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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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  • Physical inactivity displays a mediator role in the association of diabetes and poverty: A spatiotemporal analysis

    Lung-Chang Chien, Xiao Li, Amanda Staudt
    03-11-2017
    https://doi.org/10.4081/gh.2017.528
    3008
    PDF: 1030
    HTML: 806
  • Identifying counties vulnerable to diabetes from obesity prevalence in the United States: a spatiotemporal analysis

    Xiao Li, Amanda Staudt, Lung-Chang Chien
    21-11-2016
    https://doi.org/10.4081/gh.2016.439
    2851
    PDF: 1338
    APPENDIX: 489
    HTML: 1162
  • 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
    663
    PDF: 216
    HTML: 9
  • Impact of walkability with regard to physical activity in the prevention of diabetes

    Carlos Mena, César Sepúlveda, Yony Ormazábal, Eduardo Fuentes, Iván Palomo
    03-11-2017
    https://doi.org/10.4081/gh.2017.595
    3832
    PDF: 1261
    HTML: 1090
  • Associations between time spent in green areas and physical activity among late middle-aged adults

    Bart Dewulf, Tijs Neutens, Delfien Van Dyck, Ilse De Bourdeaudhuij, Steven Broekx, Carolien Beckx, Nico Van de Weghe
    16-11-2016
    https://doi.org/10.4081/gh.2016.411
    3357
    PDF: 1750
    HTML: 898
  • Metropolitan urban hotspots of chronic sleep deprivation: evidence from a community health survey in Gyeongbuk Province, South Korea

    Sun-Bi Um, Jung-Sup Um
    04-11-2015
    https://doi.org/10.4081/gh.2015.382
    3260
    PDF: 1508
    HTML: 1031
  • Oncologic burden in Ukraine: regional inequalities and environmental risk factors

    Anatolii Kornus, Olesia Kornus, Yurii Liannoi, Olena Danylchenko, Serhii Lutsenko
    14-11-2025
    https://doi.org/10.4081/gh.2025.1418
    723
    PDF: 260
    HTML: 14
  • Spatial association of socio-demographic, environmental factors and prevalence of diabetes mellitus in middle-aged and elderly people in Thailand

    Suparat Tappo, Wongsa Laohasiriwong, Nattapong Puttanapong
    29-11-2022
    https://doi.org/10.4081/gh.2022.1091
    2059
    PDF: 1171
    Appendix: 169
    HTML: 221
  • Modelling geographical heterogeneity of diabetes prevalence and socio-economic and built environment determinants in Saudi City - Jeddah

    Abdulkader Murad, Fazlay Faruque, Ammar Naji, Alok Tiwari, Mansour Helmi, Ammar Dahlan
    16-05-2022
    https://doi.org/10.4081/gh.2022.1072
    2233
    PDF: 1068
    HTML: 163
  • Prevalence of hypertension in Thailand: Hotspot clustering detected by spatial analysis

    Wongsa Laohasiriwong, Nattapong Puttanapong, Atthawit Singsalasang
    07-05-2018
    https://doi.org/10.4081/gh.2018.608
    4466
    PDF: 2075
    HTML: 584
  • Healthcare-seeking behavior and spatial variation of internal migrants with chronic diseases: a nationwide empirical study in China

    Dan Li, Dawei Gao, Masaaki Yamada, Chuangbin Chen, Liuchun Xiang, Haisong Nie
    28-05-2024
    https://doi.org/10.4081/gh.2024.1255
    2984
    PDF: 811
    HTML: 107
  • Spatial association of public sports facilities with body mass index in Korea

    Eun Jin Han, Kiyeon Kang, So Young Sohn
    07-05-2018
    https://doi.org/10.4081/gh.2018.542
    2554
    PDF: 1136
    HTML: 114
  • Estimating small area health-related characteristics of populations: a methodological review

    Azizur Rahman
    08-05-2017
    https://doi.org/10.4081/gh.2017.495
    4441
    PDF: 2016
    HTML: 1378
  • Spatial association of socioeconomic and health service factors with antibiotic self-medication in Thailand

    Worrayot Darasawang, Wongsa Laohasiriwong, Kittipong Sornlorm , Warangkana Sungsitthisawad, Roshan Kumar Mahato
    27-01-2025
    https://doi.org/10.4081/gh.2025.1329
    3485
    PDF: 1082
    Supplementary Materials: 585
    HTML: 260
  • Making the most of spatial information in health: a tutorial in Bayesian disease mapping for areal data

    Su Yun Kang, Susanna M. Cramb, Nicole M. White, Stephen J. Ball, Kerrie L. Mengersen
    31-05-2016
    https://doi.org/10.4081/gh.2016.428
    7544
    PDF: 2576
    APPENDIX: 1190
    HTML: 5476
  • 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
    3380
    PDF: 1469
    HTML: 1230
1 - 16 of 16 items

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vhealths

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)
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
Vol. 21 No. 1 (2026)
Prioritizing the tuberculosis burden by the analytic hierarchy process for effective targeted intervention
Madhu Basavegowda et al.
15 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

Keywords

Geospatial Health

is an Open Access, peer-reviewed journal published by PAGEPress®, Pavia, Italy. All credits and honors to PKP for their OJS.

pISSN: 1827-1987
eISSN: 1970-7096

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