Senegal's surveillance system for zoonotic diseases runs on data that animal health workers, human clinics and laboratories do not systematically share with each other, according to a new analysis published in Frontiers.

The paper, titled "Data sharing for zoonoses surveillance in Senegal: challenges and opportunities," examines how information flows — and stalls — between the veterinary and public health sectors in a country where livestock, wildlife and human populations interact daily.

Why does sharing matter at the exam table?

Zoonotic surveillance only works when a signal detected in animals reaches the people who track human illness, and vice versa. A veterinarian in a rural Senegalese district may be the first to see an unusual cluster of abortions in cattle or deaths in poultry. If that observation never enters a shared system, human health authorities lose their earliest warning. The Frontiers analysis frames this as the core structural problem: the data exists, but it sits in silos.

The authors identify both obstacles and openings. Challenges include fragmented institutional responsibilities and the absence of routine channels for cross-sector exchange. Opportunities center on building mechanisms that connect existing surveillance actors rather than creating new ones from scratch.

What is the wider context?

The paper contributes to a growing body of work on One Health surveillance in West Africa, where donors and governments have pushed for integrated human-animal-environmental disease monitoring. Senegal, with its livestock trade corridors and endemic zoonotic risks, is a frequent case study for how national systems handle diseases that cross the species boundary.

For veterinary practitioners and public health officials, the relevance is straightforward. Surveillance reform in Senegal will be decided less by new diagnostics than by data governance — who reports, to whom, on what timeline, and under what mandate. The Frontiers analysis offers a mapped starting point for that conversation.

How Senegal's institutions respond to these identified gaps will shape how quickly animal health signals can inform human disease preparedness in the region.