|Title||Combining public participatory surveillance and occupancy modelling to predict the distributional response of Ixodes scapularis to climate change|
|Publication Type||Journal Article|
|Year of Publication||2018|
|Authors||J.Lieske, D, Lloyd, V|
|Date Published||March 2018|
|Keywords||borrelia, burgdorferi, citizen, disease, lyme, new brunswick, science, ticks|
This research demonstrates that predictive statistical modelling of multi-year surveillance information is an efficient way to identify areas where I. scapularis is most likely to occur, and can be used to guide subsequent active sampling efforts in order to better understand fine scale species distributional patterns.