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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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  • Spatial epidemiology and meteorological risk factors of COVID-19 in Fars Province, Iran

    Marjan Zare, Ali Semati, Alireza Mirahmadizadeh, Abdulrasool Hemmati, Mostafa Ebrahimi
    08-06-2022
    https://doi.org/10.4081/gh.2022.1065
    785
    PDF: 368
    HTML: 19
  • 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
    1248
    PDF: 386
    HTML: 32
  • Climate change and species distribution: possible scenarios for thermophilic ticks in Romania

    Cristian DomÈ™a, Attila D. Sándor, Andrei D. Mihalca
    31-05-2016
    https://doi.org/10.4081/gh.2016.421
    2758
    PDF: 1274
    HTML: 1673
  • Interpreting predictive maps of disease: highlighting the pitfalls of distribution models in epidemiology

    Nicola A. Wardrop, Matthew Geary, Patrick E. Osborne, Peter M. Atkinson
    237-246
    01-11-2014
    https://doi.org/10.4081/gh.2014.397
    2129
    PDF: 958
  • Coarse-scale spatial and ecological analysis of tuberculosis in cattle: an investigation in Jalisco, Mexico

    Horacio Zendejas-Martínez, A. Townsend Peterson, Feliciano Milián-Suazo
    29-38
    01-11-2008
    https://doi.org/10.4081/gh.2008.229
    1199
    PDF: 698
  • Spatio-temporal evaluation of cattle trade in Sweden: description of a grid network visualization technique

    Stefan Widgren, Jenny Frössling
    119-130
    01-11-2010
    https://doi.org/10.4081/gh.2010.192
    1323
    PDF: 1033
  • Use of geographical information systems for delimiting health service areas in China

    Xuechen Xiong, Li Luo
    11-05-2017
    https://doi.org/10.4081/gh.2017.486
    2128
    PDF: 1031
    HTML: 1009
  • Understanding the relationship between land use and land cover and malaria in Nepal

    Shreejana Bhattarai, Korine N. Kolivras, Kabita Ghimire, Yang Shao
    29-12-2020
    https://doi.org/10.4081/gh.2020.855
    1797
    PDF: 814
    HTML: 29
  • The dog and cat population on Maio Island, Cape Verde: characterisation and prediction based on household survey and remotely sensed imagery

    Ana Carolina Lopes Antunes, Els Ducheyne, Ward Bryssinckx, Sara Vieira, Manuel Malta, Yolanda Vaz, Telmo Nunes, Koen Mintiens
    04-11-2015
    https://doi.org/10.4081/gh.2015.386
    2970
    PDF: 1019
    HTML: 1207
  • Use of soil moisture active passive satellite data and WorldClim 2.0 data to predict the potential distribution of visceral leishmaniasis and its vector Lutzomyia longipalpis in Sao Paulo and Bahia states, Brazil

    Moara de Santana Martins Rodgers, Elivelton Fonseca, Prixia del Mar Nieto, John B. Malone, Jeffery C. Luvall, Jennifer C. McCarroll, Ryan Harry Avery, Maria Emilia Bavia, Raul Guimaraes, Xue Wen, Marta Mariana Nascimento Silva, Deborah D.M.T. Carneiro, Luciana Lobato Cardim
    08-06-2022
    https://doi.org/10.4081/gh.2022.1095
    1358
    PDF: 801
    HTML: 49
  • Modeling freshwater snail habitat suitability and areas of potential snail-borne disease transmission in Uganda

    A.S. Stensgaard, A. Jørgensen, N.B. Kabatereine, C. Rahbek, T.K. Kristensen
    93-104
    01-11-2006
    https://doi.org/10.4081/gh.2006.284
    2860
    PDF: 1513
  • 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
    1714
    PDF: 1063
  • Vector-borne diseases in a warmer world: Will they stay or will they go?

    Robert Bergquist, Anna-Sofie Stensgaard, Laura Rinaldi
    07-05-2018
    https://doi.org/10.4081/gh.2018.699
    2543
    PDF: 1161
    HTML: 211
  • Prediction of dengue cases using the attention-based long short-term memory (LSTM) approach

    Mokhalad A. Majeed, Helmi Z. M. Shafri, Aimrun Wayayok, Zed Zulkafli
    25-05-2023
    https://doi.org/10.4081/gh.2023.1176
    1788
    PDF: 884
    Supplementary Materials: 125
    HTML: 40
  • Estimating the global abundance of ground level presence of particulate matter (PM2.5)

    David J. Lary, Fazlay S. Faruque, Nabin Malakar, Alex Moore, Bryan Roscoe, Zachary L. Adams, York Eggelston
    S611-S630
    01-12-2014
    https://doi.org/10.4081/gh.2014.292
    5561
    PDF: 2316
  • Development of a web-geographical information system application for plotting tuberculosis cases

    Nur Adibah Mohidem, Malina Osman, Farrah Melissa Muharam, Saliza Mohd Elias, Rafiza Shaharudin, Zailina Hashim
    19-10-2021
    https://doi.org/10.4081/gh.2021.980
    1600
    PDF: 816
    HTML: 159
101 - 116 of 116 items << < 1 2 

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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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