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  Predominance and geo-mapping of avian influenza H5N1 in poultry sectors in Egypt

  Abdelsatar Arafa, Ihab El-Masry, Shereen Khoulosy, Mohammed K. Hassan, Moussa Soliman, Olubunmi G. Fasanmi, Folorunso O. Fasina, Gwenaelle Dauphin, Juan Lubroth, Yilma M. Jobre

  28-11-2016

  https://doi.org/10.4081/gh.2016.492

  2899

  PDF: 1197

  APPENDIX: 489

  HTML: 1520

• Rivers and flooded areas identified by medium-resolution remote sensing improve risk prediction of the highly pathogenic avian influenza H5N1 in Thailand

  Weerapong Thanapongtharm, Thomas P. Van Boeckel, Chandrashekhar Biradar, Xiangming Xiao, Marius Gilbert

  193-201

  01-11-2013

  https://doi.org/10.4081/gh.2013.66

  1902

  PDF: 1177

• Identifying areas of Australia at risk for H5N1 avian influenza infection from exposure to nomadic waterfowl moving throughout the Australo-Papuan region

  Iain J. East, Samuel A. Hamilton, Louise A. Sharp, Michael G. Garner

  17-27

  01-11-2008

  https://doi.org/10.4081/gh.2008.228

  1652

  PDF: 1691

• Agro-ecological features of the introduction and spread of the highly pathogenic avian influenza (HPAI) H5N1 in northern Nigeria

  Giuliano Cecchi, Albert Ilemobade, Yvon Le Brun, Lenny Hogerwerf, Jan Slingenbergh

  7-16

  01-11-2008

  https://doi.org/10.4081/gh.2008.227

  2292

  PDF: 1186

• Identifying areas of Australia at risk of H5N1 avian influenza infection from exposure to migratory birds: a spatial analysis

  Iain J. East, Samuel Hamilton, Graeme Garner

  203-213

  01-05-2008

  https://doi.org/10.4081/gh.2008.244

  1934

  PDF: 1184
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  Modelling the domestic poultry population in the United States: A novel approach leveraging remote sensing and synthetic data methods

  Kelly A. Patyk, Mary J. McCool-Eye, David D. South, Christopher L. Burdett, Susan A. Maroney, Andrew Fox, Grace Kuiper, Sheryl Magzamen

  10-12-2020

  https://doi.org/10.4081/gh.2020.913

  3870

  PDF: 1472

  HTML: 186