Evaluation of Antemortem Sampling to Estimate Chronic Wasting Disease Prevalence in Free-Ranging Mule Deer

Wolfe, Lisa L.; Conner, Mary M.; Baker, Thomas H.; Dreitz, Victoria J.; Burnham, Kenneth P.; Williams, Elizabeth; Hobbs, N. Thompson; Miller, Michael W.

doi:10.2307/3803124

Cited by 65 publications

(94 citation statements)

References 19 publications

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“…Demographic, spatial, and temporal factors all appear to contribute to the marked heterogeneity in CWD prevalence observed at several levels of geographic resolution in endemic portions of northcentral Colorado (Miller et al, 2000;Wolfe et al, 2002;Conner and Miller, 2004). These factors likely combine in various ways to influence epidemic dynamics on both local and broad geographic scales.…”

Section: Discussionmentioning

confidence: 99%

“…Probabilistic interactions of mule deer population units likely have driven the overall pace and pattern of larger-scale geographic spread . Local conditions, both natural and anthropogenic, may have influenced CWD transmission or persistence (Miller et al, 2000;Gross and Miller, 2001;Williams and Miller, 2002;Wolfe et al, 2002Farnsworth et al, 2005) and further confounded the spatial heterogeneity produced by the staggered start and complex geographic spread of local epidemics.…”

Section: Discussionmentioning

confidence: 99%

“…Numbers (7, 8, 9, 19, 20, and 191) designate GMUs; letters refer to population units, named by a local geographic feature: Big Hole (BH), Carter Lake (CL), Campbell Valley (CV), Estes Valley (EV), Glacier View (GV), Halligan Reservoir (HR), Lyons (L), Lone Pine (LP), Lory State Park (LSP), Masonville (M), Poudre River (PR), and Red Mountain (RM). ; CWD surveillance and diagnostic methods were performed as described elsewhere (Miller et al, 2000;Miller and Williams, 2002;Wolfe et al, 2002;Hibler et al, 2003). Sources of tissue samples included mule deer killed by hunters during September 1996-January 2003 (Miller et al, 2000;Miller, unpubl.…”

Section: Data Collectionmentioning

confidence: 99%

“…), apparently healthy mule deer killed by wildlife managers during December 2001-January 2003 (Miller, unpubl. ), and mule deer that were captured and underwent tonsil biopsy during March 2001-January 2003 (Wolfe et al, 2002Wolfe and Miller, unpubl.). Because data from symptomatic animals are highly biased (Miller et al, 2000), data from ''targeted'' surveillance (Miller et al, 2000) were excluded from these analyses.…”

Section: Data Collectionmentioning

confidence: 99%

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Epidemiology of Chronic Wasting Disease in Free-Ranging Mule Deer: Spatial, Temporal, and Demographic Influences on Observed Prevalence Patterns

Miller

Conner

2005

Journal of Wildlife Diseases

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143

170

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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 ϭ 285, df ϭ 6, 2 ϭ 18.4, P ϭ 0.005) or females (n ϭ 387, df ϭ 8, 2 ϭ 17.2, P ϭ 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.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Data Collectionmentioning

confidence: 99%

Section: Data Collectionmentioning

confidence: 99%

See 2 more Smart Citations

Epidemiology of Chronic Wasting Disease in Free-Ranging Mule Deer: Spatial, Temporal, and Demographic Influences on Observed Prevalence Patterns

Miller

Conner

2005

Journal of Wildlife Diseases

Self Cite

143

170

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“…We performed tonsil biopsies on 24 study animals (10 juveniles, 13 adults) at 15 min postinduction when the analgesic effects of the neuroleptic (xylazine HCl) were greatest (Wolfe et al 2002;Amass and Drew 2005). A sample of lymphoid follicle tissue was taken at the tonsillar sinus using Jackson endoscopic forceps with a 6.0-mm cup.…”

Section: White-tailed Deer Capture and Handlingmentioning

confidence: 99%

Effects of Capture-Related Injury on Postcapture Movement of White-Tailed Deer

Quinn

Williams

Porter

et al. 2014

Journal of Wildlife Diseases

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ABSTRACT:Capture-related injuries or deaths of wildlife study subjects pose concerns to researchers, from considerations for animal welfare to inflated project costs and biased data. Capture myopathy (CM) is an injury that can affect an animal's survival #30 days postrelease, but is often difficult to detect without close monitoring and immediate necropsy. We evaluated the influence of capture and handling on postcapture movement in an attempt to characterize movement rates of animals suffering from CM. We captured and global positioning systemcollared 95 white-tailed deer (Odocoileus virginianus) in central and northern New York during 2006-2008. Six juveniles died within 30 days postrelease, and necropsy reports indicated that two suffered CM (2%). We compared postcapture movement rates for juveniles that survived .30 days with those that died #30 days postcapture. Survivor movement rates (43.74 m/hr, SD53.53, n528) were significantly higher than rates for deer that died within 30 days (17.70 m/hr, SD51.57, n56) (P,0.01). Additionally, movement rates of juveniles that died of CM (15.1 m/hr) were 5.1 m/hr lower than those for juveniles that died of other causes #30 days postcapture (20.2 m/hr), but we were unable to evaluate this statistically because of insufficient sample size. We found no difference in vital rates (temperature, heart rate, respiration rate) during handling between survivors and juveniles that died within 30 days postcapture but observed that survivors were in better body condition at capture. These results suggest that deer likely to die within the 30-day CM window can be identified soon after capture, provided that intensive movement data are collected. Further, even if necropsy reports are unavailable, these animals should be censored from analysis because their behavior is not representative of movements of surviving animals.

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Interaction among deer in a chronic wasting disease endemic zone

et al. 2011

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Although it is known that chronic wasting disease (CWD) can be transmitted by both direct animal-to-animal contact and contact with contaminated environments, the relative role of each mechanism in the spread of CWD in free-ranging populations has yet to be defined. We investigated patterns of interaction between mule deer (Odocoileus hemionus) in order to understand how factors such as season and landscape may influence patterns of disease spread in these populations. Using location data from male and female Global Positioning System (GPS)-collared mule deer in 5 study areas located in and around a CWDendemic zone in southern Saskatchewan, Canada, we quantified close proximity events, or events involving both spatial and temporal overlap of individuals. We defined close proximity events as occurrences in which 2 deer were located <25 m apart at the same point in time. We looked at seasonal variation in the probability of close proximity events, as well as landscape factors associated with these events when compared to areas of shared space use, or spatial overlap alone. Overall probability of an individual GPS-collared deer being located in close proximity to another GPS-collared deer was 0.092 (n ¼ 107). The early gestation (16 Dec-31 Mar) and late gestation (1 Apr-15 May) seasons had the highest probability of close proximity events occurring, and same-sex pairs were more likely to be found in close proximity than between-sex pairs during all seasons aside from the rut (1 Nov-15 Dec). High probability of close proximity events during the gestation seasons agrees with the tendency of mule deer to aggregate into large groups during late winter and suggests that this may be an important time period for CWD transmission to occur. Close proximity events occurred more in cropland and wetland than expected based on availability, whereas close proximity events occurred less than expected in grassland. The opposite was true for spatial overlap between individuals, which occurred more than expected in areas of low elevation and rugged terrain and in grassland or shrub-wood habitats. These results suggest that cropland may be a higher risk habitat for direct and indirect CWD transmission between individuals and that, although coulees and other areas of rugged topography are less likely to be associated with close proximity events, those areas may be more likely to contain environmental contamination in CWD-affected areas due to common use by multiple deer. ß 2011 The Wildlife Society.

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Evaluation of Antemortem Sampling to Estimate Chronic Wasting Disease Prevalence in Free-Ranging Mule Deer

Cited by 65 publications

References 19 publications

Epidemiology of Chronic Wasting Disease in Free-Ranging Mule Deer: Spatial, Temporal, and Demographic Influences on Observed Prevalence Patterns

Epidemiology of Chronic Wasting Disease in Free-Ranging Mule Deer: Spatial, Temporal, and Demographic Influences on Observed Prevalence Patterns

Effects of Capture-Related Injury on Postcapture Movement of White-Tailed Deer

Interaction among deer in a chronic wasting disease endemic zone

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