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WDIN Partnership Collaborations

Art clip of handshake used to symbolize WDIN partnership collaborations
Microsoft Clip Art

The Highly Pathogenic Avian Influenza Early Detection Data System (HEDDS) is a national database that will contain Asian H5N1 Highly Pathogenic Avian Influenza data collected for surveillance efforts. It can be used by all agencies, organizations, and policy makers.

The Seabird Ecological Assessment Network (SEANET) is a collaborative project of over 50 non-profit organizations and agencies including WDIN. SEANET volunteers monitor stretches of coastline collecting data on bird mortality, live birds, and beach conditions.

A One-Stop Resource to Wildlife Health Information

NBII and WDIN Logo

The Wildlife Disease Information Node is a dynamic and evolving Web resource, reflecting the expanding and continually changing face of wildlife disease. As more partners come together as part of this collaborative project, their contributions will create a distributed wildlife disease information and data warehouse, a valuable resource for all to share and use for the enhanced understanding and management of wildlife diseases around the world.

WDIN Objectives

  • Building partnerships and providing tools to facilitate long-term collaborative efforts in the wildlife disease arena.

  • Facilitate access to data and information on wildlife and zoonotic diseases;

  • Visualize clusters on morbidity and mortality events;

  • Track the prevalence and spread of various diseases at the most discrete spatial and temporal levels through interactive GIS mapping and other applications;

  • Predict possible new disease appearances;

  • Identify previously unrecognized wildlife-human-domestic animal disease relationships;

  • Help limit further disease spread;

  • Help prevent future outbreaks.

Our Partners
Showing 8 Results
CollapseSeabird Ecological Assessment Network (SEANET)
SEANET brings together interdisciplinary researchers and volunteers in a long-term collaborative effort to identify threats to marine birds in the northeastern US and Atlantic Canada. SEANET partnered with the Wildlife Disease Information Node to design a web-based data entry system for their bird morality data, which is replacing their paper-based data collection system, and it eventually will feed directly into the Wildlife Health Monitoring Network database.
Partner Type: University Partners
Node Affiliation: Wildlife Disease Node
ExpandU.S. Department of Agriculture, Animal and Plant Health Inspection Service (USDA-APHIS), Veterinary Services
ExpandU.S. Geological Survey, National Wildlife Health Center ( USGS-NWHC )
ExpandUniversity of Wisconsin, Madison/ The Nelson Institute for Environmental Studies
ExpandVirginia Tech. Veterinary Terminology Services Lab – Va-Md Regional College of Veterinary Medicine
ExpandWildlife Information Network
ExpandWisconsin Department of Natural Resources
ExpandYale Occupational and Environmental Medicine Program (Canary Database)

Wildlife Disease Fact Sheet

Wildlife Disease Fact Sheet

WDIN is a collaborative project working to develop a Web-based monitoring and reporting system to provide state and federal resource managers, animal disease specialists, veterinary diagnostic laboratories, physicians, public health workers, educators, and the general public with access to data on wildlife diseases, mortality events, and other critical related information. Data are contributed voluntarily, with partners deciding which data they choose to share. Building partnerships and providing tools to facilitate long-term collaborative efforts in the wildlife disease arena through a Web-based monitoring and reporting system are being pursued to facilitate access to data and information.

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Node Management

Jennifer Carlino
Node Manager
U.S. Geological Survey

F. Joshua Dein
Principal Investigator
U.S. Geological Survey

Megan Hines
Technical Lead
U.S. Geological Survey
608.270.2400 x2333

Cris Marsh
Content Lead
U.S. Geological Survey

The NBII Program is administered by the Biological Informatics Program of the U.S. Geological Survey
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