Global Wildlife Disease News Map

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Putting Wildlife Health News on the Map

The Global Wildlife Disease News Map displays news articles from the Wildlife Disease News Digest. On it users can easily see wildlife disease headlines both locally and globally. The Map displays Wildlife Disease News Digest articles that have been posted within the last 45 days that have a geographical reference. The complete collection of articles, going back to December 2005, can be found on the Digest.

See what wildlife health issues are making the news in your area or around the world by visiting the Global Wildlife Disease News Map here.

Live Maps and Data

The Live Maps and Data community site features searchable databases and mapping applications related to wildlife disease:


Wildlife Health Monitoring Network

Image of a mapThe Wildlife Health Monitoring Network (WHMN) is a collaboration between public and private institutions, including the general public, dedicated to a better understanding of health and disease in free-ranging wildlife. The objective for the suite of tools on this site will allow for timely reporting and analysis of wildlife morbidity and mortality events. Through this process, the wildlife health community will gain a national perspective and enhance the ability to recognize atypical events, caused by either natural or man-made processes.  For more information, read the WHMN fact sheet [pdf].



Components of the Wildlife Health Monitoring Network

Little brown bat with fungus on muzzle Wildlife Health Event Reporter (WHER)
The Wildlife Health Event Reporter (WHER) was created so that anyone with an Internet connection can report sightings of sick or dead wildlife. Taken together these individual reports create a body of wildlife disease surveillance data that can be downloaded from WHER for analysis or integration with a local data system in order to gain a better understanding of wildlife disease and its potential impact on wildlife, human, and domestic animal health. Get information and news about WHER here at news.wher.org.
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National HPAI Early Detection Data System (HEDDS)
The development of a national database for an Early Detection System for Asian H5N1 Highly Pathogenic Avian Influenza represents one of the goals outlined in the U.S. Interagency Strategic Plan.  As part of its Wildlife Health Monitoring Network, the NBII Wildlife Disease Information Node helped met this objective by developing the National HPAI Early Detection Data System (HEDDS) that contains HPAI data collected in accordance with Plan guidelines and can be used by all agencies, organizations, and policy makers.

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Seabird Ecological Assessment Network (SEANET)
The Seabird Ecological Assessment Network (SEANET) is a collaborative project of over 50 non-profit organizations. Volunteers monitor stretches of beach once or twice per month, collecting data on bird mortality, live birds, and beach conditions. Because regular beached bird surveys have not been done in this region, these surveys will provide baseline information about bird mortality, as well as help detect mass mortality events such as oil spills. Numerous other threats such as contaminants, diseases, and offshore development threaten coastal and marine birds, which can serve as indicators of ecosystem and human health. SEANET has more than 300 volunteers and students monitoring beaches from New Jersey to Maine.  To stay up to date on the latest SEANET news, visit the SEANET blog.

picture of an elk

Chronic Wasting Disease Data Clearinghouse
The Chronic Wasting Disease Data Clearinghouse (CWDDC) is a collaboration of state, federal and tribal agencies interested in examining the occurence of chronic wasting disease (CWD) on a regional and national basis. This site has been established as a data management tool for CWD testing results, either through direct data entry, or transfer from agency files. Along with reporting and browsing mechanisms, the system also offers the use of geographic information systems (GIS) for data analysis and exploration.



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