What is it about?

Factors influencing the number of LD cases range from environmental to system-level variables, but little is known about the influence of vegetation (canopy, understory, and ground cover) and human behavioral risk on LD cases and exposure to infected ticks. We determined the influence of various risk factors on the risk of exposure to infected ticks on 22 different walkways using multinomial logistic regression.

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Why is it important?

The model classifies the walkways into high-risk and low-risk categories with 90% accuracy, in which the understory, human risk, and the number of rodents are significant indicators. These factors should be managed to control the risk of transmission of LD to humans.

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This page is a summary of: Risk Factors of Lyme Disease: An Intersection of Environmental Ecology and Systems Science, Healthcare, April 2019, MDPI AG,
DOI: 10.3390/healthcare7020066.
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