Literature DB >> 22137503

Targeting the detection of chronic wasting disease using the hunter harvest during early phases of an outbreak in Saskatchewan, Canada.

Erin E Rees1, Evelyn H Merrill, Trent K Bollinger, Yeen Ten Hwang, Margo J Pybus, Dave W Coltman.   

Abstract

Chronic wasting disease (CWD) is a fatal disease of North American cervids that was first detected in a wild, hunter-shot deer in Saskatchewan along the border with Alberta in Canada in 2000. Spatially explicit models for assessing factors affecting disease detection are needed to guide surveillance and control programs. Spatio-temporal patterns in CWD prevalence can be complicated by variation in individual infection probability and sampling biases. We assessed hunter harvest data of mule deer (Odocoileus hemionus) and white-tailed deer (Odocoileus virginianus) during the early phases of an outbreak in Saskatchewan (i.e., 2002-2007) for targeting the detection of CWD by defining (1) where to look, and (2) how much effort to use. First, we accounted for known demographic heterogeneities in infection to model the probability, P(E), that a harvested deer was infected with CWD given characteristics of the harvest location. Second, in areas where infected deer were harvested we modelled the probability, P(D), of the hunter harvest re-detecting CWD within sample units of varying size (9-54 km(2)) given the demographics of harvested deer and time since first detection in the study area. Heterogeneities in host infection were consistent with those reported elsewhere: mule deer 3.7 times >white-tailed deer, males 1.8 times>females, and quadratically related to age in both sexes. P(E) increased with number of years since the first detection in our study area (2002) and proximity to known disease sources, and also varied with distance to the South Saskatchewan River and small creek drainages, terrain ruggedness, and extent of agriculture lands within a 3 km radius of the harvest. The majority (75%) of new CWD-positive deer from our sample were found within 20 km of infected deer harvested in the previous year, while approximately 10% were greater than 40 km. P(D) modelled at 18 km(2) was best supported, but for all scales, P(D) depended on the number of harvested deer and time since the first infected deer was harvested. Within an 18 km(2) sampling unit, there was an 80% probability of detecting a CWD-positive deer with 16 harvested deer five years after the initial infected harvest. Identifying where and how much to sample to detect CWD can improve targeted surveillance programs early in the outbreak of the disease when based on hunter harvest.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 22137503     DOI: 10.1016/j.prevetmed.2011.10.016

Source DB:  PubMed          Journal:  Prev Vet Med        ISSN: 0167-5877            Impact factor:   2.670


  7 in total

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Authors:  Anthony Ness; Aradhana Jacob; Kelsey Saboraki; Alicia Otero; Danielle Gushue; Diana Martinez Moreno; Melanie de Peña; Xinli Tang; Judd Aiken; Susan Lingle; Debbie McKenzie
Journal:  Prion       Date:  2022-12       Impact factor: 2.547

2.  An agent-based framework for improving wildlife disease surveillance: A case study of chronic wasting disease in Missouri white-tailed deer.

Authors:  Aniruddha V Belsare; Matthew E Gompper; Barbara Keller; Jason Sumners; Lonnie Hansen; Joshua J Millspaugh
Journal:  Ecol Modell       Date:  2020-01-14       Impact factor: 2.974

Review 3.  The ecology of chronic wasting disease in wildlife.

Authors:  Luis E Escobar; Sandra Pritzkow; Steven N Winter; Daniel A Grear; Megan S Kirchgessner; Ernesto Dominguez-Villegas; Gustavo Machado; A Townsend Peterson; Claudio Soto
Journal:  Biol Rev Camb Philos Soc       Date:  2019-11-21

4.  Chronic Wasting Disease: Transmission Mechanisms and the Possibility of Harvest Management.

Authors:  Alex Potapov; Evelyn Merrill; Margo Pybus; Mark A Lewis
Journal:  PLoS One       Date:  2016-03-10       Impact factor: 3.240

5.  Getting in Front of Chronic Wasting Disease: Model-Informed Proactive Approach for Managing an Emerging Wildlife Disease.

Authors:  Aniruddha V Belsare; Joshua J Millspaugh; J R Mason; Jason Sumners; Hildegunn Viljugrein; Atle Mysterud
Journal:  Front Vet Sci       Date:  2021-01-06

6.  Partnering with Taxidermists for Improved Chronic Wasting Disease Surveillance.

Authors:  Ashley Ableman; Kevin Hynes; Krysten Schuler; Angela Martin
Journal:  Animals (Basel)       Date:  2019-12-11       Impact factor: 2.752

7.  Evaluation of Real-Time Quaking-Induced Conversion, ELISA, and Immunohistochemistry for Chronic Wasting Disease Diagnosis.

Authors:  Carine L Holz; Joseph R Darish; Kelly Straka; Nicole Grosjean; Steven Bolin; Matti Kiupel; Srinand Sreevatsan
Journal:  Front Vet Sci       Date:  2022-01-18
  7 in total

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