Forecasting Tick-borne Diseases in the Western U.S.

OUR TEAM

Members of the project team include Univ. of Idaho, Univ. of Nevada (Reno), Univ. of New Mexico and Dartmouth College

meet the team

PROJECT OVERVIEW

Learn how data scientists plan to assimilate data and develop spatio-temporal models of tick dynamics

about the project

VISUALIZATION

An interactive plot illustrates the relationship between project participants and project components

interactive plot

TickBase News

Andrew Nuss Recently Honored with NSF CAREER Award

Assistant Professor Andrew Nuss recently received a $1.17M NSF CAREER Award. Nuss is a faculty[…]

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U of I Grad Student Wins Illustrated Paper Competition

University of Idaho graduate student Zhe Wang received first place award for the American Association[…]

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U of I Grad Student Joins Inaugural Team of Fellows at CORE Institute

University of Idaho graduate student Zhe Wang has been accepted into the Convergence Research (CORE)[…]

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Project Synopsis

Tick-borne diseases (TBDs) account for a staggering 94% of human illnesses due to vector-borne diseases in the U.S. The mission of this project is to assimilate disparate datasets with spatio-temporal, environmental and human predictors and to leverage cyberinfrastructure and data science to enhance forecasting of TBDs in the western US.

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Meet Our Team

The core members of the project team are from University of Idaho, University of Nevada (Reno), University of New Mexico and Dartmouth College (New Hampshire)

meet the team
Contact Us

Contact Us

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