[HTML][HTML] The utility of a maximum entropy species distribution model for Ixodes scapularis in predicting the public health risk of Lyme disease in Ontario, Canada
Lyme disease is an emerging public health threat in Ontario, Canada due to ongoing range
expansion of the tick vector, Ixodes scapularis. Tick density is an important predictor of
human Lyme disease risk and is typically measured using active tick surveillance via drag
sampling, which is time and resource-intensive. New cost-effective tools are needed to
augment current surveillance activities. Our objective was to evaluate the ability of a
maximum entropy (Maxent) species distribution model to predict I. scapularis density in three …
expansion of the tick vector, Ixodes scapularis. Tick density is an important predictor of
human Lyme disease risk and is typically measured using active tick surveillance via drag
sampling, which is time and resource-intensive. New cost-effective tools are needed to
augment current surveillance activities. Our objective was to evaluate the ability of a
maximum entropy (Maxent) species distribution model to predict I. scapularis density in three …