Herd-level disease monitoring integrates multiple data sources to identify welfare problems earlier and guide targeted interventions.
Individual animal health monitoring is necessary but insufficient for population-level welfare management. Herd-level monitoring integrating slaughter feedback, mortality data, serology, and production metrics provides a more complete welfare picture and identifies problems that individual observation misses. This data-driven approach to welfare management enables targeted improvement rather than blanket intervention.