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RSVP-A is a real-time and full-time livestock health monitoring system
for the early detection and reporting of disease outbreaks. The system
has two objectives: (1) to improve day-to-day animal health monitoring
and production, (2) to provide an early detection and reporting system
to mitigate bioterrorist attacks on US livestock.
RSVP-A will use Sandia National Laboratory's(SNL) currently operational
RSVP-H (humans) software application as a template for developing the animal
model. Kansas State University (KSU) College of Veterinary Medicine
and New Mexico State University (NMSU) College of Agriculture will develop
specific syndromes for beef cattle, dairy cattle, and hogs. SNL, KSU and
NMSU will jointly develop advanced analysis techniques and algorithms for
monitoring and forecasting disease patterns. The system will adapt
personal digital assistance (PDA) devices to allow field reporting by veterinarians
and stockers.
The Concept is to build an internet-based network that links ranchers,
stockers in stockyards, and veterinarians with USDA/APHIS and emergency
planners to expedite the response to infectious animal disease outbreaks.
It will be a continuously interactive system for lay-stockers and veterinarians
to report large-animal syndromes associated with dangerous, infectious
disease outbreaks (location by county, type of animal, syndrome, environmental
conditions, and time data). RSVP-Animal will mitigate agroterrorism
consequences by quick detection of infectious diseases, reduced economic
impact on agri-business, and reduce the psychological impact on the public.
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