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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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  • Enhancing GeoHealth: A step-by-step procedure for spatiotemporal disease mapping

    Bart Roelofs, Gerd Weitkamp
    23-10-2024
    https://doi.org/10.4081/gh.2024.1287
    934
    PDF: 354
    Supplementary Materials: 151
    HTML: 177
  • 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
    1172
    PDF: 618
    HTML: 57
  • 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
    1111
    PDF: 328
    HTML: 5
  • 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
    2665
    PDF: 904
    HTML: 761
  • 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
    1220
    PDF: 590
    Supplementary Materials: 78
    HTML: 15
  • Application of modern spatio-temporal analysis technologies to identify and visualize patterns of rabies emergence among different animal species in Kazakhstan

    Aizada A. Mukhanbetkaliyeva, Anar M. Kabzhanova, Ablaikhan S. Kadyrov, Yersyn Y. Mukhanbetkaliyev, Temirlan G. Bakishev, Aslan A. Bainiyazov, Rakhimtay B. Tleulessov, Fedor I. Korennoy, Andres M. Perez, Sarsenbay K. Abdrakhmanov
    31-07-2024
    https://doi.org/10.4081/gh.2024.1290
    1410
    PDF: 616
    HTML: 107
  • Spatiotemporal epidemiology of COVID-19 from an epidemic course perspective

    Yuling Huang, Shujuan Yang, Yuxuan Zou, Jianming Su, Canglang Wu, Bo Zhong, Peng Jia
    10-02-2022
    https://doi.org/10.4081/gh.2022.1023
    3101
    PDF: 476
    HTML: 23
  • 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
    1578
    PDF: 492
    HTML: 36
  • 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
    7772
    PDF: 3209
    HTML: 2663
  • The effects of population mobility on Chinese HIV epidemics in spill-over and influx risks perspectives: a spatial epidemiology analysis

    Yazhen Zhang, Hui Jin
    08-09-2025
    https://doi.org/10.4081/gh.2025.1384
    395
    PDF: 91
    Supplementary materials: 27
    HTML: 5
  • 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
    1466
    PDF: 293
    HTML: 1
  • A conceptional model integrating geographic information systems (GIS) and social media data for disease exposure assessment

    Jerry Enoe , Michael Sutherland, Dexter Davis, Bheshem Ramlal, Charisse Griffith-Charles , Keston H. Bhola, Elsai Mati Asefa
    28-03-2024
    https://doi.org/10.4081/gh.2024.1264
    2605
    PDF: 709
    HTML: 62
  • Spatiotemporal distribution and geostatistically interpolated mapping of the melioidosis risk in an endemic zone in Thailand

    Jaruwan Wongbutdee, Jutharat Jittimanee, Wacharapong Saengnill
    05-07-2023
    https://doi.org/10.4081/gh.2023.1189
    1564
    PDF: 812
    HTML: 62
  • 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
    1879
    PDF: 364
    HTML: 73
  • Vulnerability to COVID-19 in Pernambuco, Brazil: A geospatial evaluation supported by multiple-criteria decision aid methodology

    Ciro José Jardim de Figueiredo, Caroline Maria de Miranda Mota, Amanda Gadelha Ferreira Rosa, Arthur Pimentel Gomes de Souza, Simone Maria da Silva Lima
    14-01-2022
    https://doi.org/10.4081/gh.2022.1000
    2481
    PDF: 456
    HTML: 44
  • 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
    1532
    PDF: 872
    Appendix: 107
    HTML: 70
  • From Snow’s map of cholera transmission to dynamic catchment boundary delineation: current front lines in spatial analysis

    Behzad Kiani, Colleen Lau, Robert Bergquist
    26-10-2023
    https://doi.org/10.4081/gh.2023.1247
    1565
    PDF: 728
    HTML: 22
  • Childhood stunting in Indonesia: assessing the performance of Bayesian spatial conditional autoregressive models

    Aswi Aswi, Septian Rahardiantoro, Anang Kurnia, Bagus Sartono , Dian Handayani, Nurwan Nurwan, Susanna Cramb
    03-10-2024
    https://doi.org/10.4081/gh.2024.1321
    1440
    PDF: 552
    HTML: 93
  • 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
    6932
    PDF: 2391
    APPENDIX: 1126
    HTML: 5213
  • 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
    4064
    PDF: 1189
    HTML: 918
  • Global spreading of Omicron variant of COVID-19

    Pengxin Zhang, Shuhan Yang, Shaoqing Dai, Darren How Jin Aik, Shujuan Yang, Peng Jia
    13-07-2022
    https://doi.org/10.4081/gh.2022.1083
    1689
    PDF: 724
    HTML: 48
  • 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
    887
    PDF: 576
    HTML: 32
  • 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
    4119
    PDF: 2194
    HTML: 2164
  • Spatial autocorrelation pattern of COVID-19 vaccine coverage in Thailand 2021 and 2022

    Sarayu Muntaphan, Kittipong Sornlorm
    13-05-2025
    https://doi.org/10.4081/gh.2025.1368
    1191
    PDF: 239
    HTML: 55
  • 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
    1411
    PDF: 842
    HTML: 49
  • 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
    1080
    PDF: 557
    HTML: 114
  • Mastering geographically weighted regression: key considerations for building a robust model

    Behzad Kiani, Benn Sartorius, Colleen L. Lau, Robert Bergquist
    29-02-2024
    https://doi.org/10.4081/gh.2024.1271
    7963
    PDF: 1414
    HTML: 847
  • 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
    2467
    PDF: 1362
    HTML: 155
  • The impact of geographic mobility on the spread of COVID-19 in Hong Kong

    Paulina Pui Yun Wong, Chien-Tat Low, Poh-Chin Lai
    14-02-2022
    https://doi.org/10.4081/gh.2022.1022
    2936
    PDF: 486
    HTML: 118
  • Zoning the territory of the Republic of Kazakhstan as to the risk of rabies among various categories of animals

    Sarsenbay K. Abdrakhmanov, Akhmetzhan A. Sultanov, Kanatzhan K. Beisembayev, Fedor I. Korennoy, Dosym B. Кushubaev, Ablaikhan S. Каdyrov
    31-05-2016
    https://doi.org/10.4081/gh.2016.429
    2629
    PDF: 1216
    APPENDIX: 628
    HTML: 1456
  • 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
    1496
    PDF: 430
    Supplementary materials: 148
    HTML: 103
  • Spatial autocorrelation and stratified heterogeneity in the evaluation of breast cancer risk inequity and socioeconomic factors analysis in China: Evidence from Nanchang, Jiangxi Province

    Yaqi Wang, Zhiwei Wan
    17-05-2022
    https://doi.org/10.4081/gh.2022.1078
    1535
    PDF: 859
    HTML: 120
  • 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
    798
    PDF: 680
    HTML: 15
  • Sentiment analysis using a lexicon-based approach in Lisbon, Portugal

    Iuria Betco, Ana Isabel Ribeiro, David S. Vale, Luis Encalada-Abarca, Cláudia M. Viana, Jorge Rocha
    24-04-2025
    https://doi.org/10.4081/gh.2025.1344
    1018
    PDF: 291
    Supplementary Materials: 143
    HTML: 69
  • Province clustering based on the percentage of communicable disease using the BCBimax biclustering algorithm

    Muhammad Nur Aidi, Cynthia Wulandari, Sachnaz Desta Oktarina, Taufiqur Rakhim Aditra, Fitrah Ernawati, Efriwati Efriwati, Nunung Nurjanah, Rika Rachmawati, Elisa Diana Julianti, Dian Sundari, Fifi Retiaty, Aya Yuriestia Arifin, Rita Marleta Dewi, Nazarina Nazaruddin, Salimar Salimar, Noviati Fuada, Yekti Widodo, Budi Setyawati, Nuzuliyati Nurhidayati, Sudikno Sudikno, Irlina Raswanti Irawan, Widoretno Widoretno
    12-09-2023
    https://doi.org/10.4081/gh.2023.1202
    1593
    PDF: 777
    HTML: 102
1 - 35 of 35 items

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vhealths

vHealth Section

Geospatial Health
opens the new vHealth section. Discover vHealth

Vol. 20 No. 2 (2025)
Evaluation of emergency medical service application from a geographical location perspective in Turkey
Özgür Elmas et al.
29 September 2025

Keywords

Geospatial Health

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pISSN: 1827-1987
eISSN: 1970-7096

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