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Incorporating uncertainty into the optimal development of disease control measures

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If you have a question about this talk, please contact Jeongmin Choi .

Plant diseases result in significant economic and environmental damage, therefore control measures are often deployed to try to minimise such impacts. However, due to the uncertainty in the future disease, combined with the large sunk costs of disease control it can be beneficial to wait and learn more about the epidemic before deploying control measures. In this talk I will show how mathematical modelling techniques can be used to determine the optimal time at which control measures should be deployed, given the uncertainty in the future spread of the disease.

This talk is part of the Plant Sciences Departmental Seminars series.

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