Researchers consider herd movements to help eradicate...( In 2008 the U.S. Department of Agric...),Health

In 2008, the U.S. Department of Agriculture spent $31 million to depopulate herds of cattle affected by bovine tuberculosis (TB), even though the risk of the disease has been significantly reduced in the U.S. over the past several decades. Worldwide, especially in developing countries, the disease persists, which could threaten the U.S. cattle industry in terms of international trade.

The development of new tools to better understand bovine TB and to help disease eradication efforts by the USDA was the focus of a workshop held at the National Institute for Mathematical and Biological Synthesis (NIMBioS), July 7-9, on the University of Tennessee, Knoxville, campus.

The workshop brought together experts from around the world to share ideas about how mathematical modeling approaches for cattle movements in the United States may influence disease transmission models as well as inform policies and programs for reducing the spread of bovine TB. Scientists attending the workshop include those with expertise in mathematical network and disease spread models, as well as scientists with expertise in cattle movements, livestock industry practices, and the bovine TB agent.

"NIMBioS is uniquely situated to foster such collaborations such as this one because one of its specific priorities is bringing together mathematics and biology researchers to address problems that are important to the animal industry," said Agricola Odoi, workshop co-organizer and an assistant professor in the department of comparative medicine at the University of Tennessee School of Veterinary Medicine.

One of the primary goals of the workshop is to assist the USDA in identifying new and novel methods for evaluating control options for bovine TB.

"There is a lot we don't know or understand about cattle movement across the U.S.," said USDA veterinarian Katie Portacci. "I think the expertise that NIMBioS is bringing to the workshop will help us better unders
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