10.5061/DRYAD.V6M2J89
Jennelle, Christopher S.
Minnesota Department of Natural Resources
Walsh, Daniel P.
US Geological SurveyNational Wildlife Health Centre Madison Wisconsin
Samuel, Michael D.
US Geological SurveyWisconsin Cooperative Wildlife Research
UnitUniversity of Wisconsin Madison Wisconsin
Osnas, Erik E.
US Fish and Wildlife ServiceDivision of Migratory Bird Management
Anchorage Alaska
Rolley, Robert
Wisconsin Department of Natural Resources
Langenberg, Julia
Wisconsin Department of Natural Resources
Powers, Jenny G.
National Park Service
Monello, Ryan J.
National Park Service
Demarest, E. David
Shenandoah National Park Luray Virginia
Gubler, Rolf
Shenandoah National Park Luray Virginia
Heisey, Dennis M.
US Geological SurveyNational Wildlife Health Centre Madison Wisconsin
Data from: Application of a Bayesian weighted surveillance approach for
detecting chronic wasting disease in white-tailed deer
Dryad
dataset
2019
prevalence
Bayesian statistics
Weighted surveillance
risk of infection
Odocoileus virginianus
2019-04-30T00:00:00Z
2019-04-30T00:00:00Z
en
https://doi.org/10.1111/1365-2664.13178
4441267 bytes
1
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
SUMMARY 1. Surveillance is critical for the early detection of emerging
and re-emerging infectious diseases, and weighted surveillance uses
heterogeneity in risk of infection to increase the sampling efficiency. 2.
We apply a Bayesian approach to estimate weights for 16 surveillance
classes of white-tailed deer in Wisconsin, USA, relative to
hunter-harvested yearling males. We use these weights to conduct a
surveillance program for detecting chronic wasting disease (CWD) in
white-tailed deer at Shenandoah National Park (SHEN) in Virginia, USA. 3.
Generally, for surveillance, risk of infection increased with age and was
greater in males. Clinical suspect deer had the highest risk with weight
estimates of 33.33 and 9.09, for community reported and hunter reported
suspect deer, respectively, while fawns had the lowest risk with an
estimated weight of 0.001. 4. We used surveillance weights for Wisconsin
deer to determine sampling effort required to detect a CWD-positive case
in SHEN if prevalence in yearling males ≥0.025. The sampling required to
detect CWD was 37–91 adult deer, depending on the adult male:female ratio
in the surveillance stream. We collected rectal biopsies from 49 and 21
adult female and male deer, respectively, and 10 additional samples from
vehicle-killed deer. CWD was not detected and we concluded with 95%
probability that prevalence in the reference population (yearling males)
was between 0.0 to 3.6%. 5. Synthesis and applications. Our approach
allows managers to estimate relative surveillance weights for different
host classes and quantify limits of disease detection in real time when
only a sample of animals from a population can be tested, resulting in
considerable cost savings for agencies performing wildlife disease
detection surveillance. Additionally, it provides a rigorous means of
estimating prevalence limits when a disease/pathogen is not detected in a
sample set, and is generalizable to other wildlife, domestic animal, and
human disease systems which can be characterized by surveillance classes
with heterogeneous probability of infection. This methodology is also
extendable to other disciplines such as invasive species, environmental
toxicology, and generally any ecological question seeking to efficiently
use scarce financial and human resources to maximize the detection
probability of a rare event.
JAE_Dryad_dataThis file provides the input dataset for the estimation of
class-specific CWD surveillance weights from Wisconsin's CWD
management zone from 2003 to early 2010. Please read the README.txt file
for more details.
Virginia
Wisconsin