Resurep

Research indicates that the system is capable of capturing a significant volume of data; for example, a study on ASF analyzed 416 suspected cases that originated specifically from RESUREP notifications. 2. Key Strengths

Efforts are currently underway to improve , moving toward a more decentralized model where regional and local committees have dedicated budgets to coordinate cross-sector investigations. Challenges and Future Outlook resurep

: Identifying unusual wildlife mortality or livestock illness at the local level. Research indicates that the system is capable of

| Risk | Mitigation | |------|-------------| | AI false positives during high-traffic events | Human-in-the-loop override; confidence threshold sliders | | Client over-reliance on automation | Mandatory quarterly crisis drills; “auto-response only” limited to low-risk incidents | | Data privacy for internal comms | Role-based encryption keys; optional local processing | Challenges and Future Outlook : Identifying unusual wildlife

Resurep provides a closed-loop workflow: