A global model of avian influenza prediction in wild birds: the importance of northern regions
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Published:2013-06-13
Issue:1
Volume:44
Page:
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ISSN:1297-9716
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Container-title:Veterinary Research
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language:en
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Short-container-title:Vet Res
Author:
Herrick Keiko A,Huettmann Falk,Lindgren Michael A
Abstract
Abstract
Avian influenza virus (AIV) is enzootic to wild birds, which are its natural reservoir. The virus exhibits a large degree of genetic diversity and most of the isolated strains are of low pathogenicity to poultry. Although AIV is nearly ubiquitous in wild bird populations, highly pathogenic H5N1 subtypes in poultry have been the focus of most modeling efforts. To better understand viral ecology of AIV, a predictive model should 1) include wild birds, 2) include all isolated subtypes, and 3) cover the host’s natural range, unbounded by artificial country borders. As of this writing, there are few large-scale predictive models of AIV in wild birds. We used the Random Forests algorithm, an ensemble data-mining machine-learning method, to develop a global-scale predictive map of AIV, identify important predictors, and describe the environmental niche of AIV in wild bird populations. The model has an accuracy of 0.79 and identified northern areas as having the highest relative predicted risk of outbreak. The primary niche was described as regions of low annual rainfall and low temperatures. This study is the first global-scale model of low-pathogenicity avian influenza in wild birds and underscores the importance of largely unstudied northern regions in the persistence of AIV.
Publisher
Springer Science and Business Media LLC
Subject
General Veterinary
Reference48 articles.
1. Garten RJ, Davis CT, Russell CA, Shu B, Lindstrom S, Balish A, Sessions WM, Xu X, Skepner E, Deyde V, Okomo-Adhiambo M, Gubareva L, Barnes J, Smith CB, Emery SL, Hillman MJ, Rivailler P, Smagala J, de Graaf M, Burke DF, Fouchier RA, Pappas C, Alpuche-Aranda CM, López-Gatell H, Olivera H, López I, Myers CA, Faix D, Blair PJ, Yu C: Antigenic and genetic characteristics of swine-origin 2009 A(H1N1) influenza viruses circulating in humans. Science. 2009, 325: 197-201. 10.1126/science.1176225. 2. Stallknecht DE, Brown JD: Wild birds and the epidemiology of avian influenza. J Wildl Dis. 2007, 43: S15-S20. 3. Subbarao K, Klimov A, Katz J, Regnery H, Lim W, Hall H, Perdue M, Swayne D, Bender C, Huang J, Hemphill M, Rowe T, Shaw M, Xu X, Fukuda K, Cox N: Characterization of an avian influenza A (H5N1) virus isolated from a child with a fatal respiratory illness. Science. 1998, 279: 393-396. 10.1126/science.279.5349.393. 4. Kandun IN, Wibisono H, Sedyaningsih ER, Yusharmen Hadisoedarsuno W, Purba W, Santoso H, Septiawati C, Tresnaningsih E, Heriyanto B, Yuwono D, Harun S, Soeroso S, Giriputra S, Blair PJ, Jeremijenko A, Kosasih H, Putnam SD, Samaan G, Silitonga M, Chan KH, Poon LL, Lim W, Klimov A, Lindstrom S, Guan Y, Donis R, Katz J, Cox N, Peiris M: Three Indonesian clusters of H5N1 virus infection in 2005. N Engl J Med. 2006, 355: 2186-2194. 10.1056/NEJMoa060930. 5. Ligon BL: Avian influenza virus H5N1: a review of its history and information regarding its potential to cause the next pandemic. Semin Pediatr Infect Dis. 2005, 16: 236-335.
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