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

Montana Cooperative Wildlife Research Unit Staff Member


Dr. Daniel P Walsh

Dan Walsh

Unit Leader
Phone: (406) 243 - 4390
Email: dwalsh@usgs.gov
Faculty Email: daniel.walsh@umontana.edu

Biography

Daniel Walsh - Unit Leader, Montana Cooperative Wildlife Research Unit

Dr. Walsh received graduate degrees in Fisheries and Wildlife and Statistics from Michigan State University and Colorado State University. He worked as a Disease Researcher with Colorado Division of Wildlife and as a Quantitative Ecologist at the USGS National Wildlife Health Center before joining the Montana Unit in 2022. He conducts applied research that develops and applies novel quantitative approaches in conjunction with field research to improve the health of wildlife populations. His research interests are broad, and he has worked on a wide array of taxonomic groups and wildlife health issues including chronic wasting disease, bighorn sheep respiratory disease, avian influenza, white nose syndrome, New Castle disease, among others. One focus of his current research is leveraging systems modeling to inform decision-making and applying scientific principles to the implementation of management efforts to improve the likelihood of desired outcomes. Additionally, Dr. Walsh has helped develop national surveillance strategies for avian influenza and white nose syndrome and has conducted extensive work with the World Animal Health Organisation and others to build wildlife health capacity globally. Dr. Walsh will teach courses in statistical methods for population dynamics and wildlife health modeling.

Areas of Expertise

AI/Machine Learning, Disease/Parasites, Epidemiology, GIS/Spatial Analysis, Population Dynamics, Statistics and Modelling, Wildlife Management

Taxon Groups Studied

Bats, Ungulates, Waterfowl

Research Publications Publication Date
White, C. LeAnn, Lankton, Julia S., Walsh, Daniel P., Sleeman, Jonathan M., Stephen, Craig. 2020. An ecological and conservation perspective. One health: The theory and practice of integrated health approaches (2nd edition) : 25-38. January 2020
White, C. LeAnn, Ip, Hon S., Meteyer, Carol U., Walsh, Daniel P., Hall, Jeffrey S., Carstensen, Michelle, Wolf, Paul C. 2014. Spatial and temporal patterns of avian paramyxovirus-1 outbreaks in Double-Crested Cormorants (Phalacrocorax auritus) in the USA. Journal of Wildlife Diseases 51: 101-112. https://doi.org/10.7589/2014-05-132 January 2014
Walsh, Daniel P., Norton, Andrew S., Storm, Daniel J., Van Deelen, Timothy R., Heisy, Dennis M. 2018. Using expert knowledge to incorporate uncertainty in cause-of-death assignments for modeling of cause-specific mortality. Ecology and Evolution 8: 509-520. https://doi.org/10.1002/ece3.3701 January 2018
Walsh, Daniel P., Ma, Ting Fung, Ip, Hon S., Zhu, Jun. 2019. Artificial intelligence and avian influenza: Using machine learning to enhance active surveillance for avian influenza viruses. Transboundary and Emerging Diseases 66: 2537-2545. https://doi.org/10.1111/tbed.13318 January 2019
Walsh, Daniel P., Dreitz, VJ, Heisey, Dennis M. 2015. Integrated survival analysis using an event-time approach in a Bayesian framework. Ecology and Evolution 5(3): 769-780. https://doi.org/10.1002/ece3.1399 January 2015
Walsh, Daniel P., Cassirer, E. Frances, Bonds, Michael D., Brown, Daniel R., Edwards, William H., Weiser, Glen C., Drew, Mark L., Briggs, Robert E., Fox, Karen A., Miller, Michael W., Shanthalingam, Sudarvili, Srikumaran, Subramaniam, Besser, Thomas E. 2016. Concordance in diagnostic testing for respiratory pathogens of bighorn sheep. Wildlife Society Bulletin 40:634–642. https://doi.org/10.1002/wsb.721 | Abstract December 2016
Walsh, Daniel P. 2012. Enhanced surveillance strategies for detecting and monitoring chronic wasting disease in free-ranging cervids. Open-File Report 2012-1036, 42p. https://doi.org/10.3133/ofr20121036 January 2012
Walker, Nelson, Hefley, Trevor J., Ballmann, Anne, Russell, Robin E., Walsh, Daniel P. 2021. Recovering individual-level spatial inference from aggregated binary data. Spatial Statistics, 44: https://doi.org/10.1016/j.spasta.2021.100514 | Abstract January 2021
Walker, NB, Hefley, TJ, Walsh, DP. 2020. Bias correction of bounded location error in binary data. Biometrics 76: 530– 539. https://doi.org/10.1111/biom.13152 | Abstract September 2019
Tabak, Michael A., Norouzzadeh, Mohammad S., Wolfson, David W., Newton, Erica J., Boughton, Raoul K., Ivan, Jacob S., Odell, Eric, Newkirk, Eric S., Conrey, Reesa Y., Stenglein, Jennifer L., Iannarilli, Fabiola, Erb, John, Brook, Ryan K., Davis, Amy J., Lewis, Jesse S., Walsh, Daniel P., Beasley, James C, Vercauteren, Kurt C., Clune, Jeff, Miller, Ryan S. 2020. Improving the accessibility and transferability of machine learning algorithms for identification of animals in camera trap images: MLWIC2. Ecology and Evolution 10: 10374-10383. https://doi.org/10.1002/ece3.6692 January 2020
Smith, Joshua B., Walsh, Daniel P., Goldstein, Elise J., Parsons, Zachary D., Karsch, Rebekah C., Stiver, Julie R., Cain, James, Raedeke, Kenneth J., Jenks, Jonathan A. 2014. Techniques for capturing bighorn sheep lambs. Wildlife Society Bulletin 31: 165-174. https://doi.org/10.1002/wsb.360 January 2014
Russell, Robin E., Walsh, Daniel P., Samuel, Michael D., Grunnill, Martin S., Rocke, Tonie E. 2021. Space matters: incorporating spatial structure into models of plague transmission. Ecological Modelling 443:. https://doi.org/10.1016/j.ecolmodel.2021.109450 January 2021
Russell, Robin E., Katz, Rachel A., Richgels, Katherine L. D., Walsh, Daniel P., Grant, Evan H. Campbell. 2017. A framework for modeling emerging diseases to inform management. Emerging Infectious Diseases 23: 1-6. https://doi.org/10.3201/eid2301.161452 January 2017
Runge, Michael C., Campbell Grant, Evan H., Coleman, Jeremy T. H., Reichard, Jonathan D., Gibbs, Samantha E. J., Cryan, Paul M., Olival, Kevin J., Walsh, Daniel P., Blehert, David S., Hopkins, M. Camille, Sleeman, Jonathan M. 2020. Assessing the Risks Posed by SARS-CoV-2 in and via North American Bats-Decision Framing and Rapid Risk Assessment. Open-File Report 2020-1060, 43 p. https://doi.org/10.3133/ofr20201060 January 2020
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
Rhynd, Kamara J. R., Walsh, Daniel P., Arthur-Banfield, Linnell C. M. 2021. Efficacy of fenbendazole and ivermectin against Trichuris spp. in African green monkeys (Chlorocebus sabaeus) in Barbados West Indies. Journal of the American Association for Laboratory Animal Science 60: 475-483. https://doi.org/10.30802/AALAS-JAALAS-20-000103 January 2021
Prentice, M.B., M.L.J. Gilbertson, D.J. Storm, W.C. Turner, D.P. Walsh, M.E. Pinkerton, P.L Kamath. 2024. Metagenomic sequencing sheds light on microbes putatively associated with pneumonia-related fatalities of white-tailed deer (Odocoileus virginianus), Microbial Genomics, 10:001214. https://doi.org/10.1099/mgen.0.001214 March 2024
Nowak, J. J., Hurley, M. A., Lukacs, P. M., Walsh, D., & White, C. L. (2023). Population Monitoring. In Ecology and Management of Black-tailed and Mule Deer of North America (pp. 291-306). CRC Press. https://doi.org/10.1201/9781003354628-19 | Abstract April 2023
Manlove, Kezia, Walker, Josephine G, Craft, Meggan E., Huyvaert, Kathryn P., Joseph, Maxwell B., Miller, Ryan S., Nol, Pauline, Patyk, Kelly A., O'Brian, Daniel, Walsh, Daniel P., Cross, Paul C. 2016. "One Health" or three? Publication silos among the One Health disciplines. PLoS Biology. https://doi.org/10.1371/journal.pbio.1002448 | Abstract April 2016
Lukacs, Paul M., Mitchell, Michael S., Hebblewhite, Mark, Johnson, Bruce K., Johnson, Heather E., Kauffman, Matthew J., Proffitt, Kelly M., Zager, Peter, Brodie, Jedediah, Hersey, Kent, Holland, A. Andrew, Hurley, Mark, McCorquodale, Scott, Middleton, Arthur, Nordhagen, Matthew, Nowak, J. Joshua, Walsh, Daniel P., White, P.J. 2018. Factors influencing elk recruitment across ecotypes in the Western United States. Journal of Wildlife Management 82: 698-710. https://doi.org/10.1002/jwmg.21438 January 2018
Ketz, A. C., D. J. Storm, R. E. Barker, A. D. Apa, C. Oliva-Aviles, and D. P. Walsh. 2023. Assimilating ecological theory with empiricism: Using constrained generalized additive models to enhance survival analyses. Methods in Ecology and Evolution, 14, 952– 967. https://doi.org/10.1111/2041-210X.14057. | Abstract January 2023
Jennelle, Christopher S., Walsh, Daniel P., Samuel, Michael D., Osnas, Erik E., Rolley, Robert E., Langenberg, Julia A., Powers, Jenny G., Monello, Ryan J., Demarest, E. David, Gubler, Rolf, Heisey, Dennis M. 2018. Applying a Bayesian weighted surveillance approach to detect chronic wasting disease in white‐tailed deer. Journal of Applied Ecology 55: 2944-2953. https://doi.org/10.1111/1365-2664.13178 January 2018
Inzalaco, H.N., E.E. Brandell, S. Wilson, M. Hunsaker, D.R. Stahler, K. Woelfel, D.P. Walsh, T. Nordeen, D.J. Storm, S.S. Lichtenberg, W.C. Turner. 2024. Detection of prions from spiked and free-ranging carnivore feces, Scientific Reports, 14: 3804. https://doi.org/10.1038/s41598-023-44167-7 | Abstract | Publisher Website February 2024
Inzalaco, H., F. Bravo-Risi, R. Morales, R., D. P. Walsh, D. J. Storm, J. Pedersen, W. C. Turner, and S. Lichtenberg. 2023. Ticks harbor and excrete chronic wasting disease prions. Scientific Reports 13, 7838 https://doi.org/10.1038/s41598-023-34308-3. May 2023
Hwang, Jusun, Lee, Kyunglee, Walsh, Daniel P., Kim, SangWha, Sleeman, Jonathan M., Lee, Hang. 2018. Semi-quantitative assessment of disease risks at the human, livestock, wildlife interface for the Republic of Korea using a nationwide survey of experts: A model for other countries. Transboundary and Emerging Diseases 65:155-164. https://doi.org/10.1111/tbed.12705 January 2018
Huyvaert, Kathryn P., Russell, Robin E., Patyk, Kelly A., Craft, Meggan E., Cross, Paul C., Garner, M. Graeme, Martin, Michael K., Nol, Pauline, Walsh, Daniel P. 2018. Challenges and opportunities developing mathematical models of shared pathogens of domestic and wild animals. Veterinary Sciences 5(4): 92. https://doi.org/10.3390/vetsci5040092 | Abstract October 2018
Hopkins, M. Camille, Carlson, Christina M., Cross, Paul C., Johnson, Christopher J., Richards, Bryan J., Russell, Robin E., Samuel, Michael D., Sargeant, Glen A., Walsh, Daniel P., Walter, W. David. 2019. Chronic Wasting Disease-Research by the U.S. Geological Survey and Partners. Open-File Report 2019-1109, 29 p. https://doi.org/10.3133/ofr20191109 January 2019
Heisey, Dennis M., Jennelle, Christopher S., Russell, Robin E., Walsh, Daniel P. 2014. Using auxiliary information to improve wildlife disease surveillance when infected animals are not detected: a Bayesian approach. PLoS ONE 9(3): 9 p. https://doi.org/10.1371/journal.pone.0089843 January 2014
Hefley, T.J., M.B. Hooten, R.E. Russell, D.P. Walsh, and J. Powell. (2017). When mechanism matters: Forecasting the spread of disease using ecological diffusion. Ecology Letters, 20: 640-650. September 2017
Hefley, T.J., M.B. Hooten, J.M. Drake, R.E. Russell, and D.P. Walsh. (2016). When can the cause of a population decline be determined? Ecology Letters, 19: 1353-1362. December 2016
Hefley, T.J., M.B. Hooten, E.M. Hanks, R.E. Russell, and D.P. Walsh. (2017). Dynamic spatio-temporal models for spatial data. Spatial Statistics, 20: 206-220. March 2017
Hefley, T.J., M.B. Hooten, E.M. Hanks, R.E. Russell, and D.P. Walsh. (2017). The Bayesian spatial group lasso. Journal of Agricultural, Biological, and Environmental Statistics, 22: 42-59. February 2017
Harris, M. Camille, Pearce, John M., Prosser, Diann J., White, C. LeAnn, Miles, A. Keith, Sleeman, Jonathan M., Brand, Christopher J., Cronin, James P., De La Cruz, Susan, Densmore, Christine L., Doyle, Thomas W., Dusek, Robert J., Fleskes, Joseph P., Flint, Paul L., Guala, Gerald F., Hall, Jeffrey S., Hubbard, Laura E., Hunt, Randall J., Ip, Hon S., Katz, Rachel A., Laurent, Kevin W., Miller, Mark P., Munn, Mark D., Ramey, Andrew M., Richards, Kevin D., Russell, Robin E., Stokdyk, Joel P., Takekawa, John Y., Walsh, Daniel P. 2016. U.S. Geological Survey science strategy for highly pathogenic avian influenza in wildlife and the environment (2016-2020). Open-File Report 2016-1121, 38p. https://doi.org/10.3133/ofr20161121 January 2016
Hanley, B. J., Carstensen, M., Walsh, D. P., Christensen, S. A., Storm, D. J., Booth, J. G., ... & Schuler, K. L. (2022). Informing Surveillance through the Characterization of Outbreak Potential of Chronic Wasting Disease in White-Tailed Deer. Ecological Modelling, 471, 110054. https://doi.org/10.1016/j.ecolmodel.2022.110054 | Abstract September 2022
Grear, Daniel A., Dusek, Robert J., Walsh, Daniel P., Hall, Jeffrey S. 2017. No evidence of infection or exposure to Highly Pathogenic Avian Influenzas in peridomestic wildlife on an affected poultry facility. Journal of Wildlife Diseases 53: 37-45. https://doi.org/10.7589/2016-02-029 January 2017
Gilbertson, M. L., Ketz, A. C., Hunsaker, M., Jarosinski, D., Ellarson, W., Walsh, D. P., ... & Turner, W. C. (2022). Agricultural land use shapes dispersal in white-tailed deer (Odocoileus virginianus). Movement Ecology, 10(1), 43. https://doi.org/10.1186/s40462-022-00342-5 | Abstract October 2022
Gilbertson, M. L., Brandell, E. E., Pinkerton, M. E., Meaux, N. M., Hunsaker, M., Jarosinski, D., ... & Turner, W. C. (2022). CAUSE OF DEATH, PATHOLOGY, AND CHRONIC WASTING DISEASE STATUS OF WHITE-TAILED DEER (ODOCOILEUS VIRGINIANUS) MORTALITIES IN WISCONSIN, USA. The Journal of Wildlife Diseases, 58(4), 803-815. https://doi.org/10.7589/JWD-D-21-00202 | Abstract October 2022
Garwood, Tyler, Lehman, Chadwick P., Walsh, Daniel P., Cassirer, E. Frances, Besser, Thomas E., Jenks, Jonathan A. 2020. Removal of chronic Mycoplasma ovipneumoniae carrier ewes eliminates pneumonia in a bighorn sheep population. Ecology and Evolution 10: 3491-3502. https://doi.org/10.1002/ece3.6146 January 2020
Franklin, Alan B., Bevins, Sarah N., Ellis, Jeremy W., Miller, Ryan S., Shriner, Susan A., Root, J. Jeffrey, Walsh, Daniel P., DeLiberto, Thomas J. 2019. Predicting the initial spread of novel Asian origin influenza A viruses in the continental USA by wild waterfowl. Transboundary and Emerging Diseases 66: 705-714. https://doi.org/10.1111/tbed.13070 January 2019
Delgado Rivas, M., N. Ferrari, A. Fanelli, S. Muset, C. L. Thompson, C. L. White, D. P. Walsh, C. Wannous, and P. Tizzani. 2023. Wildlife health surveillance: gaps, needs and opportunities. World Organisation for Animal Health The Scientific and Technical Review. 41 (2). | Abstract March 2023
Carlson, Christina M., Hopkins, M. Camille, Nguyen, Natalie T., Richards, Bryan J., Walsh, Daniel P., Walter, W. David. 2018. Chronic Wasting Disease-Status, science, and management support by the U.S. Geological Survey. Open-File Report 2017-1138, 8p. https://doi.org/10.3133/ofr20171138 January 2018
Campbell, Lewis J., Daniel P. Walsh, David S. Blehert, Jeffrey M. Lorch. 2020. Long-term survival of pseudogymnoascus destructans at elevated temperatures. Journal of Wildlife Diseases. 56(2):278-287. https://doi.org/10.7589/2019-04-106 | Abstract March 2020
Burgener, K. R., Lichtenberg, S. S., Lomax, A., Storm, D. J., Walsh, D. P., & Pedersen, J. A. (2022). Diagnostic testing of chronic wasting disease in white-tailed deer (Odocoileus virginianus) by RT-QuIC using multiple tissues. Plos one, 17(11), e0274531. https://doi.org/10.1371/journal.pone.0274531 | Abstract November 2022
Brandell, E. E., Storm, D. J., Van Deelen, T. R., Walsh, D. P., & Turner, W. C. (2022). A call to action: Standardizing white-tailed deer harvest data in the Midwestern United States and implications for quantitative analysis and disease management. Frontiers in Ecology and Evolution, 10, 943411. https://doi.org/10.3389/fevo.2022.943411 | Abstract November 2022
Project Completion Date
Assessing chronic wasting disease environmental prion reservoirs June 2025
Effects of Conifer Removal on Songbirds in Sage-Grouse Habitat September 2024
Patterns of bat activity along seasonal, environmental and disease gradients in western Washington: Monitoring populations along the front line of WNS September 2024
Role of study length and life-history traits on the reliability of management recommendations September 2023
Structuring Governance to Achieve Landscape-scale Conservation Outcomes January 2024
UM Pronghorn Movement and Population Study June 2024
Sage-grouse Synergies: Community Responses to Wetland Restoration in the Northern Great Plans September 2024
Fish Creek Recreation Planning June 2023
Preventing Predation July 2024
Elk Recreation Study June 2024
Predator use of Prey June 2024
From Beavers to Bats: Assessing the Importance of Beaver and Beaver-based Restoration to Riparian Communities in Prairie Systems December 2027
The Next Frontier: D&E Tools to estimate density via cameras to examine population impacts of CWD/Effects of Management June 2023
A Framework for guiding management decisions for amphibians July 2023
US FWS-UM Collaboration to Support Native American Graduate Students in Wildlife Biology July 2024
Wolverine Survey Analysis June 2024
Moose Population March 2024
Sage Grouse-Songbird Bug Grazing June 2024
Modeling host behavior and environmental transmission of chronic wasting disease July 2027
Investigating the Role of Host Behavior and Environmental Transmission in CWD Dynamics September 2025
Statistical model development to inform disease management in Montana June 2027
Highland's Sheep Project December 2027
Building a modeling framework for understanding and predicting dynamics of diseases in wildlife: WNS surveillance as a case study July 2024
Application of systems modeling to identify novel approaches for wildlife health management September 2025
Applications of structured-decision making to disease systems February 2027
Improving management and surveillance decisions related to white nose syndrome by accounting for imperfect detection and misclassification error October 2023
Spatial Risk Factors August 2018
Draper, John
Post Doc
draper4@wisc.edu

Padilla, Colton
PhD
colton.padilla@umontana.edu

Strickfaden, Kaitlyn
PhD
ks237242@umconnect.umt.edu

Presentations Presentation Date
Walsh, D.P., E. Robertson, and J. Marten. 2023. Using rapid prototyping to synthesize knowledge regarding the cause of an emerging disease. The Wildlife Society Annual Meeting, Louisville, KY, USA. November 5-9, 2023. (oral) November 2023
Walsh, D.P. 2024. Recovering Bighorn Sheep Populations: Test and Remove as a Management Strategy. Montana State Sheep Health Research Group. Bozeman, MT (virtual) 4/3/2024. April 2024
Walsh, D. P., and C. L. White. 2023. Introduction to systems thinking: strengthening the environmental and preventive aspects of One Health. Workshop for Nature for Health Project in Mongolia. Ulaanbaatar, Mongolia. 12/6/2023 December 2023
Walsh, D. P. 2024. Prions and plants: potential pathway for CWD transmission. USDA Stakeholders Meeting. 1/11/2024. (virtual) January 2024
Walsh, D. P. 2023. CWD Management Interventions. National Academy Sciences. 10/9/2023, virtual. October 2023
V. Boccadori, V., K. Proffitt, and D. P. Walsh. 2023. Highland Bighorn Sheep Project. Wild Sheep Working Group Test and Remove Workshop. (virtual) Reno, Nevada. 1/11/2023. January 2023
Tallon, A. K., J. Blanchong, D. Navarro, P. Euclide, C. Ott-Conn, D. P. Walsh, R. DeYoung, and E K. Latch. 2022. Development and application of a high-throughput genomic resource to inform white-tailed deer population and disease management. Part 2 of 2. The Wildlife Society Annual Conference. Spokane WA. 11/9/2022 November 2022
S. S. Lichtenberg, S. Thomas, D. Storm, and D. P. Walsh. Real-time quaking-induced conversion for prion detection in contaminated environmental samples. 2023. 4th International Symposium. Denver, Colorado, USA. 5/31/23-6/2/23. May 2023
Reyes, J. F. M., T. F. Ma, I. P. McGahan, D. J. Storm, D. P. Walsh, and J. Zhu. 2024. Spatiotemporal causal inference with mechanistic ecological models: evaluating targeted culling on chronic wasting disease dynamics in cervids. SIAM Conference on Mathematics of Data Science (MDS24). Atlanta, Georgia, USA. 10/21/24-10/25/24 October 2024
Reyes, J. F. M, McGahan, I. P., Ma, T. F., Ballmann, A. E., Walsh, D. P., and Zhu J. 2024. Spatio-temporal dynamic modeling of wildlife disease data. Institute of Mathematical Statistics Asia Pacific Rim Meeting. Melbourne, Australia, January 4-7, 2024. January 2024
Piel III, R. B., S. E. Veneziano, E. Nicholson, D. P. Walsh, T. A. Nichols, and D. A. Schneider. 2023. Disparate tissue effects of pre-analytic differential centrifugation and NaPTA precipitation on enhanced detection of CWD prions by RT-QuIC using RAMALT and MRPLN samples from naturally infected WTD. 4th International CWD Symposium, Denver, Colorado, USA. May 31-June 2, 2023. May 2023
McGahan, I., G. Oh, D. P. Walsh, and J. Zhu. 2024. Forecasting the Spread of White-Nose Syndrome with Ecological Diffusion. Joint Annual Meeting of the Korean Society for Mathematical Biology and the Society for Mathematical Biology. Seoul, Korea. 6/30/2024 June 2024
McGahan, I., F. Mandujano, D. Storm, M. Gilbertson, S. Lichtenberg, J. Powell, D. Walsh, J. Zhu, W.C. Turner. Modeling host behavior and environmental transmission of chronic wasting disease. Annual Conference of Research Workers in Animal Diseases (CRWAD), Chicago, Illinois, USA, January 20-23, 2024. January 2023
Mandujano Reyes, J. F., I. P. McGahan, T. F. Ma, R.E. Russell, D. P. Walsh, and J. Zhu. 2023. Learning complex spatial dynamics of ecological processes with machine learning-guided partial differential equations. NeurIPS, New Orleans, LA,USA 12/10/23-12/16/23 December 2023
Ketz, A. C., D. J. Storm, W. C. Turner, and D. P. Walsh. 2023. Progression of a chronic wasting disease epizootic: A spatiotemporal integrated population model. 4th International CWD Symposium. Denver, Colorado, USA. May 31- June 2, 2023. May 2023
Katircioglu, S., M. Hunsaker, A. Herbst, S.S. Lichtenberg, D.J. Storm, D.P. Walsh, W.C. Turner. Comparing relative PrP(CWD) loads in soil from deer scrapes and food plots in southern Wisconsin. 4th International Conference on Chronic Wasting Disease May 2023
Inzalaco, H.N., M.L.J. Gilbertson, S. Katircioglu, K. Lepard, J. McEarl, A. Bibb, J. Dennison, D. Grove, A. Houston, D.J. Storm, D.P. Walsh, W.C. Turner, S.S. Lichtenberg. Artificial mineral sites that pre-date endemic chronic wasting disease become prion hotspots. 4th International Chronic Wasting Disease Symposium. Denver, Colorado, USA. May 30 – June 2, 2023. May 2023
Inzalaco, H.N., E.E. Brandell, S. Wilson, M. Hunsaker, D.R. Stahler, K. Woelfel, D.P. Walsh, D.J. Storm, S.S. Lichtenberg, W.C. Turner. A prion in a poop-stack: detection tools and carnivore-based surveillance of chronic wasting disease. 4th International Chronic Wasting Disease Symposium. Denver, Colorado, USA. May 30 – June 2, 2023. May 2023
Gilbertson, M.L.J., A. Ketz, M. Hunsaker, D.P. Walsh, D.J. Storm, W.C. Turner. Seasonal variation in white-tailed deer (<i>Odocoileus virginianus</i>) habitat selection, encounter locations, and chronic wasting disease transmission potential. 4<sup>th</sup> International Chronic Wasting Disease Symposium. Denver, Colorado, USA. May 30 – June 2, 2023. May 2023
Ensrud, M. N., D. P. Walsh, E. F. Cassirer, C. P. Lehman and J. A. Jenks. 2023. FURTHER EVIDENCE THAT THE REMOVAL OF MYCOPLASMA<br>OVIPNEUMONIAE CARRIER BIGHORN SHEEP INCREASES LAMB SURVIVAL. South Dakota Chapter of The Wildlife Society. Chamberlain-Oacoma, South Dakota, USA. March 7-10,2023. March 2023
Chandika, R. G., A. Tallon, P. Euclide, C. Ott-Conn J. A. Blanchong, D. P. Walsh -R. DeYoung and E. Latch. 2024. Lessons from optimizing a GT-seq panel. The Wildlife Society Annual Conference. Baltimore, MD, USA. 10/19-10/23/2024. October 2024
Brandell, E. E., W. Turner, D. P. Walsh, D. Storm, B. Wojcik and T. Van Deelen. 2023. Evaluating white-tailed deer harvest in Wisconsin and relationships to management practices and chronic wasting disease. 4<sup>th</sup> International Chronic Wasting Disease Symposium. Denver, Colorado, USA. May 30 – June 2, 2023. May 2023
Boccadori, V., K. Proffitt, and D. P. Walsh. 2022. Testing the tools: Montana's Highlands bighorn sheep (<i>Ovis canadensis) </i>project. Northern Wild Sheep and Goat Council Symposium. Jackson Hole, Wyoming. 4/4-4/7/2022. April 2022
Blanchong, J., D. Navarro, A. K. Tallon, P. Euclide, C. Ott-Conn, D. P. Walsh, R. W. DeYoung, and E. K. Latch. Development and application of a high-throughput genomic resource to inform white-tailed deer population and disease management. Part 1 of 2. The Wildlife Society Annual Conference. Spokane, WA 11/9/2022. November 2022
Alison C. Ketz, Daniel J. Storm, Daniel P. Walsh. 2022. Anomaly detection: A multivariate time series algorithm for predicting changes in real time. The Wildlife Society Conference, Spokane, WA. 11/8/2022 November 2022
<b>Reyes, J. F. M., T. F. Ma, I. McGahan, D. J. Storm, D. P. Walsh, and J. Zhu. Physics-informed neural networks for spatio-temporal causal inference in wildlife disease modeling. Midwest Machine Learning Symposium. Dorin Forum, University of Illinois, Chicago, IL, USA. May 16-17, 2023.</b><br><b> </b> May 2023
Technical Publications Publication Date
Hopkins, M.C., Carlson, C.M., Cross, P.C., Johnson, C.J., Richards, B.J., Russell, R.E., Samuel, M.D., Sargeant, G.A., Walsh, D.P., and Walter, W.D., 2019, Chronic wasting disease—Research by the U.S. Geological Survey and partners: U.S. Geological Survey Open-File Report 2019‒1109, 29 p., https://doi.org/10.3133/ofr20191109. | Download September 2019
Type Citation Publication Date
Software Release Walsh, D.P., Ballmann, A.E., and Russell, R.E. 2024. Pseudogymnoascus destructans detections by US county 2007-2022: U.S. Geological Survey data release, https://doi.org/10.5066/P1Z9YTHB. May 2024
Software Release Walsh DP, Martin J, Robertson EP, Work TM, Kellogg CA, Evans JS, Barker V, Hawthorn A, Aeby G, Paul V, Walker BK, Kiryu Y, Woodley CM, Meyer JL, Rosales SM, Studivan M, Moore JF, Brandt ME, Bruckner A. Code for: Rapid prototyping for quantifying belief weights of competing hypotheses about emergent diseases. Version 1.0.0: U.S. Geological Survey software release https://doi.org/10.5066/P9S9JDVB 2022
Software Release Reyes J.F.M., Walsh, D., and Zhu, J. Example code for implementing physics-informed neural networks and generating simulated data. 2024. Version 1.0.0: U.S. Geological Survey software release. Reston, Va. https://doi.org/10.5066/P13VMCUO October 2023
Data Release Martin, J., Walsh, D.P., Robertson, E.P., Work, T.M., Kellogg, C.A., Evans, J.S., Barker, V., Hawthorn, A., Aeby, G., Paul, V.J., Walker, B.K., Kiryu, Y., Woodley, C.M., Meyer, J.L., Rosales, S.M., Studivan, M., Moore, J.F., Brandt, M.E., and Bruckner, A., 2023, Expert assessments of hypotheses concerning the etiological agent(s) of Stony Coral Tissue Loss Disease collected during a rapid prototyping project.: U.S. Geological Survey data release, https://doi.org/10.5066/P9DLNEBY. January 2023
Software Release Ketz, A.C., D.J. Storm, R.E. Barker, A.D. Apa, C. Oliva-Aviles, and D.P. Walsh. Assimilating ecological theory with empiricism: Using constrained generalized additive models to enhance survival analyses. Version 1.0.0: U.S. Geological Survey software release. Reston, Va. https://doi.org/10.5066/P9ANP64H January 2023
Software Release Ketz, A., Storm, D.J., Barker, R., Apa, A.D., Oliva-Aviles, C., and Walsh, D.P., 2022, Data for Assimilating ecological theory with empiricism: Using constrained generalized additive models to enhance survival analyses: U.S. Geological Survey data release, https://doi.org/10.5066/P9ONA9J0. January 2023
Software Release Hanley BJ, Mitchell CI, Walter WD, Walsh DP, Jennelle CS, Hollingshead NA, Abbott RC, Kelly JD, Grove DM, Them CE, Ahmed MS, Miller LA, & Schuler KL. 2023. Chronic Wasting Disease Surveillance Optimization Software Version 2 [Software]. 2.0.0. U.S. Geological Survey Software Release. https://doi.org/10.5066/P9W7JVNJ. March 2023
Data Release Cook, J. D., D. M. Williams, D. P. Walsh, and T. J. Hefley. 2023. Bayesian composition sampling. U.S. Geological Survey Software Release. https://doi.org/10.5066/P9XMF7FS. January 2023