Daniel P. Walsh, PhD
Assistant Unit Leader - Montana Cooperative Wildlife Research Unit
Since joining the USGS in 2011, his research has focused on developing and applying quantitative approaches to understanding and managing wildlife disease processes. He has conducted applied research on a wide array of diseases including bighorn sheep respiratory disease, chronic wasting disease, Newcastle Disease, and Avian Influenza. He also conducts capacity building in wildlife disease management for countries throughout the world in collaboration with the World Organisation for Animal Health (OIE).
Professional Experience
2011 – Present Quantitative Ecologist, U.S. Geological Survey, National Wildlife Health Center, Madison WI
2007 – 2011 Disease Researcher, Colorado Division of Wildlife
2003 – 2007 Research Assistant-Michigan State University
2000 – 2002 Research Assistant-Colorado State University
Education and Certifications
Ph. D. Fisheries and Wildlife, Michigan State University, 2007
M. S. Statistics Michigan State University, 2007
M. S. Fish and Wildlife Biology, Colorado State University, 2002
B. S. Fisheries and Wildlife, Michigan State University, 1999
Affiliations and Memberships*
Honorary Fellow, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison
Affiliate Faculty, South Dakota State University
Member of the Wildlife Disease Association
Member of the Wildlife Society
Member of the North Central Section of the Wildlife Society
Member of Wisconsin Chapter of the Wildlife Society
Science and Products
The Bayesian group lasso for confounded spatial data
A framework for modeling emerging diseases to inform management
When can the cause of a population decline be determined?
No evidence of infection or exposure to Highly Pathogenic Avian Influenzas in peridomestic wildlife on an affected poultry facility
U.S. Geological Survey science strategy for highly pathogenic avian influenza in wildlife and the environment (2016–2020)
“One Health” or three? Publication silos among the One Health disciplines
Concordance in diagnostic testing for respiratory pathogens of bighorn sheep
Integrated survival analysis using an event-time approach in a Bayesian framework
Spatial and temporal patterns of avian paramyxovirus-1 outbreaks in Double-Crested Cormorants (Phalacrocorax auritus) in the USA
Using auxiliary information to improve wildlife disease surveillance when infected animals are not detected: A Bayesian approach
Techniques for capturing bighorn sheep lambs
Enhanced surveillance strategies for detecting and monitoring chronic wasting disease in free-ranging cervids
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
Science and Products
The Bayesian group lasso for confounded spatial data
A framework for modeling emerging diseases to inform management
When can the cause of a population decline be determined?
No evidence of infection or exposure to Highly Pathogenic Avian Influenzas in peridomestic wildlife on an affected poultry facility
U.S. Geological Survey science strategy for highly pathogenic avian influenza in wildlife and the environment (2016–2020)
“One Health” or three? Publication silos among the One Health disciplines
Concordance in diagnostic testing for respiratory pathogens of bighorn sheep
Integrated survival analysis using an event-time approach in a Bayesian framework
Spatial and temporal patterns of avian paramyxovirus-1 outbreaks in Double-Crested Cormorants (Phalacrocorax auritus) in the USA
Using auxiliary information to improve wildlife disease surveillance when infected animals are not detected: A Bayesian approach
Techniques for capturing bighorn sheep lambs
Enhanced surveillance strategies for detecting and monitoring chronic wasting disease in free-ranging cervids
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
*Disclaimer: Listing outside positions with professional scientific organizations on this Staff Profile are for informational purposes only and do not constitute an endorsement of those professional scientific organizations or their activities by the USGS, Department of the Interior, or U.S. Government