Massachusetts Project
Applications of structured-decision making to disease systems
March 2022 - February 2027
Personnel
Participating Agencies
- USGS, Eastern Ecological Research Center
This work involves collaborating with federal and state agencies with decision-making authority to improve the long-term management of CWD, Bsal, and WNS. Work involves helping agencies frame the decision they face within their jurisdiction, and identify management alternatives, knowledge gaps, and optimal decisions. Potential partnerships include scientists from the USGS Fort Collins Science center, USGS National Health Center, and USGS Northern Rocky Mountain Science Center (Paul Cross and colleagues), among others.
Management of most diseases are challenging because of trade-offs among important management objectives, uncertainty in the dynamics of the disease, some risks that are well understood and some that are not, jurisdictional overlap, disjunct authorities, and potentially different tradeoffs in individual decisions made by Federal, Tribal, State, and private management entities. Over the past several decades, there are several diseases of great concern in the United States, which include chronic wasting disease (CWD), the salamander killing fungus (Bsal), white-nose syndrome (WNS), SARS-CoV-2, and others. In this proposal, our objective is to frame and analyze the decisions for several disease systems, as well as develop models for supporting surveillance and management decisions other disease systems for their management on federally and state managed lands.
For example, it is well documented that CWD has spread across Wyoming and was detected for the first time in Grand Teton National Park in the fall of 2020. The detection of CWD in the Greater Yellowstone Ecosystem (GYE) has created concern among wildlife managers and the public of the potential impacts that the disease may have on affected host populations, public enjoyment, and local economies. Decision analysis facilitation and technical support could help management agencies understand the diverse needs of affected stakeholders and design actions that align with their long-term management goals for the GYE under the threat of CWD.
Research Publications | Publication Date |
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Rosenblatt, E, Cook, J. D., DiRenzo, G.V., Grant, E.H.C., Arce, F., Pepin, K. M., Rudolph, J.F., Runge, M.C., Shriner, S., Walsh, D., and Mosher, B.A. 2023. Epidemiological modeling of SARS-CoV-2 in white-tailed deer (Odocoileus virginianus) reveals conditions for introduction and widespread transmission. biorxiv. | September 2023 |
McEachran, M. C., Harvey, J. A., Mummah, R. O., Bletz, M. C., Teitelbaum, C. S., Rosenblatt, E., ... & Cook, J. D. (2024). Reframing wildlife disease management problems with decision analysis. Conservation Biology, e14284. | May 2024 |
Presentations | Presentation Date |
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McEachran, M., J. D. Cook, R. E.W. Berl, G. DiRenzo, E. H. Campbell Grant, M. C. Runge. People and prions: human dimensions of CWD decision making. The Wildlife Society, Louiseville, KY 2023. | November 2023 |
McEachran, M., J. D. Cook, R. E.W. Berl, G. DiRenzo, E. H. Campbell Grant, M. C. Runge. Integrating social science to make better decisions for cervid carcass management. | May 2022 |
Type | Citation | Publication Date |
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Software Release | Rosenblatt, E., Cook, J.D., DiRenzo, G.V., Grant, E.H.C., Runge, M.C., Mosher, B.A. Code for fomites could determine severity of SARS-CoV-2 outbreaks in low-density white-tailed deer (Odocoileus virginianus) populations. Version 1.0.0; U.S. Geological Survey software release. Reston, VA. | August 2024 |
Software Release | Rosenblatt, E, Rudolph, J.F., Arce, F., Cook, J. D., DiRenzo, G.V.,Grant, E.H.C., Runge, M.C., and Mosher, B.A.. whitetailedSIRS: A packageto project SARS-CoV-2 outbreak dynamics in white-tailed deer. Version1.0.0: U.S. Geological Survey software release, https://doi.org/10.5066/P9TZK938 | September 2023 |
Data Release | Bletz, Molly; DiRenzo, Graziella; Grant, Evan (2024). Quantitative support for the benefits of proactive management for wildlife disease control [Dataset]. Dryad. https://doi.org/10.5061/dryad.bk3j9kdhk | May 2024 |
Software Release | Bletz, M., Grant, E. H. C., & G. V. DiRenzo. 2023. Start early and stay the course: Proactive management outperforms reactive actions for wildlife disease control. Version 1.0.0; U.S. Geological Survey software release. Reston, VA. https://doi.org/10.5066/P9OLLM02 | April 2024 |