Utah State University From the SelectedWorks of Mary Conner 2005 Epidemiology of Chronic Wasting Disease in Free-Ranging Mule Deer : Spatial , Temporal , and Demographic Influences on Observed Prevalence Patterns

We analyzed chronic wasting disease (CWD) prevalence data from mule deer populations in northcentral Colorado, USA, to discern the likely influences of temporal, spatial, and demographic factors on patterns observed in naturally infected populations. In addition to reaffirming spatial heterogeneity among wintering mule deer subpopulations, we report marked differences in CWD prevalence by sex and age groups as well as clear local trends of increasing prevalence over a 7-yr period. Prevalence of CWD differed by age (yearling vs. adult), sex, and geographic area at two different spatial scales (game management unit or population unit winter range) and increased over time at both geographic scales. Disease status (positive or negative) was not independent of age for males (n = 285, df = 6, χ2 = 18.4, P = 0.005) or females (n = 387, df = 8, χ2 = 17.2, P = 0.028). Among males, prevalence increased and then declined across age classes, peaking in 5- to 6-yr-old individuals; among females, prevalence showed no definite age-related pattern. Demographic, spatial, and temporal factors all appear to contribute to the marked heterogeneity in CWD prevalence in endemic portions of northcentral Colorado, USA. These factors likely combine in various ways to influence epidemic dynamics on both local and broad geographic scales.

[1]  Daniel A. Grear,et al.  Demographic Patterns and Harvest Vulnerability of Chronic Wasting Disease Infected White-Tailed Deer in Wisconsin , 2006 .

[2]  Kenneth P. Burnham,et al.  HUMAN LAND USE INFLUENCES CHRONIC WASTING DISEASE PREVALENCE IN MULE DEER , 2005 .

[3]  M. Miller,et al.  MOVEMENT PATTERNS AND SPATIAL EPIDEMIOLOGY OF A PRION DISEASE IN MULE DEER POPULATION UNITS , 2004 .

[4]  Michael W Miller,et al.  Feasibility of “test-and-cull” for managing chronic wasting disease in urban mule deer , 2004 .

[5]  N. Thompson Hobbs,et al.  Environmental Sources of Prion Transmission in Mule Deer , 2004, Emerging infectious diseases.

[6]  Michael W Miller,et al.  Epidemiology of Chronic Wasting Disease in Captive White-Tailed and Mule Deer , 2004, Journal of wildlife diseases.

[7]  Michael W. Miller,et al.  Prion disease: Horizontal prion transmission in mule deer , 2003, Nature.

[8]  B. Powers,et al.  Field Validation and Assessment of an Enzyme-Linked Immunosorbent Assay for Detecting Chronic Wasting Disease in Mule Deer (Odocoileus Hemionus), White-Tailed Deer (Odocoileus Virginianus), and Rocky Mountain Elk (Cervus Elaphus Nelsoni) , 2003, Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc.

[9]  David R. Anderson,et al.  Model selection and multimodel inference : a practical information-theoretic approach , 2003 .

[10]  M. Miller,et al.  Chronic wasting disease in deer and elk in North America. , 2002, Revue scientifique et technique.

[11]  Michael W. Miller,et al.  Chronic Wasting Disease of Deer and Elk: A Review with Recommendations for Management , 2002 .

[12]  N. T. Hobbs,et al.  Evaluation of antemortem sampling to estimate chronic wasting disease prevalence in free-ranging mule deer , 2002 .

[13]  W. Moritz,et al.  Epidemiology of Mycobacterium bovis in free-ranging white-tailed deer, Michigan, USA, 1995-2000. , 2002, Preventive veterinary medicine.

[14]  Kenneth P. Burnham,et al.  ADVANCED FEATURES OF PROGRAM MARK , 2002 .

[15]  John E. Gross,et al.  Chronic wasting disease in mule deer: disease dynamics and control. , 2001 .

[16]  E. Williams,et al.  EPIZOOTIOLOGY OF CHRONIC WASTING DISEASE IN FREE-RANGING CERVIDS IN COLORADO AND WYOMING , 2000, Journal of wildlife diseases.

[17]  E. Williams,et al.  EPIDEMIOLOGY OF CHRONIC WASTING DISEASE IN CAPTIVE ROCKY MOUNTAIN ELK , 1998, Journal of wildlife diseases.

[18]  K. Burnham,et al.  Model selection: An integral part of inference , 1997 .

[19]  M. Miller,et al.  SPONGIFORM ENCEPHALOPATHY IN FREE-RANGING MULE DEER (ODOCOILEUS HEMIONUS), WHITE-TAILED DEER (ODOCOILEUS VIRGINIANUS) AND ROCKY MOUNTAIN ELK (CERVUS ELAPHUS NELSONI) IN NORTHCENTRAL COLORADO , 1997, Journal of wildlife diseases.

[20]  S. Amstrup,et al.  Population Delineation of Polar Bears Using Satellite Collar Data , 1996 .

[21]  David R. Anderson,et al.  Modeling Survival and Testing Biological Hypotheses Using Marked Animals: A Unified Approach with Case Studies , 1992 .

[22]  A. Agresti.  An introduction to categorical data analysis , 1997 .

[23]  B. Worton.  Kernel methods for estimating the utilization distribution in home-range studies , 1989 .

[24]  H. Charles Romesburg,et al.  Cluster analysis for researchers , 1984 .

[25]  E. Williams,et al.  SPONGIFORM ENCEPHALOPATHY OF ROCKY MOUNTAIN ELK1 , 1982, Journal of wildlife diseases.

[26]  D. Koutnik.  Sex-Related Differences in the Seasonality of Agonistic Behavior in Mule Deer , 1981 .

[27]  E. Williams,et al.  CHRONIC WASTING DISEASE OF CAPTIVE MULE DEER: A SPONGIFORM ENCEPHALOPATHY1 , 1980, Journal of wildlife diseases.

[28]  T. Kucera.  Social Behavior and Breeding System of the Desert Mule Deer , 1978 .

[29]  G. Seber.  The estimation of animal abundance and related parameters , 1974 .

[30]  H. Akaike.  INFORMATION THEORY AS AN EXTENSION OF THE MAXIMUM LIKELIHOOD , 1973 .

[31]  R. Estes.  THE ROLE OF THE VOMERONASAL ORGAN IN MAMMALIAN REPRODUCTION , 1972 .

[32]  J. A. Erickson,et al.  Efficient Sectioning of Incisors for Estimating Ages of Mule Deer , 1969 .

[33]  G. E. Rogers,et al.  Notes on Tooth Development and Wear for Rocky Mountain Mule Deer , 1957 .