Wildlife Disease Positives Software

Mitchell, Corey I.; Hanley, Brenda; Abbott, Rachel C.; Hollingshead, Nicholas; Kelly, James; Miller, Lauren; Schuler, Krysten

Wildlife Disease Positives Software

Abstract

The Wildlife Disease Positives Software allows the user to track the occurrence, persistence, or spread of diseases in free-ranging wildlife. The R scripts of the Wildlife Disease Positives Software are executed in sequence to (1) summarize testing (surveillance) data by county in a US state or Canadian province of interest, (2) summarize positivity rate by designated administrative area (county, census divisions) in the state or province of interest, (3) summarize testing effort and positivity rate by age (fawn, yearling, adult, all deer), sex (male, female), and year (2013-2025), (4) summarize testing data and positivity rates for contiguous states and provinces when available, (5) and display the results via interactive maps in a user interface (UI). The Wildlife Disease Positives Software packet includes (redacted) disease testing data and example apps from a select assortment of United States wildlife agencies: Alabama, Arkansas, Connecticut, Florida, Georgia, Indiana, Iowa, Kentucky, Louisiana, Maryland, Michigan, Minnesota, Mississippi, New Hampshire, New York, North Carolina, Ohio, Pennsylvania, Rhode Island, Tennessee, Virginia, and Wisconsin and Canadian provincial agencies: Ontario. While the Wildlife Disease Positives Software was designed for use by state and provincial agencies to track chronic wasting disease (CWD) in white-tailed deer (Odocoileus virginianus) from 2013-2025, the software is easily adaptable to other wildlife diseases in other states or provinces, in different years, and/or in differing wildlife species.

Description

The Wildlife Disease Positives Software is 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.

Sponsorship

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).

Date Issued

2022-01-12

Keywords

Chronic Wasting Disease; CWD; Odocoileus virginianus; White-tailed deer; Wildlife Disease

Related To

https://cwhl.vet.cornell.edu/project/sop4cwd

Types

software

Accessibility Feature

readingOrder

Accessibility Hazard

none