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Influenza A viruses are one of the most significant viral groups globally with substantial impacts on human, domestic animal and wildlife health. Wild birds are the natural reservoirs for these viruses, and active surveillance within wild bird populations provides critical information about viral evolution forming the basis of risk assessments and counter measure development. Unfortunately, active surveillance programs are often resource-intensive, and thus enhancing programs for increased efficiency is paramount. Machine learning, a branch of artificial intelligence applications, provides statistical learning procedures that can be used to gain novel insights into disease surveillance systems. We use a form of...
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WHISPers stands for Wildlife Health Information Sharing Partnership - event reporting system. It is a web-based repository for sharing basic information about historic and ongoing wildlife mortality (death) and morbidity (illness) events. The system possesses a searchable archive of wildlife mortality and morbidity event data that is available to the public. The information is opportunistically collected and does not reflect all the mortality events that occur in North America. WHISPers is driven by a subset of data housed in NWHC’s ‘Epizoo’ database (http://data.usgs.gov/datacatalog/#q=EPIZOO).
Types: Citation; Tags: Alabama, Alaska, American Samoa, Arizona, Arkansas, All tags...
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Data were collected as part of an investigation developed by Leetown Science Center to investigate the comparative detection of avian influenza viruses from waterfowl and potential environmental reservoirs such as aquatic sediment from waterfowl habitat. This dataset identifies positive or negative test results for qRT-PCR (quantitative reverse transcriptase polymerase chain reaction) for avian influenza virus through identification of the Type A influenza virus matrix gene from aquatic sediment samples. Sediment samples were collected from waterfowl habitat so as to determine if temporal and spatial differences in virus detection by qRT-PCR were evident among test sites.
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This data set includes information pertaining to 300 bivalve mollusk tissue samples collected from mollusk specimens from waters in eastern Maryland on the Delmarva Peninsula. Data includes source location, species, morphometric data, and IAV matrix gene detection status for the bivalve samples collected and analyzed in the associated study.
This data release contains model outputs depicting the probability of an H5 or H7 avian influenza outbreak at any given point in the continental United States for each week of the year.
Data release contains 1710 polygons representing small bodies of water within 500 meters of poultry feeding operations on the Delmarva Peninsula. Ponds were identified using the USDA's National Agriculture Imagery Program's 2016 and 2017 products. Poultry feeding operations were described in location by Soroka and Duren (2020).


    map background search result map search result map WHISPers (Wildlife Health Information Sharing Partnership-event reporting system) Molecular detection of avian influenza virus from sediment samples in waterfowl habitats on the Delmarva Peninsula, USA Influenza A virus detected from bivalves in waterfowl habitat of the Delmarva Peninsula Waterfowl occurrence and residence time as indicators of H5 and H7 avian influenza in North American Poultry Water bodies within 500 meters of poultry feeding operations on the Delmarva Peninsula in 2016 and 2017 Influenza A virus detected from bivalves in waterfowl habitat of the Delmarva Peninsula Water bodies within 500 meters of poultry feeding operations on the Delmarva Peninsula in 2016 and 2017 Waterfowl occurrence and residence time as indicators of H5 and H7 avian influenza in North American Poultry WHISPers (Wildlife Health Information Sharing Partnership-event reporting system)