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  • Presentation | GH41A: Advancing Environmental Risk Assessment for Early Warning of Health Impacts Through Integrated Remote Sensing and Earth Observations Technologies, Data Networks, Chemical Analysis, and Machine Learning Tools I Oral
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  • GH41A-01: Assessing the Impact of Climate and Land Cover on Northeast Ixodes scapularis Populations
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Author(s):
Joseph Savage, Dartmouth College (First Author, Presenting Author)
Jonathan Winter, Dartmouth College
Matthew Ayres, Dartmouth College


Tick-borne diseases account for a majority of cases spread by vectors. From 2004 to 2016, 82% of reported tick-borne diseases were Lyme disease. The prevalence of Lyme disease is particularly concerning: cases have increased 400% since 2004, and since 1993, the number of counties classified as high-incidence for Lyme disease has more than quadrupled.


We used tick abundance data from public health agencies and academic institutions across the Northeastern US to create a dataset of I. scapularis, or blacklegged tick, abundance across the Northeast. Tick surveillance was conducted with a variety of methods and for different lengths of time in five northeastern states during the period of 1981-2021. This dataset presents mean annual tick abundance in the counties of these states.


We analyzed this dataset to explore the impacts of climate and land cover on changes in tick abundance. Specifically, we assessed the effects of climate and land cover variables that are known to have strong impacts on the life cycle of the blacklegged tick and the presence of wildlife that ticks feed on. We find a significant effect of climate and land cover on tick populations, and demonstrate methods that could be applied to similarly spread diseases.




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