Expanding National‐Scale Wildlife Disease Surveillance Systems With Research Networks
ABSTRACT Efficient learning about disease dynamics in free‐ranging wildlife systems can benefit from active surveillance that is standardized across different ecological contexts. For example, active surveillance that targets specific individuals and populations with standardized sampling across eco...
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| Format: | Article |
| Language: | English |
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Wiley
2025-06-01
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| Series: | Ecology and Evolution |
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| Online Access: | https://doi.org/10.1002/ece3.71492 |
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| author | Kim M. Pepin Matthew A. Combs Guillaume Bastille‐Rousseau Meggan E. Craft Paul Cross Maria A. Diuk‐Wasser Roderick B. Gagne Travis Gallo Tyler Garwood Jonathon D. Heale Joshua Hewitt Jennifer Høy‐Petersen Jennifer Malmberg Jennifer Mullinax Laura Plimpton Lauren Smith Meredith C. VanAcker Jeffrey C. Chandler W. David Walter Grete Wilson‐Henjum George Wittemyer Kezia Manlove |
| author_facet | Kim M. Pepin Matthew A. Combs Guillaume Bastille‐Rousseau Meggan E. Craft Paul Cross Maria A. Diuk‐Wasser Roderick B. Gagne Travis Gallo Tyler Garwood Jonathon D. Heale Joshua Hewitt Jennifer Høy‐Petersen Jennifer Malmberg Jennifer Mullinax Laura Plimpton Lauren Smith Meredith C. VanAcker Jeffrey C. Chandler W. David Walter Grete Wilson‐Henjum George Wittemyer Kezia Manlove |
| author_sort | Kim M. Pepin |
| collection | DOAJ |
| description | ABSTRACT Efficient learning about disease dynamics in free‐ranging wildlife systems can benefit from active surveillance that is standardized across different ecological contexts. For example, active surveillance that targets specific individuals and populations with standardized sampling across ecological contexts (landscape‐scale targeted surveillance) is important for developing a mechanistic understanding of disease emergence, which is the foundation for improving risk assessment of zoonotic or wildlife‐livestock disease outbreaks and predicting hotspots of disease emergence. However, landscape‐scale targeted surveillance systems are rare and challenging to implement. Increasing experience and infrastructure for landscape‐scale targeted surveillance will improve readiness for rapid deployment of this type of surveillance in response to new disease emergence events. Here, we describe our experience developing and rapidly deploying a landscape‐scale targeted surveillance system for severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) in two free‐ranging deer species across their ranges in the United States. Our surveillance system was designed to collect data across individual, population, and landscape scales for future analyses aimed at understanding mechanisms and risk factors of SARS‐CoV‐2 transmission, evolution, and persistence. Our approach leveraged partnerships between state and federal public service sectors and academic researchers in a landscape‐scale targeted surveillance research network. Methods describe our approach to developing the surveillance network and sampling design. Results report challenges with implementing our intended sampling design, specifically how the design was adapted as different challenges arose and summarize the sampling design that has been implemented thus far. In the discussion, we describe strategies that were important for the successful deployment of landscape‐scale targeted surveillance, development and operation of the research network, construction of similar networks in the future, and analytical approaches for the data based on the sampling design. |
| format | Article |
| id | doaj-art-3a89f366b0fe40d2bf5e4308d1ad170a |
| institution | DOAJ |
| issn | 2045-7758 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | Ecology and Evolution |
| spelling | doaj-art-3a89f366b0fe40d2bf5e4308d1ad170a2025-08-20T02:43:38ZengWileyEcology and Evolution2045-77582025-06-01156n/an/a10.1002/ece3.71492Expanding National‐Scale Wildlife Disease Surveillance Systems With Research NetworksKim M. Pepin0Matthew A. Combs1Guillaume Bastille‐Rousseau2Meggan E. Craft3Paul Cross4Maria A. Diuk‐Wasser5Roderick B. Gagne6Travis Gallo7Tyler Garwood8Jonathon D. Heale9Joshua Hewitt10Jennifer Høy‐Petersen11Jennifer Malmberg12Jennifer Mullinax13Laura Plimpton14Lauren Smith15Meredith C. VanAcker16Jeffrey C. Chandler17W. David Walter18Grete Wilson‐Henjum19George Wittemyer20Kezia Manlove21National Wildlife Research Center, Wildlife Services, Animal and Plant Health Inspection Service United States Department of Agriculture Fort Collins Colorado USANational Wildlife Research Center, Wildlife Services, Animal and Plant Health Inspection Service United States Department of Agriculture Fort Collins Colorado USACooperative Wildlife Research Laboratory Southern Illinois University Carbondale Illinois USADepartment of Ecology, Evolution, and Behavior University of Minnesota St. Paul Minnesota USAU.S. Geological Survey Northern Rocky Mountain Science Center Bozeman Montana USADepartment of Ecology, Evolution, and Environmental Biology Columbia University New York City New York USADepartment of Pathobiology, Wildlife Futures Program University of Pennsylvania School of Veterinary Medicine Kennett Pennsylvania USADepartment of Environmental Science and Technology University of Maryland College Park Maryland USADepartment of Ecology, Evolution, and Behavior University of Minnesota St. Paul Minnesota USAWildlife Services, Animal and Plant Health Inspection Services United States Department of Agriculture Fort Collins Colorado USANational Wildlife Research Center, Wildlife Services, Animal and Plant Health Inspection Service United States Department of Agriculture Fort Collins Colorado USADepartment of Pathobiology, Wildlife Futures Program University of Pennsylvania School of Veterinary Medicine Kennett Pennsylvania USANational Wildlife Research Center, Wildlife Services, Animal and Plant Health Inspection Service United States Department of Agriculture Fort Collins Colorado USADepartment of Environmental Science and Technology University of Maryland College Park Maryland USADepartment of Ecology, Evolution, and Environmental Biology Columbia University New York City New York USANational Wildlife Research Center, Wildlife Services, Animal and Plant Health Inspection Service United States Department of Agriculture Fort Collins Colorado USADepartment of Ecology, Evolution, and Environmental Biology Columbia University New York City New York USANational Wildlife Research Center, Wildlife Services, Animal and Plant Health Inspection Service United States Department of Agriculture Fort Collins Colorado USAU.S. Geological Survey, Pennsylvania Cooperative Fish and Wildlife Research Unit The Pennsylvania State University University Park Pennsylvania USANational Wildlife Research Center, Wildlife Services, Animal and Plant Health Inspection Service United States Department of Agriculture Fort Collins Colorado USADepartment of Fish, Wildlife and Conservation Biology Colorado State University Fort Collins Colorado USADepartment of Wildland Resources and Ecology Center Utah State University Logan Utah USAABSTRACT Efficient learning about disease dynamics in free‐ranging wildlife systems can benefit from active surveillance that is standardized across different ecological contexts. For example, active surveillance that targets specific individuals and populations with standardized sampling across ecological contexts (landscape‐scale targeted surveillance) is important for developing a mechanistic understanding of disease emergence, which is the foundation for improving risk assessment of zoonotic or wildlife‐livestock disease outbreaks and predicting hotspots of disease emergence. However, landscape‐scale targeted surveillance systems are rare and challenging to implement. Increasing experience and infrastructure for landscape‐scale targeted surveillance will improve readiness for rapid deployment of this type of surveillance in response to new disease emergence events. Here, we describe our experience developing and rapidly deploying a landscape‐scale targeted surveillance system for severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) in two free‐ranging deer species across their ranges in the United States. Our surveillance system was designed to collect data across individual, population, and landscape scales for future analyses aimed at understanding mechanisms and risk factors of SARS‐CoV‐2 transmission, evolution, and persistence. Our approach leveraged partnerships between state and federal public service sectors and academic researchers in a landscape‐scale targeted surveillance research network. Methods describe our approach to developing the surveillance network and sampling design. Results report challenges with implementing our intended sampling design, specifically how the design was adapted as different challenges arose and summarize the sampling design that has been implemented thus far. In the discussion, we describe strategies that were important for the successful deployment of landscape‐scale targeted surveillance, development and operation of the research network, construction of similar networks in the future, and analytical approaches for the data based on the sampling design.https://doi.org/10.1002/ece3.71492chronic wasting diseasedisease emergencemule deeropportunistic surveillanceSARS‐CoV‐2severe acute respiratory syndrome coronavirus 2 |
| spellingShingle | Kim M. Pepin Matthew A. Combs Guillaume Bastille‐Rousseau Meggan E. Craft Paul Cross Maria A. Diuk‐Wasser Roderick B. Gagne Travis Gallo Tyler Garwood Jonathon D. Heale Joshua Hewitt Jennifer Høy‐Petersen Jennifer Malmberg Jennifer Mullinax Laura Plimpton Lauren Smith Meredith C. VanAcker Jeffrey C. Chandler W. David Walter Grete Wilson‐Henjum George Wittemyer Kezia Manlove Expanding National‐Scale Wildlife Disease Surveillance Systems With Research Networks Ecology and Evolution chronic wasting disease disease emergence mule deer opportunistic surveillance SARS‐CoV‐2 severe acute respiratory syndrome coronavirus 2 |
| title | Expanding National‐Scale Wildlife Disease Surveillance Systems With Research Networks |
| title_full | Expanding National‐Scale Wildlife Disease Surveillance Systems With Research Networks |
| title_fullStr | Expanding National‐Scale Wildlife Disease Surveillance Systems With Research Networks |
| title_full_unstemmed | Expanding National‐Scale Wildlife Disease Surveillance Systems With Research Networks |
| title_short | Expanding National‐Scale Wildlife Disease Surveillance Systems With Research Networks |
| title_sort | expanding national scale wildlife disease surveillance systems with research networks |
| topic | chronic wasting disease disease emergence mule deer opportunistic surveillance SARS‐CoV‐2 severe acute respiratory syndrome coronavirus 2 |
| url | https://doi.org/10.1002/ece3.71492 |
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