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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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  • 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
    3407
    PDF: 1519
    HTML: 1231
  • Geographical accessibility to healthcare by point-of–interest data from online maps: a comparative study

    Heng-Qian Huang-fu, Nan Zhang, Li Wang, Hui-Juan Liang, Ben-Song Xian, Xiao-Fang Gan, Yingsi Lai
    20-12-2024
    https://doi.org/10.4081/gh.2024.1322
    2075
    PDF: 650
    Supplementary Materials: 187
    HTML: 39
  • Spatiotemporal analysis of hand, foot and mouth disease data using time-lag geographically-weighted regression

    Zhi-Min Hong, Hu-Hu Wang, Yan-Juan Wang, Wen-Rui Wang
    29-12-2020
    https://doi.org/10.4081/gh.2020.849
    2148
    PDF: 1000
    HTML: 42
  • Geographically weighted regression for modelling the accessibility to the public hospital network in Concepción Metropolitan Area, Chile

    Marcela Martínez Bascuñán, Carolina Rojas Quezada
    22-11-2016
    https://doi.org/10.4081/gh.2016.451
    4084
    PDF: 1967
    HTML: 2214
  • 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
    1898
    PDF: 1024
    Appendix: 164
    HTML: 85
  • 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
    3778
    PDF: 1607
    Supplementary Materials: 222
    HTML: 140
  • 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
    934
    PDF: 418
    Supplementary materials: 107
    HTML: 29
  • Neonatal mortality in East Africa and West Africa: a geographic analysis of district-level demographic and health survey data

    Sue C. Grady, April N. Frake, Qiong Zhang, Matlhogonolo Bene, Demetrice R. Jordan, Joshua Vertalka, Thania C. Dossantos, Ameen Kadhim, Judith Namanya, Lisa-Marie Pierre, Yi Fan, Peiling Zhou, Fatoumata B. Barry, Libbey Kutch
    26-05-2017
    https://doi.org/10.4081/gh.2017.501
    11055
    PDF: 4599
    HTML: 2246
  • 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
    2311
    PDF: 1145
    HTML: 167
  • Spatial accessibility to emergency care in Sichuan province in China

    Xuefeng Tang, Yufan Deng, Huazhen Yang, Fan Tian, Youping Li, Jay Pan
    29-12-2020
    https://doi.org/10.4081/gh.2020.891
    2574
    PDF: 1010
    HTML: 67
  • Spatial epidemiology of cancer: a review of data sources, methods and risk factors

    Rita Roquette, Marco Painho, Baltazar Nunes
    08-05-2017
    https://doi.org/10.4081/gh.2017.504
    8669
    PDF: 3640
    HTML: 2719
  • 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
    1798
    PDF: 906
    HTML: 91
  • Spatial analysis and modelling of depression relative to social vulnerability index across the United States

    Kiara M. Rivera, Abolfazl Mollalo
    01-09-2022
    https://doi.org/10.4081/gh.2022.1132
    5483
    PDF: 2507
    HTML: 618
  • 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
    3544
    PDF: 1852
    HTML: 221
  • Spatial analysis of the regional variation of hypertensive disease mortality and its socio-economic correlates in South Korea

    Seong-Yong Park, Jin-Mi Kwak, Eun-Won Seo, Kwang-Soo Lee
    31-05-2016
    https://doi.org/10.4081/gh.2016.420
    3181
    PDF: 1852
    HTML: 1385
  • Reduction of latency in geospatial analysis of air quality: a classical modelling approach inspired by quantum principles

    Hooshang Eivazy
    01-07-2026
    https://doi.org/10.4081/gh.2026.1409
    197
    PDF: 77
    Supplementary Materials: 32
    HTML: 3
  • 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
    3606
    PDF: 1926
    HTML: 1338
  • Spatial heterogeneity of quality, use and spending on medicare for the elderly

    Felipa de Mello-Sampayo
    07-05-2018
    https://doi.org/10.4081/gh.2018.655
    2212
    PDF: 981
    HTML: 118
  • Spatial analysis of the relationship between out-of-pocket expenditure and socioeconomic status in South Korea

    Young-Gyu Kwon, Man-Kyu Choi
    25-05-2023
    https://doi.org/10.4081/gh.2023.1175
    1659
    PDF: 892
    HTML: 62
  • Associating socio-economic factors with access to public healthcare facilities using geographically weighted regression in the city of Tshwane, South Africa

    Thabiso Moeti, Tholang Mokhele, Solomon Tesfamichael
    20-11-2024
    https://doi.org/10.4081/gh.2024.1288
    4146
    PDF: 793
    HTML: 102
  • 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
    1108
    PDF: 379
    HTML: 39
  • The spatiotemporal dynamics and structural covariates of homicide in the Republic of Korea, 2008-2017: A dynamic spatial panel data approach

    Yunho Yeom, Jaehun Choi
    09-05-2022
    https://doi.org/10.4081/gh.2022.1040
    1286
    PDF: 800
    HTML: 44
  • 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
    1467
    PDF: 550
    HTML: 44
  • Land surface temperature predicts mortality due to chronic obstructive pulmonary disease: a study based on climate variables and impact machine learning

    Alireza Mohammadi, Bardia Mashhoodi, Ali Shamsoddini, Elahe Pishgar, Robert Bergquist
    26-03-2025
    https://doi.org/10.4081/gh.2025.1319
    2592
    PDF: 1039
    HTML: 138
  • Factors associated with the spatial distribution of leprosy: a systematic review of the published literature

    Nathan Guilherme de Oliveira, Bruna Eduarda Bortolomai, Andréa Cristina Bogado, Ida Maria Foschiani Dias-Baptista
    18-09-2025
    https://doi.org/10.4081/gh.2025.1394
    1134
    PDF: 522
    Supplementary materials: 104
    HTML: 22
  • 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
    2272
    PDF: 1022
    HTML: 50
  • 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
    1552
    PDF: 875
    HTML: 32
  • 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
    5658
    PDF: 2820
    HTML: 816
  • Dengue risk-mapping in an Amazonian locality in Colombia based on regression and multi-criteria analysis

    Maria Camila Lesmes , Alvaro Ávila-Díaz, Erika Santamaría, Carlos Andrés Morales , Horacio Cadena, Patricia Fuya, Nicolas Frutos, Ximena Porcasi, Catalina Marceló-Díaz
    04-06-2025
    https://doi.org/10.4081/gh.2025.1292
    2047
    PDF: 542
    HTML: 66
  • A geographical information system model to define COVID-19 problem areas with an analysis in the socio-economic context at the regional scale in the North of Spain

    Olga De Cos, Valentín Castillo-Salcines, David Cantarero-Prieto
    18-03-2022
    https://doi.org/10.4081/gh.2022.1067
    1970
    PDF: 687
    HTML: 49
  • Random forest variable selection in spatial malaria transmission modelling in Mpumalanga Province, South Africa

    Thandi Kapwata, Michael T. Gebreslasie
    16-11-2016
    https://doi.org/10.4081/gh.2016.434
    4541
    PDF: 2027
    APPENDIX 1: 490
    APPENDIX 2: 516
    HTML: 1654
  • 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
    1682
    PDF: 776
    Supplementary Materials: 149
    HTML: 26
  • Geospatial epidemiology of coronary artery disease treated with percutaneous coronary intervention in Crete, Greece

    Evangelos Melidoniotis, Kleomenis Kalogeropoulos, Andreas Tsatsaris, Michail Zografakis-Sfakianakis, George Lazopoulos, Nikolaos Tzanakis, Ioannis Anastasiou, Emmanouil Skalidis
    16-05-2024
    https://doi.org/10.4081/gh.2024.1251
    2624
    PDF: 782
    HTML: 63
  • 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
    7592
    PDF: 2628
    APPENDIX: 1216
    HTML: 5523
  • 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
    3059
    PDF: 1094
    HTML: 811
  • 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
    3073
    PDF: 848
    HTML: 112
  • 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
    753
    PDF: 281
    HTML: 12
  • The geographic environment and the frequency of falling: a study of mortality outcomes in elderly people in China

    Yi Huang, Chen Li, Xianjing Lu, Yue Wang
    25-05-2023
    https://doi.org/10.4081/gh.2023.1180
    1119
    PDF: 705
    HTML: 20
  • 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
    3974
    PDF: 1966
    HTML: 2264
  • Understanding COVID-19: comparison of spatio-temporal analysis methods used to study epidemic spread patterns in the United States

    Chunhui Liu, Xiaodi Su, Zhaoxuan Dong, Xingyu Liu, Chunxia Qiu
    25-05-2023
    https://doi.org/10.4081/gh.2023.1200
    1900
    PDF: 864
    HTML: 86
  • Spatial and temporal analysis of the human immunodeficiency virus in an area of social vulnerability in Northeast Brazil

    Géssyca Cavalcante de Melo, Emilia Carolle Azevedo de Oliveira, Iane Brito Leal, Carolina Piedade Morais de Freitas Soares Silva, Roberta Andrade Beltrão, Allan Dantas dos Santos, Renata Karina Reis, Marco Antônio Prado Nunes, Karina Conceição Gomes Machado de Araujo
    26-11-2020
    https://doi.org/10.4081/gh.2020.863
    3393
    PDF: 1245
    HTML: 43
  • Risk discrepancies in COVID-19-related community environments based on spatiotemporal monitoring

    Jihong Zhang, Guohua Yin, Qiuhua Zhang, Juan Fang, Duo Jiang, Chao Yang, Na Sun
    28-04-2025
    https://doi.org/10.4081/gh.2025.1286
    1617
    PDF: 520
    HTML: 104
  • 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
    2553
    PDF: 1242
    HTML: 1043
  • 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
    875
    PDF: 428
    HTML: 11
  • Temporal and spatial analyses of colorectal cancer incidence in Yogyakarta, Indonesia: a cross-sectional study

    Juan Adrian Wiranata, Herindita Puspitaningtyas, Susanna Hilda Hutajulu, Jajah Fachiroh, Nungki Anggorowati, Guardian Yoki Sanjaya, Lutfan Lazuardi, Patumrat Sripan
    25-05-2023
    https://doi.org/10.4081/gh.2023.1186
    2153
    PDF: 1212
    HTML: 68
  • Spatial prediction of the risk of exposure to Echinococcus spp. among schoolchildren and dogs in Ningxia Hui Autonomous Region, People's Republic of China

    Angela M. Cadavid Restrepo, Yu Rong Yang, Donald P. McManus, Darren J. Gray, Tamsin S. Barnes, Gail M. Williams, Ricardo J. Soares Magalhães, Archie C.A. Clements
    07-05-2018
    https://doi.org/10.4081/gh.2018.644
    2384
    PDF: 1025
    HTML: 100
  • Mapping malaria risk using geographic information systems and remote sensing: The case of Bahir Dar City, Ethiopia

    Amare Sewnet Minale, Kalkidan Alemu
    07-05-2018
    https://doi.org/10.4081/gh.2018.660
    7542
    PDF: 2649
    HTML: 1261
  • Simulation of the spatial distribution of urban populations based on first-aid call data

    Yinan Zhou, Qin Zhong Zhu, Li Luo
    29-12-2020
    https://doi.org/10.4081/gh.2020.768
    1699
    PDF: 711
    HTML: 43
  • 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
    2475
    PDF: 767
    HTML: 101
  • The influence of socioeconomic deprivation, access to healthcare and physical environment on old-age survival in Portugal

    Ana Isabel Ribeiro, Elias Teixeira Krainski, Marilia Sá Carvalho, Maria de Fátima de Pina
    07-11-2017
    https://doi.org/10.4081/gh.2017.581
    3844
    PDF: 1486
    HTML: 881
  • Evaluation of household knowledge, attitudes and practices concerning malaria in the city of Djibouti

    Osman Abdillahi Guedi, Yao Télesphore Brou, Eric Delmelle, Sébastien Briolant
    16-06-2026
    https://doi.org/10.4081/gh.2026.1451
    597
    PDF: 199
    Supplementary materials: 62
    HTML: 5
  • Spatial variability of mother-to-child human immunodeficiency virus transmission in a province in the Brazilian Rainforest: An ecological study

    Marcus Matheus Quadros Santos, Bianca Alessandra Gomes do Carmo, Taymara Barbosa Rodrigues, Bruna Rafaela Leite Dias, Cleyton Abreu Martins, Glenda Roberta Oliveira Naiff Ferreira, Andressa Tavares Parente, Cíntia Yollete Urbano Pauxis Aben-Atha, Sandra Helena Isse Polaro, Eliã Pinheiro Botelho
    29-11-2022
    https://doi.org/10.4081/gh.2022.1101
    1209
    PDF: 1037
    HTML: 35
  • Association of city-level walkability, accessibility to biking and public transportation and socio-economic features with COVID-19 infection in Massachusetts, USA: An ecological study

    Yucheng Wang, Thomas C. Tsai, Dustin T. Duncan, John Ji
    14-01-2022
    https://doi.org/10.4081/gh.2022.1017
    5944
    PDF: 1224
    Appendix: 508
    HTML: 57
  • The food environment and adult obesity in US metropolitan areas

    Akihiko Michimi, Michael C. Wimberly
    26-11-2015
    https://doi.org/10.4081/gh.2015.368
    6493
    PDF: 3004
    HTML: 1245
  • Spatial electromagnetic field intensity modelling of global system for mobile communication base stations in the Istanbul Technical University Ayazaga campus area

    Kubra Boz, Hayri Hakan Denli
    07-05-2018
    https://doi.org/10.4081/gh.2018.527
    1691
    PDF: 1002
    HTML: 145
  • 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
    1567
    PDF: 671
    HTML: 111
  • Nigeria’s malaria prevalence in 2015: a geospatial, exploratory district-level approach

    Mina Whyte, Kennedy Mwai Wambui, Eustasius Musenge
    25-11-2024
    https://doi.org/10.4081/gh.2024.1243
    1714
    PDF: 711
    HTML: 122
  • Spatial-temporal risk factors in the occurrence of rabies in Mexico

    Reyna Ortega-Sánchez, Isabel Bárcenas-Reyes, Jesús Luna-Cozar, Edith Rojas-Anaya, José Quintín Cuador-Gil, Germinal Jorge Cantó-Alarcón, Nerina Veyna-Salazar, Sara González-Ruiz, Feliciano Milián-Suazo
    30-01-2024
    https://doi.org/10.4081/gh.2024.1245
    4975
    PDF: 1551
    HTML: 1150
  • Typhoid fever in Jakarta, Indonesia 2017-2023: spatial clustering and seasonality of hospitalization data to inform better intervention

    Mujiyanto Mujiyanto, Basuki Rachmat, Aris Yulianto, Made Agus Nurjana, Wawan Ridwan, Endang Puji Astuti, Doni Lasut, Pandji Wibawa Dhewantara
    15-05-2025
    https://doi.org/10.4081/gh.2025.1372
    3362
    PDF: 1442
    HTML: 716
  • Application of decision tree for prediction of cutaneous leishmaniasis incidence based on environmental and topographic factors in Isfahan Province, Iran

    Roghieh Ramezankhani, Nooshin Sajjadi, Roya Nezakati Esmaeilzadeh, Seyed Ali Jozi, Mohammad Reza Shirzadi
    08-05-2018
    https://doi.org/10.4081/gh.2018.664
    1891
    PDF: 1073
    HTML: 177
  • Spatial multilevel modelling male partners’ influence on women’s modern contraceptive use: a study in Angola and Zambia

    Kabeya Clement Mulamba
    12-05-2025
    https://doi.org/10.4081/gh.2025.1340
    1563
    PDF: 348
    HTML: 61
  • Bayesian spatial modelling of contraception effects on fertility in Mexican municipalities in 2020

    Gerardo Núñez Medina
    17-05-2022
    https://doi.org/10.4081/gh.2022.1080
    1374
    PDF: 720
    HTML: 164
  • 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
    1493
    PDF: 742
    HTML: 361
  • Spatial autocorrelation and heterogenicity of demographic and healthcare factors in the five waves of COVID-19 epidemic in Thailand

    Ei Sandar U, Wongsa Laohasiriwong, Kittipong Sornlorm
    25-05-2023
    https://doi.org/10.4081/gh.2023.1183
    1889
    PDF: 1061
    Supplementary Materials: 178
    HTML: 110
1 - 64 of 64 items

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vhealths

vHealth Section

Geospatial Health
opens the new vHealth section. Discover vHealth

Vol. 21 No. 2 (2026)
Spatial risk of hypertension in rural China: modelling the effect of dietary, behavioural and climate factors
Jie Wang et al.
23 July 2026
Vol. 21 No. 2 (2026)
Epidemiological and spatial analysis of breast cancer mortality and survival among women in San Luis Potosi, Mexico 2009-2019
Carlos Daniel Coronado-Ruis et al.
23 July 2026
Vol. 21 No. 2 (2026)
Geospatial assessment of dengue fever risk and spatial patterns in Phayao Province, Thailand
Phaisarn Jeefoo et al.
23 July 2026
Vol. 21 No. 2 (2026)
Synergistic drivers of Lyme disease emergence in North America: an eco-syndemic review
Michael F. Ojo et al.
4 August 2026

Keywords

Geospatial Health

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