sense of the existing body of literature and evidence, which is scattered across multiple databases or even unpublished.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.

Innovative data-driven tool will accelerate collection of crucial evidence