SLEI Model Software
Hanley, Brenda J.; Them, Cara E.; Mitchell, Corey I.; Carstensen, Michelle; Walsh, Daniel P.; Christensen, Sonja A.; Storm, Daniel J.; Booth, James G.; Guinness, Joseph; Abbott, Rachel C.; Ahmed, Md Sohel; Schuler, Krysten L.
The SLEI Model Software displays differential outbreak potential of chronic wasting disease (CWD) in white-tailed deer under the influence of a habitat contaminated with infectious prions. Based on a Susceptible-Latent-Exposed-Infective (SLEI) compartment model by Hanley et al. (2022), the software depicts outbreak behavior (R_0), stable equilibria of the disease compartments, and the elasticities of R_0 with respect to input parameters (Hethcote 2000). Information regarding the differential likelihood outbreak by county (or parish, administrative area, or other) can guide state and provincial wildlife managers in the allocation of disease surveillance resources. The SLEI Model Software includes (redacted) data containing the cumulative cases of CWD by county in Tennessee, USA, but the software can be adapted using this example for use in other US states or Canadian provinces.
This software is being shared under a MIT license. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software") to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Financial support comes from (1) Michigan Disease Initiative – Optimizing CWD Surveillance: Regional Synthesis of Demographic, Spatial, and Transmission-Risk Factors (2019); (2) Tennessee Wildlife Resources Agency - Modeling Risk of Infection for Individually Harvested Deer & Estimating Prevalence When Sampling is Limited (2020); (3) Michigan Disease Initiative - SOP4CWD Dashboard: A Web Application for Disease Visualization and Data-Driven Decisions (2020); (4) Multistate Conservation Grant Program - Surveillance Optimization Project for Chronic Wasting Disease: Streamlining a Web Application for Disease Visualization and Data-Driven Decisions (2021).
basic reproductive ratio; disease surveillance; failure to establish; new infection; persistence; prion reservoir; SLEI model; sensitivity analysis; white-tailed deer
Hanley, Brenda J., Michelle Carstensen, Daniel P. Walsh, Sonja A. Christensen, Daniel J. Storm, James G. Booth, Joseph Guinness, Cara E. Them, Md Sohel Ahmed, and Krysten L. Schuler. Informing Surveillance through the Characterization of Outbreak Potential of Chronic Wasting Disease in White-Tailed Deer. Ecological Modelling 471 (September 1, 2022): 110054. https://doi.org/10.1016/j.ecolmodel.2022.110054.
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