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Scale-dependent approaches to modeling spatial epidemiology of chronic wasting disease - Special Report 2007

Contributing Authors:
Mary M. Conner - Utah Division of Wildlife Resources
John E. Gross - National Park Service
Paul C. Cross - United States Geological Survey
Michael R. Ebinger - Utah State University
Robert R. Gillies - Utah State University
Michael D. Samuel - United States Geological Survey
Michael W. Miller - Colorado Division of Wildlife

Given the potential risk and concern about the spread of CWD, there is need to equip ecologists, biologists, and managers with an array of tools to further understand the disease and enhance management efforts. Modeling is a powerful tool that can facilitate formulation and evaluation of potential management strategies, identify risk factors, predict areas at risk, and guide research to enhance mechanistic and biological understanding of CWD transmission and epidemiology.

This e-book is the product of a second workshop promoted by the United States Geological Survey (USGS) to promote cooperation between states for the management of CWD. The first workshop addressed issues surrounding the statistical design and collection of surveillance data for CWD (Samuel et al. 2006). The second workshop, from which this document arose, followed logically from the first workshop and focused on appropriate methods for analysis, interpretation, and use of CWD surveillance and related epidemiology data. Consequently, the emphasis of this e-book is on modeling approaches to describe and gain insight of the spatial epidemiology of CWD.

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