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Kansas State University

K-State Engineers Fine Tune Computer Models to Predict, Prevent Spread of Foot-and-Mouth Disease; Depending on Situation, Vaccination or Culling Best Prevention

Published in TB and Outbreaks Week, February 2nd, 2010

Combining technology and animal health, a group of Kansas State University researchers is developing a more effective way to predict the spread of foot-and-mouth disease and the impact of preventative measures.

The researchers are finding that if a foot-and-mouth disease outbreak is not in the epidemic stage, preemptive vaccination is a minimally expensive way to halt the disease's spread across a network of animals. But if there's a high probability of infection, computer models show that culling strategies are better.

"We are trying to do predictive as well as preventative modeling using a network-based approach," said Sohini Roy Chowdhury, a...

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