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Geospatial Health

eISSN 1970-7096 - pISSN 1827-1987

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Editor-in-Chief: Behzad Kiani

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  • Moran’s I and Geary’s C: investigation of the effects of spatial weight matrices for assessing the distribution of infectious diseases

    Sarah Isnan, Ahmad Fikri bin Abdullah, Abdul Rashid Shariff, Iskandar Ishak, Sharifah Norkhadijah Syed Ismail, Maheshwara Rao Appanan
    07-04-2025
    https://doi.org/10.4081/gh.2025.1277
    2701
    PDF: 960
    Supplementary materials: 241
    HTML: 122
  • Accessibility evaluation of urban basic public service facilities for persons with disabilities: a case study of central Beijing

    Ying Sun, Xiangfeng Li, Zhizhe Sun, Weiyang Jia
    02-02-2026
    https://doi.org/10.4081/gh.2026.1460
    1083
    PDF: 616
    HTML: 67
  • Spatial clusters of human and livestock anthrax define high-risk areas requiring intervention in Lao Cai Province, Vietnam 1991-2022

    Tan Luong, Minh Hieu Tran, Ba Uyen Pham, Morgan C. Metrailer, Van Khang Pham, Hoai Linh Nguyen, Thanh Long Pham, Thi Mai Hung Tran, Quang Thai Pham, Thi Thu Ha Hoang, Jason K. Blackburn
    15-04-2024
    https://doi.org/10.4081/gh.2024.1253
    2545
    PDF: 1047
    Supplementary Materials: 199
    HTML: 68
  • 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
    4541
    PDF: 2387
    HTML: 2225
  • Malignant mesothelioma and asbestos exposure in Europe: Evidence of spatial clustering

    Ewa Wilk, MaÅ‚gorzata KròwczyÅ„ska
    14-05-2021
    https://doi.org/10.4081/gh.2021.951
    4437
    PDF: 1542
    Appendix: 273
    HTML: 692
  • Investigation of landscape risk factors for the recent spread of varroa mite (Varroa destructor) in European honeybee (Apis mellifera) colonies in New South Wales, Australia

    Emily Phaboutdy, Michael Ward
    04-07-2024
    https://doi.org/10.4081/gh.2024.1282
    2627
    PDF: 852
    HTML: 43
  • Spatial analysis for the epidemiological study of cardiovascular diseases: A systematic literature search

    Carlos Mena, Cesar Sepúlveda, Eduardo Fuentes, Yony Ormazábal, Iván Palomo
    07-05-2018
    https://doi.org/10.4081/gh.2018.587
    5664
    PDF: 2822
    HTML: 818
  • Mosquito breeding site water temperature observations and simulations towards improved vector-borne disease models for Africa

    Ernest O. Asare, Adrian M. Tompkins, Leonard K. Amekudzi, Volker Ermert, Robert Redl
    31-03-2016
    https://doi.org/10.4081/gh.2016.391
    3208
    PDF: 1784
    HTML: 4964
  • 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
    943
    PDF: 421
    Supplementary materials: 107
    HTML: 29
  • Assessment of the supply/demand balance of medical resources in Beijing from the perspective of hierarchical diagnosis and treatment

    Yuehan Jiang, Xinyu Cai, Yanhui Wang, Junwu Dong, Mengqin Yang
    13-10-2023
    https://doi.org/10.4081/gh.2023.1228
    2000
    PDF: 1348
    HTML: 208
  • 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
    2567
    PDF: 1246
    HTML: 1045
  • 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
    3792
    PDF: 1615
    Supplementary Materials: 222
    HTML: 144
  • Effects of geographical factors on reference values of the thyroid stimulating hormone in healthy adults in China and its clinical significance

    Xinrui Pang, Miao Ge, Congxia Wang, Jinwei He
    06-05-2022
    https://doi.org/10.4081/gh.2022.1030
    1365
    PDF: 719
    HTML: 321
  • Spatial and temporal clustering analysis of pulmonary tuberculosis and its associated risk factors in southwest China

    Jianjiao Wang, Xiaoning Liu, Zhengchao Jing, Jiawai Yang
    25-05-2023
    https://doi.org/10.4081/gh.2023.1169
    1319
    PDF: 985
    HTML: 41
  • 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
    3072
    PDF: 1286
    APPENDIX: 532
    HTML: 1531
  • Migration statistics relevant for malaria transmission in Senegal derived from mobile phone data and used in an agent-based migration model

    Adrian M. Tompkins, Nicky McCreesh
    31-03-2016
    https://doi.org/10.4081/gh.2016.408
    3766
    PDF: 1621
    HTML: 1009
  • 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
    1693
    PDF: 781
    Supplementary Materials: 149
    HTML: 26
  • Spatial association between COVID-19 incidence rate and nighttime light index

    Amornrat Luenam, Nattapong Puttanapong
    18-03-2022
    https://doi.org/10.4081/gh.2022.1066
    2484
    PDF: 772
    HTML: 102
  • Socio-economic and environmental factors are related to acute exacerbation of chronic obstructive pulmonary disease incidence in Thailand

    Phuricha Phacharathonphakul, Kittipong Sornlorm
    29-11-2024
    https://doi.org/10.4081/gh.2024.1300
    2300
    PDF: 771
    HTML: 139
  • Spatial clustering of people with memories and responses six years after an earthquake in Cauquenes, Chile

    Marcelo Leiva-Bianchi, Carlos Mena, Yony Ormazábal, Carlos Serrano
    06-11-2019
    https://doi.org/10.4081/gh.2019.789
    1775
    PDF: 1026
    HTML: 33
  • 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
    2917
    PDF: 872
    HTML: 852
  • Leptospirosis and its spatial and temporal relations with natural disasters in six municipalities of Santa Catarina, Brazil, from 2000 to 2016

    Ana Elisa Pereira Silva, Francisco Chiaravalloti Neto, Gleice Margarete de Souza Conceição
    26-11-2020
    https://doi.org/10.4081/gh.2020.903
    3023
    PDF: 1256
    HTML: 77
  • Nonlinear analysis of factors influencing public health in China based on machine learning

    Dehong Sun, Hui Wang
    16-03-2026
    https://doi.org/10.4081/gh.2026.1450
    412
    PDF: 317
    HTML: 12
  • To what extent does climate explain variations in reported malaria cases in early 20th century Uganda?

    Adrian M. Tompkins, Laragh Larsen, Nicky McCreesh, David Taylor
    31-03-2016
    https://doi.org/10.4081/gh.2016.407
    4935
    PDF: 1386
    Appendix: 605
    HTML: 1234
  • Use of geocoding techniques for epidemiological surveillance in the Federal District, Brazil: a case study using dengue

    Lucas Sanglard, Klauss K. S. Garcia, Walter Massa Ramalho
    02-09-2025
    https://doi.org/10.4081/gh.2025.1403
    1077
    PDF: 377
    HTML: 71
  • A spatio-temporal study of state-wide case-fatality risks during the first wave of the COVID-19 pandemic in Mexico

    Ricardo Ramìrez-Aldana , Juan Carlos Gomez-Verjan, Omar Yaxmehen Bello-Chavolla , Lizbeth Naranjo
    24-03-2022
    https://doi.org/10.4081/gh.2022.1054
    1732
    PDF: 553
    Appendix: 281
    HTML: 49
  • 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
    1061
    PDF: 375
    Supplementary Materials: 167
    HTML: 32
  • Application of geospatial information systems (GIS) for assessment of the distribution of periodontal disease in Makassar City, South Sulawesi Province, Indonesia

    Fuad Husain Akbar, Nur Amaliyah Riyadh
    07-11-2023
    https://doi.org/10.4081/gh.2023.1240
    1878
    PDF: 833
    HTML: 27
  • COVID-19: Past, present and future

    Robert Bergquist
    09-09-2022
    https://doi.org/10.4081/gh.2022.1147
    1105
    PDF: 613
    HTML: 115
  • A concise, straightforward presentation can be worth more than a thousand words

    Robert Bergquist
    03-11-2017
    https://doi.org/10.4081/gh.2017.637
    2759
    PDF: 865
    HTML: 670
  • Predicting frequency distribution and influence of sociodemographic and behavioral risk factors of Schistosoma mansoni infection and analysis of co-infection with intestinal parasites

    Carla V.V. Rollemberg, Marília M.B.L. Silva, Karla C. Rollemberg, Fábio R. Amorim, Nayanna M.N. Lessa, Marcos D.S. Santos, Acácia M.B. Souza, Enaldo V. Melo, Roque P. Almeida, Ângela M. Silva, Guilherme L. Werneck, Mario A. Santos, José A.P. Almeida, Amélia R. Jesus
    18-05-2015
    https://doi.org/10.4081/gh.2015.303
    5058
    PDF: 2084
    HTML: 1098
  • Impact of climate change on dengue fever: a bibliometric analysis

    Mai Liu, Yin Zhang
    19-02-2025
    https://doi.org/10.4081/gh.2025.1301
    2923
    PDF: 1014
    Supplementary Materials: 395
    HTML: 144
  • Future malaria spatial pattern based on the potential global warming impact in South and Southeast Asia

    Hassan M. Khormi, Lalit Kumar
    21-11-2016
    https://doi.org/10.4081/gh.2016.416
    5621
    PDF: 2744
    HTML: 2002
  • Assessment of malaria transmission changes in Africa, due to the climate impact of land use change using Coupled Model Intercomparison Project Phase 5 earth system models

    Adrian M. Tompkins, Luca Caporaso
    31-03-2016
    https://doi.org/10.4081/gh.2016.380
    4403
    PDF: 1991
    HTML: 1286
  • 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
    1574
    PDF: 673
    HTML: 114
  • 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
    2922
    PDF: 844
    HTML: 54
  • A Bayesian spatial ecological analysis of social conditions, infection burden and COVID-19 mortality across mainland Scottish councils 2020-2021

    Zhiyuan Luo, Yancheng Liu, Wenqi Xu
    10-06-2026
    https://doi.org/10.4081/gh.2026.1477
    349
    PDF: 199
    Supplementary Materials: 44
    HTML: 6
  • 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
    1232
    PDF: 559
    HTML: 108
  • Spatial and statistical analysis of leptospirosis in Thailand from 2013 to 2015

    Amornrat Luenam, Nattapong Puttanapong
    14-05-2019
    https://doi.org/10.4081/gh.2019.739
    3020
    PDF: 1836
    HTML: 260
  • A preliminary spatial-temporal study of some soil characteristics in the calcareous massif of Sicó, Portugal

    Maria Odete Torres, Maria Manuela Neves
    18-04-2016
    https://doi.org/10.4081/gh.2016.342
    2002
    PDF: 1046
    HTML: 935
    Fig. 1: 409
    Fig. 2: 342
    Fig. 3: 341
    Fig. 4: 336
    Fig. 5: 363
    Short Communication: 383
  • A spatial lag model analysis of lung cancer incidence and satellite-derived data on air pollution in Thailand from 2020 to 2023

    Wasana Silangam, Amornrat Luenam
    14-11-2025
    https://doi.org/10.4081/gh.2025.1424
    884
    PDF: 432
    HTML: 11
  • The impact of COVID-19 on healthcare coverage and access in racial and ethnic minority populations in the United States

    Lauren Freelander, David S. Rickless, Corey Anderson, Frank Curriero, Sarah Rockhill, Amir Mirsajedin, Caleb J. Colón, Jasmine Lusane, Alexander Vigo-Valentín, David Wong
    27-12-2023
    https://doi.org/10.4081/gh.2023.1222
    4003
    PDF: 1228
    HTML: 92
  • Spatial clustering of colorectal cancer in Malaysia

    Sharifah Saffinas Syed Soffian, Azmawati Mohammed Nawi, Rozita Hod, Khairul Nizam Abdul Maulud, Ahmad Tarmizi Mohd Azmi, Mohd Hazrin Hasim Hashim, Huan-Keat Chan, Muhammad Radzi Abu Hassan
    25-05-2023
    https://doi.org/10.4081/gh.2023.1158
    1915
    PDF: 889
    HTML: 25
  • Mapping the risk for transmission of urban schistosomiasis in the Brazilian Northeast

    Emília Carolle Azevedo de Oliveira, Iris Edna Pereira da Silva, Ricardo José Ferreira, Ricardo José de Paula Souza e Guimarães, Elainne Christine de Souza Gomes, Constança Simões Barbosa
    29-12-2020
    https://doi.org/10.4081/gh.2020.861
    2822
    PDF: 1125
    HTML: 75
  • Assessing spatial inequalities in accessing community pharmacies: a mixed geographically weighted approach

    Alexander Domnich, Lucia Arata, Daniela Amicizia, Alessio Signori, Roberto Gasparini, Donatella Panatto
    16-11-2016
    https://doi.org/10.4081/gh.2016.457
    3615
    PDF: 1933
    HTML: 1338
  • Geospatial assessment of primary healthcare centres in Jeddah, Saudi Arabia

    Abdulkader A. Murad, Mohaimin Azmain
    26-02-2026
    https://doi.org/10.4081/gh.2026.1463
    832
    PDF: 436
    HTML: 15
  • Use of an ecologically relevant modelling approach to improve remote sensing-based schistosomiasis risk profiling

    Yvonne Walz, Martin Wegmann, Benjamin Leutner, Stefan Dech, Penelope Vounatsou, Eliézer K. N'Goran, Giovanna Raso, Jürg Utzinger
    30-11-2015
    https://doi.org/10.4081/gh.2015.398
    4599
    PDF: 1343
    HTML: 1220
  • 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
    3438
    PDF: 731
    HTML: 123
  • Bayesian spatial Durbin modelling of stunting prevalence across Indonesian districts

    Ferra Yanuar, Yudiantri Asdi, Sandi Sandi, Aidinil Zetra, Fenni Kurnia Mutiya, Ade Suzana Eka Putri
    25-05-2026
    https://doi.org/10.4081/gh.2026.1441
    467
    PDF: 204
    HTML: 11
  • 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
    1901
    PDF: 1032
    Appendix: 166
    HTML: 85
  • Pleural mesothelioma in Poland: Spatial analysis of malignant mesothelioma prevalence in the period 1999-2013

    MaÅ‚gorzata KròwczyÅ„ska, Ewa Wilk, Piotr Pabjanek, Gabriela OlÄ™dzka
    09-11-2018
    https://doi.org/10.4081/gh.2018.667
    1734
    PDF: 1037
    HTML: 115
  • Modelling homogeneous regions of social vulnerability to malaria in Rwanda

    Jean Pierre Bizimana, Stefan Kienberger, Michael Hagenlocher, Emmanuel Twarabamenye
    31-03-2016
    https://doi.org/10.4081/gh.2016.404
    3994
    PDF: 1973
    HTML: 2264
101 - 152 of 152 items << < 1 2 

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vhealths

vHealth Section

Geospatial Health
opens the new vHealth section. Discover vHealth

Vol. 21 No. 2 (2026)
Bayesian hierarchical spatial models for disease mapping in the presence of missing covariates
Sami Ullah et al.
20 August 2026

Keywords

Geospatial Health

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pISSN: 1827-1987
eISSN: 1970-7096

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