Modeling risk of tick-borne diseases

We are looking for an undergraduate researcher on a project modeling the risk of tick-borne diseases. The main task of the undergraduate researcher would be to research literature on tick-borne diseases and to collect publicly available data that are essential for building a new epidemiological disease model. Interested students will gain first experience in building a statistical model based on epidemiological data using R.

Name of research group, project, or lab
Perkins Lab
Website
https://perkinslab.weebly.com/
Why join this research group or lab?

Are you interested to understand how disease predictions are made?

Representative publication
Ecography - 2024 - Mowry - Improving distribution models of sparsely documented disease vectors by incorporating.pdf
Logistics Information:
Project categories
Applied and Computational Mathematics and Statistics
Biological Sciences
Student ranks applicable
Sophomore
Junior
Senior
Student qualifications

Students with interest in infectious disease and/or statistical modeling.

Hours per week
1 credit / 3-6 hours
Compensation
Research for Credit
Number of openings
1
Techniques learned

Literature research, biostatistics using R.

Project start
Spring Semester 2025
Contact Information:
Mentor
Anita Lerch
alerch2@nd.edu
Assistant Research Professor
Name of project director or principal investigator
Alex Perkins
Email address of project director or principal investigator
taperkins@nd.edu
1 sp. | 3 appl.
Hours per week
1 credit / 3-6 hours
Project categories
Applied and Computational Mathematics and Statistics (+1)
Applied and Computational Mathematics and StatisticsBiological Sciences