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  Spatial distribution and predictive risk of perpetuation of non-typhoidal salmonellosis in poultry farms and human communities: meta-analysis of data from Nigeria

  Abdullahi O. Sanni , Annelize Jonker, Olatunji O. Johnson , Ezra Gayawan , Aminu Shittu , Olubunmi G. Fasanmi , Oluwawemimo A. Adebowale , Folorunso O. Fasina

  12-02-2026

  https://doi.org/10.4081/gh.2026.1316

  759

  PDF: 404

  Supplementary Materials: 97

  HTML: 16
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  One health review of recent Salmonella dynamics and human health outcomes in the United States

  Geoffrey Kangogo, Lavanya Sankaran, Mitesh Rajpurohit, Kate E. Trout

  11-12-2025

  https://doi.org/10.4081/gh.2025.1416

  784

  PDF: 488

  HTML: 58
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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

  3910

  PDF: 1497

  HTML: 190
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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

  2927

  PDF: 1212

  APPENDIX: 496

  HTML: 1525
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  Using object-based image analysis to map commercial poultry operations from high resolution imagery to support animal health outbreaks and events

  Susan Maroney, MaryJane McCool-Eye, Andrew Fox, Christopher Burdett

  10-12-2020

  https://doi.org/10.4081/gh.2020.919

  2715

  PDF: 921

  HTML: 152

• Contacts between poultry farms, their spatial dimension and their relevance for avian influenza preparedness

  Lena Fiebig, Timo Smieszek, Jennifer Saurina, Jan Hattendorf, Jakob Zinsstag

  79-95

  01-11-2009

  https://doi.org/10.4081/gh.2009.212

  1975

  PDF: 910

• 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

  1959

  PDF: 1198

• 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

  1669

  PDF: 1713

• 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

  2331

  PDF: 1197

• Priority areas for surveillance and prevention of avian influenza during the water-bird migration season in Pakistan

  Tariq Abbas, Hendrik Wilking, Christoph Staubach, Mario Ziller, Franz Josef Conraths

  107-116

  01-11-2011

  https://doi.org/10.4081/gh.2011.162

  2009

  PDF: 1072

• Landscape attributes driving avian influenza virus circulation in the Lake Alaotra region of Madagascar

  Laure Guerrini, Mathilde C. Paul, Lucas Leger, Harentsoaniaina R. Andriamanivo, Olivier F. Maminiaina, Marion Jourdan, Sophie Molia, René Rakotondravao, Véronique Chevalier

  445-453

  01-05-2014

  https://doi.org/10.4081/gh.2014.33

  2759

  PDF: 1174

• Transmissibility of the highly pathogenic avian influenza virus, subtype H5N1 in domestic poultry: a spatio-temporal estimation at the global scale

  Zhijie Zhang, Dongmei Chen, Michael P. Ward, Qingwu Jiang

  135-143

  01-11-2012

  https://doi.org/10.4081/gh.2012.112

  1663

  PDF: 986
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  Spatio-temporal outbreaks of campylobacteriosis and the role of fresh-milk vending machines in the Czech Republic: A methodological study

  Lukáš Marek, Vít Pászto

  08-11-2017

  https://doi.org/10.4081/gh.2017.572

  2811

  PDF: 808

  HTML: 848

• Continent-wide association of H5N1 outbreaks in wild and domestic birds in Europe

  Richard A. J. Williams, Xiang-Ming Xiao, A. Townsend Peterson

  247-253

  01-05-2011

  https://doi.org/10.4081/gh.2011.177

  1649

  PDF: 951

• Spatio-temporal dynamics of global H5N1 outbreaks match bird migration patterns

  Yali Si, Andrew K. Skidmore, Tiejun Wang, Willem F. de Boer, Pravesh Debba, Albert G. Toxopeus, Lin Li, Herbert H.T. Prins

  65-78

  01-11-2009

  https://doi.org/10.4081/gh.2009.211

  5865

  PDF: 1583
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  Diabetes prevalence in the state of Alabama: identifying the risk factors

  Kwaku Karikari Manu, Seth Appiah-Opoku

  31-03-2026

  https://doi.org/10.4081/gh.2026.1465

  323

  PDF: 144

  HTML: 6
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  The food environment and adult obesity in US metropolitan areas

  Akihiko Michimi, Michael C. Wimberly

  26-11-2015

  https://doi.org/10.4081/gh.2015.368

  6248

  PDF: 2861

  HTML: 1227
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  Association of city-level walkability, accessibility to biking and public transportation and socio-economic features with COVID-19 infection in Massachusetts, USA: An ecological study

  Yucheng Wang, Thomas C. Tsai, Dustin T. Duncan, John Ji

  14-01-2022

  https://doi.org/10.4081/gh.2022.1017

  5751

  PDF: 1074

  Appendix: 437

  HTML: 54
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  Vulnerability to COVID-19 in Pernambuco, Brazil: A geospatial evaluation supported by multiple-criteria decision aid methodology

  Ciro José Jardim de Figueiredo, Caroline Maria de Miranda Mota, Amanda Gadelha Ferreira Rosa, Arthur Pimentel Gomes de Souza, Simone Maria da Silva Lima

  14-01-2022

  https://doi.org/10.4081/gh.2022.1000

  2714

  PDF: 562

  HTML: 58