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Full-Text Articles in Physical Sciences and Mathematics
The Role Of Geographic Information Systems Inwildlife Epidemiology: Models Of Chronic Wasting Disease In Colorado Mule Deer, Matthew L. Farnsworth, Jennifer A. Hoeting, N. Thompson Hobbs, Mary M. Conner, Kenneth P. Burnham, Lisa L. Wolfe, Elizabeth S. Williams, David M. Theobald, Michael W. Miller
The Role Of Geographic Information Systems Inwildlife Epidemiology: Models Of Chronic Wasting Disease In Colorado Mule Deer, Matthew L. Farnsworth, Jennifer A. Hoeting, N. Thompson Hobbs, Mary M. Conner, Kenneth P. Burnham, Lisa L. Wolfe, Elizabeth S. Williams, David M. Theobald, Michael W. Miller
Wildland Resources Faculty Publications
The authors present findings from two landscape epidemiology studies of chronic wasting disease (CWD) in northern Colorado mule deer (Odocoileus hemionus). First, the effects of human land use on disease prevalence were explored by formulating a set of models estimating CWD prevalence in relation to differences in human land use, sex and geographic location. Prevalence was higher in developed areas and among male deer suggesting that anthropogenic influences (changes in land use), differences in exposure risk between sexes and landscape-scaled heterogeneity are associated with CWD prevalence. The second study focused on identifying scales of mule deer movement and mixing that …
A Meta-Baci Approach Forevaluating Management Intervention On Chronic Wasting Disease In Mule Deer, Mary M. Conner, Michael W. Miller, Michael Ryan Ebinger, Kenneth P. Burnham
A Meta-Baci Approach Forevaluating Management Intervention On Chronic Wasting Disease In Mule Deer, Mary M. Conner, Michael W. Miller, Michael Ryan Ebinger, Kenneth P. Burnham
Wildland Resources Faculty Publications
Advances in acquiring and analyzing the spatial attributes of data have greatlyenhanced the potential utility of wildlife disease surveillance data for addressing problems ofecological or economic importance. We present an approach for using wildlife diseasesurveillance data to identify areas for (or of ) intervention, to spatially delineate pairedtreatment and control areas, and then to analyze these nonrandomly selected sites in a meta-analysis framework via before–after–control–impact (BACI) estimates of effect size. We applythese methods to evaluate the effectiveness of attempts to reduce chronic wasting disease(CWD) prevalence through intensive localized culling of mule deer (Odocoileus hemionus)innorth-central Colorado, USA. Areas where surveillance data …