The purpose of this study was to combine disease transmission quantification methods with CSF clinical signs quantification tools to investigate whether clinical signs, considered as infectivity markers, may allow us to calculate reliable estimates for disease transmission parameters. It was concluded that a models comparison (Bayes information criterion) showed a better fit of the clinical-based models, for both strains.

For more information the full article can be found at http://www.sciencedirect.com/science/journal/03781135