Chapter title |
Wild bird surveillance for avian influenza virus.
|
---|---|
Chapter number | 7 |
Book title |
Animal Influenza Virus
|
Published in |
Methods in molecular biology, June 2014
|
DOI | 10.1007/978-1-4939-0758-8_7 |
Pubmed ID | |
Book ISBNs |
978-1-4939-0757-1, 978-1-4939-0758-8
|
Authors |
Brown JD, Poulson R, Stallknecht DE, Justin D. Brown, Rebecca Poulson, David E. Stallknecht |
Abstract |
Avian influenza (AI) viruses have been isolated from a wide-diversity of free-living avian species representing several taxonomic orders. Isolations are most frequently reported from aquatic birds in the Orders Anseriformes and Charadriiformes, which are believed to be the primordial reservoirs for all AI viruses. Since first recognized in the late 1800s, AI viruses have been an important agent of disease in poultry and, occasionally, of non-gallinaceous birds and mammals. However, recent infections of humans with AI viruses, including highly pathogenic avian influenza (HPAI) H5N1 virus and low pathogenicity H7N9 AI virus in China during 2013, have increased the awareness of their potential to impact agricultural, wildlife, and public health. This chapter is intended to give general concepts and guidelines for planning and implementing surveillance programs for AI virus in wild birds. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 3 | 25% |
Student > Bachelor | 2 | 17% |
Student > Master | 2 | 17% |
Student > Doctoral Student | 1 | 8% |
Professor > Associate Professor | 1 | 8% |
Other | 0 | 0% |
Unknown | 3 | 25% |
Readers by discipline | Count | As % |
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Veterinary Science and Veterinary Medicine | 4 | 33% |
Environmental Science | 1 | 8% |
Agricultural and Biological Sciences | 1 | 8% |
Immunology and Microbiology | 1 | 8% |
Medicine and Dentistry | 1 | 8% |
Other | 0 | 0% |
Unknown | 4 | 33% |