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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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  • The future of spatial epidemiology in the AI era: enhancing machine learning approaches with explicit spatial structure

    Nima Kianfar, Benn Sartorius, Colleen L. Lau, Robert Bergquist, Behzad Kiani
    04-06-2025
    https://doi.org/10.4081/gh.2025.1386
    1265
    PDF: 245
    HTML: 0
  • Spatial and temporal dynamic analysis of rabies: A review of current methodologies

    Shuaicheng Chen
    30-11-2022
    https://doi.org/10.4081/gh.2022.1139
    2222
    PDF: 1377
    HTML: 272
  • Application of geo-spatial technology in schistosomiasis modelling in Africa: a review

    Tawanda Manyangadze, Moses John Chimbari, Michael Gebreslasie, Samson Mukaratirwa
    04-11-2015
    https://doi.org/10.4081/gh.2015.326
    4082
    PDF: 2172
    HTML: 2159
  • Spatiotemporal evolution characteristics and attribution analysis of hepatitis A in mainland China

    Xiaodi Su, Chunxia Qiu, Chunhui Liu
    03-12-2024
    https://doi.org/10.4081/gh.2024.1323
    1070
    PDF: 304
    HTML: 4
  • Intra-urban differences underlying leprosy spatial distribution in central Brazil: geospatial techniques as potential tools for surveillance

    Amanda G. Carvalho, Carolina Lorraine H. Dias, David J. Blok, Eliane Ignotti, João Gabriel G. Luz
    06-10-2023
    https://doi.org/10.4081/gh.2023.1227
    1185
    PDF: 571
    Supplementary Materials: 73
    HTML: 13
  • Spatiotemporal heterogeneity of SARS-CoV-2 diffusion at the city level using geographically weighted Poisson regression model: The case of Bologna, Italy

    Addisu Jember Zeleke, Rossella Miglio, Pierpaolo Palumbo, Paolo Tubertini, Lorenzo Chiari, Bologna MODELS4COVID Study Group of the University of Bologna and the National Institute for Nuclear Physics (INFN)
    01-12-2022
    https://doi.org/10.4081/gh.2022.1145
    1487
    PDF: 861
    Appendix: 99
    HTML: 69
  • Understanding the spatial non-stationarity in the relationships between malaria incidence and environmental risk factors using Geographically Weighted Random Forest: A case study in Rwanda

    Gilbert Nduwayezu, Pengxiang Zhao, Clarisse Kagoyire, Lina Eklund, Jean Pierre Bizimana, Petter Pilesjo, Ali Mansourian
    25-05-2023
    https://doi.org/10.4081/gh.2023.1184
    2373
    PDF: 1320
    HTML: 151
  • Spatial heterogeneity in relationship between district patterns of HIV incidence and covariates in Zimbabwe: a multi-scale geographically weighted regression analysis

    Rutendo Birri Makota, Eustasius Musenge
    27-11-2023
    https://doi.org/10.4081/gh.2023.1207
    1321
    PDF: 638
    HTML: 44
  • Sandwich mapping of schistosomiasis risk in Anhui Province, China

    Yi Hu, Robert Bergquist, Henry Lynn, Fenghua Gao, Qizhi Wang, Shiqing Zhang, Rui Li, Liqian Sun, Congcong Xia, Chenglong Xiong, Zhijie Zhang, Qingwu Jiang
    03-06-2015
    https://doi.org/10.4081/gh.2015.324
    2905
    PDF: 1165
    HTML: 1072
  • Spatiotemporal analysis of the relationship between socioeconomic factors and stroke in the Portuguese mainland population under 65 years old

    André Oliveira, Antònio J.R. Cabral, Jorge M. Mendes, Maria R.O. Martins, Pedro Cabral
    04-11-2015
    https://doi.org/10.4081/gh.2015.365
    3066
    PDF: 1335
    HTML: 1218
  • The effectiveness of the restricted policy on specific venues in Hong Kong: A spatial point pattern view

    Yijia Liu, Wenzhong Shi, Anshu Zhang, Xiaosheng Zhu
    29-11-2022
    https://doi.org/10.4081/gh.2022.1130
    766
    PDF: 662
    HTML: 15
  • Spatio-temporal cluster detection of chickenpox in Valencia, Spain in the period 2008-2012

    Adina Iftimi, Francisco Martínez-Ruiz, Ana Míguez Santiyán, Francisco Montes
    18-05-2015
    https://doi.org/10.4081/gh.2015.341
    2891
    PDF: 1281
    HTML: 1194
  • A spatiotemporal analysis of the social determinants of health for COVID-19

    Claire Bonzani, Peter Scull, Daisaku Yamamoto
    25-05-2023
    https://doi.org/10.4081/gh.2023.1153
    1649
    PDF: 797
    HTML: 21
  • Spatio-temporal analysis of fox rabies cases in Germany 2005-2006

    Matthias Eckardt, Conrad Freuling, Thomas Müller, Thomas Selhorst
    03-06-2015
    https://doi.org/10.4081/gh.2015.313
    2729
    PDF: 1162
    HTML: 1205
  • Advanced analysis of depression tendency in China: an investigation of environmental and social factors based on geographical and temporal weighted regression

    Yanhong Xu, Zhilin Hong, Huimei Lin, Xiaofeng Huang
    21-07-2025
    https://doi.org/10.4081/gh.2025.1385
    358
    PDF: 99
    HTML: 10
  • Is missing geographic positioning system data in accelerometry studies a problem, and is imputation the solution?

    Kristin Meseck, Marta M. Jankowska, Jasper Schipperijn, Loki Natarajan, Suneeta Godbole, Jordan Carlson, Michelle Takemoto, Katie Crist, Jacqueline Kerr
    31-05-2016
    https://doi.org/10.4081/gh.2016.403
    2200
    PDF: 1406
    HTML: 890
  • Correlation analysis of air pollutant index levels and dengue cases across five different zones in Selangor, Malaysia

    Loshini Thiruchelvam, Sarat C. Dass, Rafdzah Zaki, Abqariyah Yahya, Vijanth S. Asirvadam
    07-05-2018
    https://doi.org/10.4081/gh.2018.613
    2068
    PDF: 1168
    HTML: 317
1 - 17 of 17 items

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vhealths

vHealth Section

Geospatial Health
opens the new vHealth section. Discover vHealth

Vol. 20 No. 2 (2025)
Lung cancer associated with natural vegetation cover: spatial analysis in the state of Pará, eastern Brazil
Bruna Rafaela Leite Dias et al.
12 September 2025
Vol. 20 No. 2 (2025)
Factors associated with the spatial distribution of leprosy: a systematic review of the published literature
Nathan Guilherme de Oliveira et al.
18 September 2025
Vol. 20 No. 2 (2025)
Socioeconomic determinants of pandemics: a spatial methodological approach with evidence from COVID-19 in Nice, France
Laurent Bailly et al.
15 September 2025

Keywords

Geospatial Health

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pISSN: 1827-1987
eISSN: 1970-7096

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