SOP4CWD: CWD Surveillance Web Applications

The Surveillance Optimization Project for Chronic Wasting Disease (SOP4CWD) is a collaborative international effort to develop quantitative tools and software to aid state and provincial wildlife agencies responding to CWD. The project is led jointly by the Cornell Wildlife Health Lab at Cornell University and the Boone and Crockett Quantitative Wildlife Center at Michigan State University.

The SOP4CWD modeling team has produced custom web-based software applications to provide participating state and provincial wildlife agencies access to quantitative tools and information useful for CWD surveillance and response.

The software applications are available to limited agency staff by state or province through the secure links at the bottom of this page. A user account is required for access.

Summarized Test Results

The Positives Software includes summaries of CWD testing data from white-tailed deer by county, including the number of positive samples, testing efforts, and CWD prevalence by age/sex segment. The state/province-level app shows the data from the given jurisdiction plus the data from contiguous states and provinces. The regional app shows all the data from states and provinces participating in the SOP4CWD project.

SOP4CWD Positives Tutorial

Tutorial for Shiny App on SOP4CWD Positives

Disease Hazard Identification

The Hazard Software combines results from the Introduction Hazard and Susceptible-Exposed-Infected (SEI) models to identify areas more likely to face novel outbreaks of CWD that could spread rapidly. The state/province-level app shows the data from the given jurisdiction plus the data from contiguous jurisdictions. The regional app shows data from states and provinces participating in the SOP4CWD project.

SOP4CWD Hazard Tutorial

Shiny app tutorial on the SOP4CWD Hazard tool

High-Risk Locations

The Habitat Risk Software includes maps showing habitat characteristics that play a role in CWD persistence and spread. The software is available only for areas in which surveillance data provide specific sampling locations, such as latitude/longitude.

SOP4CWD Habitat Risk Tutorial

Shiny app tutorial for SOP4CWD Habitat Risk

Optimal Sampling Design

The Optimization Software leverages a combinatorial optimization algorithm to allocate financial resources in areas with novel outbreaks that are likely to persist and areas with established CWD infections. For demonstration purposes for states/provinces in which additional data is necessary for model execution, mock data have been generated and used in the software application. These software applications have been provided to illustrate the function of the model and software.

SOP4CWD Optimization Tutorial

Shiny app tutorial for SOP4CWD Optimization tool

Beta Testing of the Interactive Software

Development of the interactive software for ultimate use by agency professionals required significant interdisciplinary cooperation. We thank our beta testers who volunteered their time to examine the prototype versions of our apps and provide thoughtful feedback and suggestions for improvement. The SOP4CWD collaboration thanks:

  • Andrea Korman
  • Cara Them
  • Corey Mitchell
  • Erick Gagne
  • James Kelly
  • Jeannine Fleegle
  • Jennifer Peaslee
  • Lauren Miller
  • Nick Hollingshead
  • Rachel Abbott
  • Russ Mason
  • One additional anonymous beta tester

Future Feedback

The SOP4CWD collaboration welcomes additional feedback and suggestions for improvement! Please send your feedback to SOP4CWD@cornell.edu.

All results are preliminary (pre-peer review)

All results are preliminary (pre-peer review)

Note: This app requires your testing data to be in latitude/longitude format. If your data does not meet that criteria, your jurisdiction will not have this app.

All results are preliminary (pre-peer review)

 

The command code for the software driving the geospatial computations and user interfaces are shared publicly in:

Mitchell, C., Walter, W. D., Hollingshead, N., & Schuler, K. 2021. Processing of Geospatial Data for the Habitat Risk Software [Software]. Cornell University Library eCommons Repository. doi.org/10.7298/2tt1-yy48

Hanley, B., Mitchell, C., Walter, W. D., Kelly, J., Abbott, R., Hollingshead, N., Miller, L., & Schuler, K. 2021. Habitat Risk Software [Software]. Cornell University Library eCommons Repository. doi.org/10.7298/rcz8-nw50

No disease data are shared publicly. 

  • Alabama, USA   [MOCK DATA as of 8/21 - Linked here for illustrative purposes only]

  • Arkansas, USA   [MOCK DATA as of 8/21 - Linked here for illustrative purposes only]

  • Connecticut, USA   [MOCK DATA as of 8/21 - Linked here for illustrative purposes only]

  • Florida, USA   [MOCK DATA as of 8/21 - Linked here for illustrative purposes only]

  • Georgia, USA   [MOCK DATA as of 8/21 - Linked here for illustrative purposes only]

  • Indiana, USA   [MOCK DATA as of 8/21 - Linked here for illustrative purposes only]

  • Iowa, USA   [MOCK DATA as of 8/21 - Linked here for illustrative purposes only]

  • Kentucky, USA   [MOCK DATA as of 8/21 - Linked here for illustrative purposes only]

  • Louisiana, USA   [MOCK DATA as of 8/21 - Linked here for illustrative purposes only]

  • Maryland, USA   [MOCK DATA as of 8/21 - Linked here for illustrative purposes only]

  • Michigan, USA   [MOCK DATA as of 8/21 - Linked here for illustrative purposes only]

  • Minnesota, USA   [MOCK DATA as of 8/21 - Linked here for illustrative purposes only]

  • Mississippi, USA   [MOCK DATA as of 8/21 - Linked here for illustrative purposes only]

  • New Hampshire, USA   [MOCK DATA as of 8/21 - Linked here for illustrative purposes only]

  • New York, USA   [MOCK DATA as of 8/21 - Linked here for illustrative purposes only]

  • North Carolina, USA   [MOCK DATA as of 8/21 - Linked here for illustrative purposes only]

  • Ohio, USA   [MOCK DATA as of 8/21 - Linked here for illustrative purposes only]

  • Ontario, Canada   [MOCK DATA as of 8/21 - Linked here for illustrative purposes only]

  • Pennsylvania, USA   [MOCK DATA as of 8/21 - Linked here for illustrative purposes only]

  • Rhode Island, USA   [MOCK DATA as of 8/21 - Linked here for illustrative purposes only]

  • Tennessee, USA   [MOCK DATA as of 8/21 - Linked here for illustrative purposes only]

  • Virginia, USA   [MOCK DATA as of 8/21 - Linked here for illustrative purposes only]

  • Wisconsin, USA   [MOCK DATA as of 8/21 - Linked here for illustrative purposes only]