Cooperative Fish and Wildlife Research Units Program: Pennsylvania
Education, Research and Technical Assistance for Managing Our Natural Resources

Pennsylvania Project


Surveillance Optimization Project for Chronic Wasting Disease: Streamlining a Web Application for Disease Visualization and Data-Driven Decisions

January 2021 - August 2022


Personnel

Participating Agencies

  • Cornell University Subaward from Michigan Department of Natural Resources

The overarching goal is to build a CWD-community science and management communication platform to improve coordination, planning, and knowledge sharing. Efficient CWD surveillance, response, monitoring, and management requires coordination between neighboring states. Starting with the development of the shared data system and the continuance of partnership among stage wildlife agencies and non-government organization in the collaborative process, we can pool our resources and knowledge to improve our understanding of the ecology, epidemiology, and ultimately, management of CWD. The proposed product will be hosted by the CWD Alliance for long-term viability with a steering committee directing future products and tools. Our commitment to continued coordination with other interested parties will make this product a “one-stop shop” with the long-term aim to serve the entire U.S. and Canada.
However, efficient CWD information sharing and strategic coordination between neighboring states requires an established infrastructure, or “data language”, with which to communicate efficiently. By engaging a computer scientist, we can program linkages between various components and ensure there is full functionality between each piece. This will require custom software development to connect the state agency data to the Data Warehouse, which will then feed through a computational pipeline to the CWD Dashboard and back to state wildlife agencies for planning recommendations and progress reports.

Research Publications Publication Date
Bondo, K.J., C.S. Rosenberry, D. Stainbrook, W.D. Walter. Comparing risk of chronic wasting disease occurrence using Bayesian hierarchical spatial models and different surveillance types. Ecological Modeling 493:110756. | Abstract May 2024
Type Citation Publication Date
Software Release Mitchell, C., Walter, W. D., Hollingshead, N., & Schuler, K. 2021. Processing of Geospatial Data for the Habitat Risk Software. Version 1.0. U.S. Geological Survey software release. Reston, Va. https://doi.org/10.5066/P9MR2N4H. April 2022