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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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  • Associations between seasonal influenza and meteorological parameters in Costa Rica, Honduras and Nicaragua

    Radina P. Soebiyanto, Wilfrido A. Clara, Jorge Jara, Angel Balmaseda, Jenny Lara, Mariel Lopez Moya, Rakhee Palekar, Marc-Alain Widdowson, Eduardo Azziz-Baumgartner, Richard K. Kiang
    04-11-2015
    https://doi.org/10.4081/gh.2015.372
    4656
    PDF: 1559
    HTML: 1172
  • Evaluation and control strategy analysis of influenza cases in Jiujiang City, Jiangxi Province, China from 2018 to 2022

    Zhang Zeng, Huomei Xiong
    09-10-2024
    https://doi.org/10.4081/gh.2024.1294
    1112
    PDF: 471
    HTML: 101
  • 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
    2974
    PDF: 1227
    APPENDIX: 510
    HTML: 1527
  • Space-time epidemiology and effect of meteorological parameters on influenza-like illness in Phitsanulok, a northern province in Thailand

    Prakash Madhav Nimbalkar, Nitin Kumar Tripathi
    21-11-2016
    https://doi.org/10.4081/gh.2016.447
    2454
    PDF: 1404
    HTML: 1156
  • 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
    2828
    PDF: 1195
  • 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
    2757
    PDF: 590
    HTML: 59
  • 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
    4011
    PDF: 1541
    HTML: 197
  • Impact of the COVID-19 pandemic on the number of births in Pernambuco Brazil

    Heitor Victor Veiga da Costa, Cristine Vieira do Bonfim, Wilson Fusco, Morvan de Melo Moreira, Fernando Maciano de Paula Neto
    15-06-2022
    https://doi.org/10.4081/gh.2022.1069
    1305
    PDF: 600
    HTML: 58
  • Global Mpox spread due to increased air travel

    Huijie Qiao, Paanwaris Paansri, Luis E. Escobar
    11-06-2024
    https://doi.org/10.4081/gh.2024.1261
    2502
    PDF: 834
    HTML: 259
  • Geospatial analysis in the United States reveals the changing roles of temperature on COVID-19 transmission

    Ruiwen Xiong, Xiaolong Li
    20-07-2023
    https://doi.org/10.4081/gh.2023.1213
    1497
    PDF: 813
    HTML: 31
  • COVID-19 vaccine prioritization based on district classification in Yogyakarta Province, Indonesia

    Syifa Hanifa, Diana Puspitasari, Cahyadi Ramadhan, Karina Oriza Herastuti
    14-01-2022
    https://doi.org/10.4081/gh.2022.1010
    2837
    PDF: 764
    HTML: 51
  • 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
    2389
    PDF: 1216
  • Ecological factors associated with pandemic influenza A (H1N1) hospitalization rates in California, USA: a geospatial analysis

    Paul J. Maliszewski, Ran Wei
    95-105
    01-11-2011
    https://doi.org/10.4081/gh.2011.161
    1983
    PDF: 1174
  • 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
    2056
    PDF: 1092
  • COVID-19: Past, present and future

    Robert Bergquist
    09-09-2022
    https://doi.org/10.4081/gh.2022.1147
    1058
    PDF: 557
    HTML: 113
  • 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
    5973
    PDF: 1613
  • 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
    1692
    PDF: 1004
  • Spatial comparison of London’s three waves of Spanish flu

    Walter Peterson
    19-10-2023
    https://doi.org/10.4081/gh.2023.1235
    1549
    PDF: 723
    HTML: 611
  • Disparities in COVID-19 health outcomes among different sub-immigrant groups in the US - a study based on the spatial Durbin model

    Jihoon Jung, Yoonjung Ahn, Joseph Bommarito
    18-03-2022
    https://doi.org/10.4081/gh.2022.1064
    1802
    PDF: 475
    Appendix: 329
    HTML: 15
  • Socioeconomic determinants of pandemics: a spatial methodological approach with evidence from COVID-19 in Nice, France

    Laurent Bailly, Rania Belgaied, Thomas Jobert, Benjamin Montmartin
    15-09-2025
    https://doi.org/10.4081/gh.2025.1383
    833
    PDF: 345
    Supplementary materials: 85
    HTML: 26
  • 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
    2020
    PDF: 1225
  • 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
    1718
    PDF: 1738
  • Spatial correlates of COVID-19 first wave across continental Portugal

    Bruno Barbosa, Melissa Silva, César Capinha, Ricardo A.C. Garcia, Jorge Rocha
    23-06-2022
    https://doi.org/10.4081/gh.2022.1073
    1738
    PDF: 604
    HTML: 52
  • Post-pandemic COVID-19 estimated and forecasted hotspots in the Association of Southeast Asian Nations (ASEAN) countries in connection to vaccination rate

    I Gede Nyoman Mindra Jaya, Yudhie Andriyana, Bertho Tantular
    22-03-2022
    https://doi.org/10.4081/gh.2022.1070
    1608
    PDF: 583
    HTML: 41
  • Urban gentrification and infectious diseases: an interdisciplinary narrative review

    Behzad Kiani, Gabriel Parker, Senobar Naderian, Colleen L. Lau, Benn Sartorius
    07-07-2025
    https://doi.org/10.4081/gh.2025.1388
    1438
    PDF: 601
    HTML: 97
  • Spatial association between the incidence rate of COVID-19 and poverty in the São Paulo municipality, Brazil

    Marcos César Ferreira
    26-11-2020
    https://doi.org/10.4081/gh.2020.921
    7520
    PDF: 1501
    Appendix: 188
    HTML: 34
  • A conceptional model integrating geographic information systems (GIS) and social media data for disease exposure assessment

    Jerry Enoe , Michael Sutherland, Dexter Davis, Bheshem Ramlal, Charisse Griffith-Charles , Keston H. Bhola, Elsai Mati Asefa
    28-03-2024
    https://doi.org/10.4081/gh.2024.1264
    3097
    PDF: 915
    HTML: 107
  • Global spreading of Omicron variant of COVID-19

    Pengxin Zhang, Shuhan Yang, Shaoqing Dai, Darren How Jin Aik, Shujuan Yang, Peng Jia
    13-07-2022
    https://doi.org/10.4081/gh.2022.1083
    2091
    PDF: 889
    HTML: 55
  • Geospatial modelling to estimate the territory at risk of establishment of influenza type A in Mexico - An ecological study

    Enrique Ibarra-Zapata, Darío Gaytán-Hernández, Verònica Gallegos-García, Claudia Elena González-Acevedo, Thuluz Meza-Menchaca, María Judith Rios-Lugo, Héctor Hernández-Mendoza
    14-05-2021
    https://doi.org/10.4081/gh.2021.956
    2178
    PDF: 681
    HTML: 37
  • Habitat suitability map of Ixodes ricinus tick in France using multi-criteria analysis

    Isabelle Lebert, Séverine Bord, Christine Saint-Andrieux, Eva Cassar, Patrick Gasqui, Frédéric Beugnet, Karine Chalvet-Monfray, Sophie O. Vanwambeke, Gwenaël Vourc’h, Magalie René-Martellet
    17-05-2022
    https://doi.org/10.4081/gh.2022.1058
    7192
    PDF: 2587
    Appendix: 401
    HTML: 372
  • First year with COVID-19: Assessment and prospects

    Robert Bergquist, Behzad Kiani, Samuel Manda
    26-11-2020
    https://doi.org/10.4081/gh.2020.953
    3104
    PDF: 805
    HTML: 28
  • Understanding needs and barriers to using geospatial tools for public health policymaking in China

    Dohyeong Kim, Yingyuan Zhang, Chang Kil Lee
    07-05-2018
    https://doi.org/10.4081/gh.2018.594
    2015
    PDF: 985
    HTML: 355
  • Optimizing vaccination sites for infectious diseases based on heterogeneous travel modes in multiple scenarios

    Wentao Yang, Fengjie Wang, Yihan You, Zhixiong Fang, Xing Wang, Xiaoming Mei
    24-03-2025
    https://doi.org/10.4081/gh.2025.1362
    1949
    PDF: 447
    HTML: 105
  • Flexible scan statistic with a restricted likelihood ratio for optimized COVID-19 surveillance

    Ernest Akyereko, Frank B. Osei, Kofi M. Nyarko, Alfred Stein
    26-11-2024
    https://doi.org/10.4081/gh.2024.1265
    965
    PDF: 311
    Supplementary Materials: 144
    HTML: 29
  • Modelling the presence of disease under spatial misalignment using Bayesian latent Gaussian models

    Xavier Barber, David Conesa, Silvia Lladosa, Antonio Lòpez-Quílez
    18-04-2016
    https://doi.org/10.4081/gh.2016.415
    3757
    PDF: 1922
    HTML: 2261
  • Exploring geomasking methods for geoprivacy: a pilot study in an environment with built features

    Alok Tiwari, Sohail Ahmad, Emad Qurunflah, Mansour Helmi, Ayad Almaimani, Alaa Alaidroos, Majed Mustafa Hallawani
    17-10-2023
    https://doi.org/10.4081/gh.2023.1205
    1396
    PDF: 689
    HTML: 351
  • Spatial variations of COVID-19 risk by age in Toronto, Canada

    Nushrat Nazia
    20-07-2022
    https://doi.org/10.4081/gh.2022.1100
    1208
    PDF: 523
    Appendix: 197
    HTML: 142
  • Revealing spatio-temporal patterns of rabies spread among various categories of animals in the Republic of Kazakhstan, 2010-2013

    Sarsenbay K. Abdrakhmanov, Kanatzhan K. Beisembayev, Fedor I. Кorennoy, Gulzhan N. Yessembekova, Dosym B. Кushubaev, Ablaikhan S. Кadyrov
    31-05-2016
    https://doi.org/10.4081/gh.2016.455
    2490
    PDF: 1297
    HTML: 1294
  • Association of socioeconomic indicators with COVID-19 mortality in Brazil: a population-based ecological study

    João Batista Cavalcante Filho, Marco Aurélio de Oliveira Góes, Damião da Conceição Araújo, Marcus Valerius da Silva Peixoto, Marco Antônio Prado Nunes
    13-07-2023
    https://doi.org/10.4081/gh.2023.1206
    2003
    PDF: 865
    Supplementary Materials: 142
    HTML: 38
  • Human infections and co-infections with helminths in a rural population in Guichi, Anhui Province, China

    Yi Hu, Rui Li, Michael P. Ward, Yue Chen, Henry Lynn, Decheng Wang, Gengxin Chen, Zonggui He, Liqian Sun, Chenglong Xiong, Zhijie Zhang, Qingwu Jiang
    04-11-2015
    https://doi.org/10.4081/gh.2015.374
    2507
    PDF: 1313
    HTML: 982
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vHealth Section

Geospatial Health
opens the new vHealth section. Discover vHealth

Vol. 21 No. 1 (2026)
Collective efficacy and community readiness for dementia prevention: a spatial spillover analysis
Duan-Rung Chen et al.
8 June 2026
Vol. 21 No. 1 (2026)
Evaluation of household knowledge, attitudes and practices concerning malaria in the city of Djibouti
Osman Abdillahi Guedi et al.
16 June 2026
Vol. 21 No. 1 (2026)
A Bayesian spatial ecological analysis of social conditions, infection burden and COVID-19 mortality across mainland Scottish councils 2020-2021
Zhiyuan Luo et al.
10 June 2026

Keywords

Geospatial Health

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pISSN: 1827-1987
eISSN: 1970-7096

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