Model predicts level of surveillance needed for early invasive-disease detection
SEP 02, 2015
DOI: 10.1063/PT.5.029174
BBC : The early detection of invasive diseases is important in protecting crops, but crop surveillance is expensive. Now Stephen Parnell of the University of Salford, UK, and his colleagues have developed a model to determine the minimum amount of surveillance needed to detect invasive diseases before they reach epidemic levels. The model is based on current surveillance efforts and their ability to detect diseases and at what level of incidence. By defining the maximum level of incidence a disease should be allowed to reach before it is detected, the model can tell what level of surveillance is needed.
© 2015 American Institute of Physics
