Maxent Modeling of Plague
Maxent, a machine-learning method can be used to develop niche-based models from presence-only data, for mapping the potential distribution of plague foci. Maxent models were constructed using geocoded seroprevalence data from surveillance of California ground squirrels (Spermophilus beecheyi) as case points and Worldclim bioclimatic data as predictor variables, and compared and validated using area under the receiver operating curve (AUC) statistics. Additionally, model results were compared to locations of positive and negative coyote (Canis latrans) samples, in order to determine the correlation between Maxent model predictions and areas of plague risk as determined via wild carnivore surveillance.
What will the impacts of climate change be on the emergence of infectious diseases, including plague?
Utility and readiness
Configurable Generic Framework
|URL (source code)||http://www.cs.princeton.edu/~schapire/maxent/|