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University of Illinois at Urbana-Champaign

Predicting the Risk of Lyme Disease in the Midwestern United States: Surveillance Methods, Environmental Determinants, and Geographic Distribution

Abstract

dc:description

The use of a combination of surveillance methods is the most effective way of assessing Lyme disease risk in an area where risk is unknown. Significant environmental determinants can be identified using a GIS, and a risk map can be generated to detect unknown endemic areas and to predict where new foci may develop.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Veterinary Pathobiology
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Guerra, Marta Alicia
Contributors dc:contributor
  • Uriel Kitron

Subjects

dc:subject × 1

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
(MiAaPQ)AAI9990011
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/87644

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Guerra, Marta Alicia. Predicting the Risk of Lyme Disease in the Midwestern United States: Surveillance Methods, Environmental Determinants, and Geographic Distribution. Dissertation thesis, University of Illinois at Urbana-Champaign, 2015. http://hdl.handle.net/2142/87644