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Ecological niche modeling and infectious disease

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If you have a question about this talk, please contact Danielle Stretch.

Ecological niche modelling is a set of computational techniques that predicts complete geographic ranges of species based on environmental data from the locations in which individuals of a species have been found. This approach is widely used in evolutionary biology and ecology and particularly useful when data about species are sparse or individuals are difficult to locate, such as rare organisms or cryptic organisms. Naturally, predicting the geographic ranges of diseases, particularly newly identified or rarely reported diseases caused by ‘environmental’ microbes would be a beneficial pursuit. We will attempt to review how the techniques work, have been used, and in what ways they are appropriate to use in the context of microbial pathogens.

The talk is part of the CCBI seminar series and the DTP graduate course Reviews in Computational Biology, but is open to all attendees.

This talk is part of the Computational and Systems Biology series.

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