Montana Cooperative Wildlife Research Unit Staff Member
Dr. Daniel P 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 whiteâ€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 |
| 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 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 |
| 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 |