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Geospatial Health

eISSN 1970-7096 - pISSN 1827-1987

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Editor-in-Chief: Robert Bergquist

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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
    3269
    PDF: 1079
    HTML: 129
  • 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
    2555
    PDF: 989
    APPENDIX: 411
    HTML: 1509
  • 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
    2295
    PDF: 717
    HTML: 92
  • 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
    1696
    PDF: 754
  • 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
    1679
    PDF: 1000
  • 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
    1445
    PDF: 1418
  • 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
    1874
    PDF: 978
  • 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
    1756
    PDF: 873
  • 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
    2420
    PDF: 985
  • 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
    1352
    PDF: 800
  • 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
    2493
    PDF: 648
    HTML: 830
  • 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
    1399
    PDF: 721
  • 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
    5269
    PDF: 1288
  • 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
    2303
    PDF: 354
    HTML: 43
  • 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
    5724
    PDF: 2516
    HTML: 1203
  • 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
    5265
    PDF: 726
    Appendix: 306
    HTML: 37
1 - 16 of 16 items

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vhealths

vHealth Section

Geospatial Health
opens the new vHealth section. Discover vHealth

Vol. 20 No. 1 (2025)
Dengue risk-mapping in an Amazonian locality in Colombia based on regression and multi-criteria analysis
Maria Camila Lesmes et al.
4 June 2025
Vol. 20 No. 1 (2025)
The future of spatial epidemiology in the AI era: enhancing machine learning approaches with explicit spatial structure
Nima Kianfar et al.
4 June 2025
Vol. 20 No. 1 (2025)
Typhoid fever in Jakarta, Indonesia 2017-2023: spatial clustering and seasonality of hospitalization data to inform better intervention
Mujiyanto Mujiyanto et al.
15 May 2025
Vol. 20 No. 1 (2025)
Spatial autocorrelation pattern of COVID-19 vaccine coverage in Thailand 2021 and 2022
Sarayu Muntaphan et al.
13 May 2025
Vol. 20 No. 1 (2025)
Spatial multilevel modelling male partners’ influence on women’s modern contraceptive use: a study in Angola and Zambia
Kabeya Clement Mulamba
12 May 2025
Vol. 20 No. 1 (2025)
Risk discrepancies in COVID-19-related community environments based on spatiotemporal monitoring
Jihong Zhang et al.
28 April 2025

Keywords

Geospatial Health

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pISSN: 1827-1987
eISSN: 1970-7096

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