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eISSN 1970-7096 - pISSN 1827-1987

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Editor-in-Chief: Robert Bergquist

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  • 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
    798
    PDF: 331
    Supplementary materials: 77
    HTML: 22
  • Spatial inequalities in cancer with special reference to lung cancer across Europe and their implications for environmental health policy

    Dimitrios Ntokos
    14-04-2026
    https://doi.org/10.4081/gh.2026.1453
    401
    PDF: 189
    Supplementary materials: 26
    HTML: 8
  • 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
    8411
    PDF: 3524
    HTML: 2705
  • 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
    5428
    PDF: 2667
    HTML: 802
  • 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
    2379
    PDF: 838
    Supplementary materials: 201
    HTML: 113
  • 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
    2766
    PDF: 544
    HTML: 67
  • 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
    1888
    PDF: 987
    HTML: 172
  • 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
    4384
    PDF: 2306
    HTML: 2205
  • 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
    2875
    PDF: 2000
    HTML: 400
  • 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
    1073
    PDF: 735
    HTML: 38
  • 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
    1769
    PDF: 966
    Appendix: 139
    HTML: 80
  • 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
    7305
    PDF: 2535
    APPENDIX: 1182
    HTML: 5431
  • 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
    2129
    PDF: 928
    HTML: 116
  • 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
    812
    PDF: 415
    Supplementary materials: 74
    HTML: 29
  • 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
    1338
    PDF: 448
    HTML: 27
  • 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
    2498
    PDF: 1101
    HTML: 111
  • 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
    370
    PDF: 150
    HTML: 7
  • 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
    2400
    PDF: 830
    HTML: 79
  • 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
    1196
    PDF: 864
    HTML: 34
  • 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
    1496
    PDF: 706
    Supplementary Materials: 121
    HTML: 20
  • Spatial distribution and sociodemographic risk factors of malaria in Nigerian children less than 5 years old

    Chigozie Louisa J. Ugwu, Temesgen Zewotir
    29-12-2020
    https://doi.org/10.4081/gh.2020.819
    3852
    PDF: 1821
    HTML: 770
  • 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
    609
    PDF: 324
    HTML: 11
  • Spatial pattern of tuberculosis cases in Jos Metropolis, Nigeria in the period 2019-2022

    Augustine Odo Ebonyi, Mary-Jane Ebire Ebonyi, Femi Rufus Tinuola, Isaiah Gwitira
    16-03-2026
    https://doi.org/10.4081/gh.2026.1456
    197
    PDF: 188
    HTML: 10
  • Mapping healthcare resources and regional mortality in Europe: a spatial study of current service coverage

    Alicja Olejnik, Agata Żółtaszek
    04-12-2025
    https://doi.org/10.4081/gh.2025.1425
    361
    PDF: 210
    Supplementary materials: 29
    HTML: 22
  • 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
    2241
    PDF: 968
    HTML: 94
  • 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
    2088
    PDF: 638
    HTML: 108
  • 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
    516
    PDF: 249
    HTML: 6
  • 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
    1901
    PDF: 729
    HTML: 129
  • 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
    856
    PDF: 421
    Supplementary materials: 75
    HTML: 17
  • Spatial association between the incidence rate of COVID-19 and poverty in the São Paulo municipality, Brazil

    Marcos César Ferreira
    26-11-2020
    https://doi.org/10.4081/gh.2020.921
    7487
    PDF: 1482
    Appendix: 180
    HTML: 33
  • 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
    2776
    PDF: 790
    HTML: 98
  • Geostatistical integration and uncertainty in pollutant concentration surface under preferential sampling

    Laura Grisotto, Dario Consonni, Lorenzo Cecconi, Dolores Catelan, Corrado Lagazio, Pier Alberto Bertazzi, Michela Baccini, Annibale Biggeri
    18-04-2016
    https://doi.org/10.4081/gh.2016.426
    2401
    PDF: 1830
    HTML: 1145
  • 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
    1793
    PDF: 1219
    HTML: 199
  • 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
    4308
    PDF: 2046
    HTML: 581
  • 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
    1612
    PDF: 816
    HTML: 78
  • 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
    3234
    PDF: 1691
    HTML: 197
  • Fine scale mapping of malaria infection clusters by using routinely collected health facility data in urban Dar es Salaam, Tanzania

    Yeromin P. Mlacha, Prosper P. Chaki, Alpha D. Malishee, Victoria M. Mwakalinga, Nicodem J. Govella, Alex J. Limwagu, John M. Paliga, Daniel F. Msellemu, Zawadi D. Mageni, Dianne J. Terlouw, Gerry F. Killeen, Stefan Dongus
    11-05-2017
    https://doi.org/10.4081/gh.2017.494
    4723
    PDF: 1718
    HTML: 1296
  • Comparison of complete and spatial sampling frames for estimation of the prevalence of hypertension and diabetes mellitus

    Vasna Joshua, Kamaraj Pattabi, Yuvaraj Jeyaraman, Prabhdeep Kaur, Tarun Bhatnagar, Suresh Arunachalam, Sabarinathan Ramasamy, Venkateshprabhu Janagaraj, Manoj V Murhekar
    30-11-2022
    https://doi.org/10.4081/gh.2022.1097
    2314
    PDF: 940
    HTML: 122
  • Unravelling the dual burden in regional context: how child malnutrition and socioeconomic gradients shape early childhood development

    Muhammad Usman
    05-02-2026
    https://doi.org/10.4081/gh.2026.1455
    496
    PDF: 344
    HTML: 12
  • Evaluation by accessibility index differences of the cross-border potential for general inpatient care in the Ems-Dollart Region, a Dutch-German cross-border area

    Sebastian Specht, Helge Schnack, Andreas Hein
    08-08-2025
    https://doi.org/10.4081/gh.2025.1381
    1268
    PDF: 348
    HTML: 51
  • 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
    2774
    PDF: 1312
    APPENDIX: 479
    HTML: 1152
  • Evaluation of spatial cluster detection methods for dengue fever in the state of Paraiba, Brazil

    Alline Oliveira do Nascimento Veloso, Leonardo Wanderley Lopes, Ronei Marcos de Moraes
    27-10-2025
    https://doi.org/10.4081/gh.2025.1393
    582
    PDF: 353
    HTML: 36
  • Assessing spatial patterns of HIV prevalence and interventions in semi-urban settings in South Africa. Implications for spatially targeted interventions

    Lucy Chimoyi, Zvifadzo Matsena-Zingoni, Salome Charalambous, Edmore Marinda, Samuel Manda, Eustasius Musenge
    29-08-2022
    https://doi.org/10.4081/gh.2022.1084
    2253
    PDF: 589
    Supplementary 1: 146
    Supplementary 2: 346
    HTML: 172
  • Hyperendemicity, heterogeneity and spatial overlap of leprosy and cutaneous leishmaniasis in the southern Amazon region of Brazil

    Amanda Gabriela de Carvalho, João Gabriel Guimarães Luz, João Victor Leite Dias, Anuj Tiwari, Peter Steinmann, Eliane Ignotti
    29-12-2020
    https://doi.org/10.4081/gh.2020.892
    2159
    PDF: 1028
    HTML: 47
  • Spatio-temporal variations and determinants of antenatal care utilization among adolescents in Bulawayo metropolitan area, Zimbabwe: an analysis of routine data, 2019-2024

    Tariroyashe Chivanganye, Maphios Siamuchembu, Alice Gumbo, Lenka Beňová, Peter M. Macharia
    11-12-2025
    https://doi.org/10.4081/gh.2025.1434
    493
    PDF: 419
    HTML: 38
  • Detection of spatial aggregation of cases of cancer from data on patients and health centres contained in the Minimum Basic Data Set

    Pablo Fernández-Navarro, Jose-Miguel Sanz-Anquela, Angel Sánchez Pinilla, Rosario Arenas Mayorga, Carmen Salido-Campos, Gonzalo Lòpez-Abente
    07-05-2018
    https://doi.org/10.4081/gh.2018.616
    1879
    PDF: 953
    SUPPLEMENTARY: 418
    HTML: 140
  • Spatial pattern and heterogeneity of chronic respiratory diseases and relationship to socio-demographic factors in Thailand in the period 2016 to 2019

    Zar Chi Htwe, Wongsa Laohasiriwong, Kittipong Sornlorm, Roshan Mahato
    25-05-2023
    https://doi.org/10.4081/gh.2023.1203
    1037
    PDF: 672
    HTML: 33
  • Spatial Bayesian semi-parametric Cox-Leroux modelling of stroke patient hospitalization: aspects on survival

    Aswi Aswi, Bobby Poerwanto, Nurussyariah Hammado, Nurwan Nurwan, Oktaviana Oktaviana, Siti Djawijah, Susanna Cramb
    21-07-2025
    https://doi.org/10.4081/gh.2025.1380
    952
    PDF: 391
    HTML: 37
  • Tuberculosis in Aceh Province, Indonesia: a spatial epidemiological study covering the period 2019–2021

    Farrah Fahdhienie, Frans Yosep Sitepu, Elpiani Br Depari
    03-09-2024
    https://doi.org/10.4081/gh.2024.1318
    1801
    PDF: 840
    HTML: 111
  • 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
    3178
    PDF: 1246
    HTML: 1085
  • Modelling and analyzing spatial clusters of leptospirosis based on satellite-generated measurements of environmental factors in Thailand during 2013-2015

    Amornrat Luenam, Nattapong Puttanapong
    26-11-2020
    https://doi.org/10.4081/gh.2020.856
    3498
    PDF: 1245
    HTML: 72
  • Spatial analysis of the AIDS mortality rate among young people in a province of the Brazilian Amazon: An ecological study

    Sara Melissa Lago Sousa, Andrey Oeiras Pedroso , Iaron Leal Seabra , Glenda Roberta Oliveira Naiff Ferreira, Aline Maria Pereira Cruz Ramos , Sandra Helena Isse Polaro, Eliã Pinheiro Botelho
    29-11-2022
    https://doi.org/10.4081/gh.2022.1102
    1113
    PDF: 905
    HTML: 20
  • 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
    3274
    PDF: 1447
    HTML: 1226
  • Measuring high-density built environment for public health research: Uncertainty with respect to data, indicator design and spatial scale

    Guibo Sun, Chris Webster, Michael Y. Ni, Xiaohu Zhang
    07-05-2018
    https://doi.org/10.4081/gh.2018.653
    2555
    PDF: 1439
    HTML: 234
  • 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
    656
    PDF: 348
    HTML: 8
  • 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
    1453
    PDF: 798
    HTML: 52
  • 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
    3836
    PDF: 690
    HTML: 96
  • 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
    1523
    PDF: 356
    HTML: 70
  • 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
    8470
    PDF: 1583
    HTML: 881
  • 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
    2549
    PDF: 1136
    HTML: 681
  • Investigating spatiotemporal patterns of the COVID-19 in São Paulo State, Brazil

    Enner Alcântara, José Mantovani, Luiz Rotta, Edward Park, Thanan Rodrigues, Fernando Campos Carvalho, Carlos Roberto Souza Filho
    26-11-2020
    https://doi.org/10.4081/gh.2020.925
    3978
    PDF: 1343
    HTML: 29
  • 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
    3249
    PDF: 1160
    HTML: 37
  • Child mortality inequalities across Rwanda districts: a geoadditive continuous-time survival analysis

    François Niragire, Thomas N.O. Achia, Alexandre Lyambabaje, Joseph Ntaganira
    11-05-2017
    https://doi.org/10.4081/gh.2017.450
    3174
    PDF: 1825
    HTML: 1393
  • 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
    2069
    PDF: 1027
    HTML: 159
  • 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
    2494
    PDF: 695
    HTML: 58
  • Examination of infant mortality risk in Turkey with spatio-temporal Bayesian models

    Sade Kılıç Yıldırım, Celal Reha Alpar
    14-11-2025
    https://doi.org/10.4081/gh.2025.1396
    432
    PDF: 214
    HTML: 6
  • The influence of urban heat islands and socioeconomic factors on the spatial distribution of Aedes aegypti larval habitats

    Thiago S. de Azevedo, Brian Patrick Bourke, Rafael Piovezan, Maria Anice M. Sallum
    08-05-2018
    https://doi.org/10.4081/gh.2018.623
    3126
    PDF: 1486
    HTML: 573
  • Spatial analysis of stunting determinants in 514 Indonesian districts/cities: Implications for intervention and setting of priority

    Tris Eryando, Tiopan Sipahutar, Meiwita Paulina Budhiharsana, Kemal N. Siregar, Muhammad Nur Aidi, Dr. Minarto, Diah Mulyawati Utari, Martya Rahmaniati, Harimat Hendarwan
    17-05-2022
    https://doi.org/10.4081/gh.2022.1055
    4057
    PDF: 2241
    HTML: 128
  • 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
    2924
    PDF: 996
    HTML: 798
  • Spatial analysis of incidence of cutaneous melanoma in the Friuli Venezia Giulia region in the period 1995-2005

    Lorenzo Cecconi, Anna Busolin, Fabio Barbone, Diego Serraino, Alessandra Chiarugi, Annibale Biggeri, Dolores Catelan
    18-04-2016
    https://doi.org/10.4081/gh.2016.422
    2603
    PDF: 1685
    HTML: 977
  • Aspects of public health development in China’s western region

    Jisha Zhang, Jing Luo, Guolei Chen, Chunyan Zhang, Lianlian Li, Taijia Ma
    15-04-2024
    https://doi.org/10.4081/gh.2024.1252
    2258
    PDF: 613
    HTML: 69
  • 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
    3428
    PDF: 1817
    HTML: 1329
  • Estimating malaria burden in Nigeria: a geostatistical modelling approach

    Nnadozie Onyiri
    04-11-2015
    https://doi.org/10.4081/gh.2015.306
    7631
    PDF: 3184
    HTML: 3280
  • 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
    1620
    PDF: 489
    Appendix: 256
    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
    3938
    PDF: 1854
    HTML: 2189
  • Use of an ecologically relevant modelling approach to improve remote sensing-based schistosomiasis risk profiling

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Geospatial Health
opens the new vHealth section. Discover vHealth

Vol. 21 No. 1 (2026)
Spatial inequalities in cancer with special reference to lung cancer across Europe and their implications for environmental health policy
Dimitrios Ntokos
14 April 2026
Vol. 21 No. 1 (2026)
Snakebite epidemiology in the State of Mexico, Mexico 2003-2024
Aldo Gómez-Benitez et al.
9 April 2026
Vol. 21 No. 1 (2026)
Diabetes prevalence in the state of Alabama: identifying the risk factors
Kwaku Karikari Manu et al.
31 March 2026

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Geospatial Health

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