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eISSN 1970-7096 - pISSN 1827-1987

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Editor-in-Chief: Robert Bergquist

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  • Spatial air pollution modelling for a West-African town

    Sirak Zenebe Gebreab, Danielle Vienneau, Christian Feigenwinter, Hampâté Bâ, Guéladio Cissé, Ming-Yi Tsai
    26-11-2015
    https://doi.org/10.4081/gh.2015.321
    3557
    PDF: 1551
    SUPPL. MATERIAL: 417
    HTML: 1079
  • A spatiotemporal analysis of the impact of the COVID-19 outbreak on noise pollution in Tehran, Iran

    Omid Reza Abbasi, Yasser Ebrahimian Ghajari , Ali Asghar Alesheikh
    29-11-2022
    https://doi.org/10.4081/gh.2022.1114
    757
    PDF: 673
    HTML: 9
  • Asthmatic symptoms and air pollution: a panel study on children living in the Italian Po Valley

    Andrea Ranzi, Anna Freni Sterrantino, Francesco Forastiere, Claudio Sartini, Giovanna Casale, Rino Cavallini, Aldo De Togni, Lorenza Gallo, Paolo Lauriola
    26-11-2015
    https://doi.org/10.4081/gh.2015.366
    3280
    PDF: 1466
    HTML: 1242
  • Cancer incidence in Priolo, Sicily: a spatial approach for estimation of industrial air pollution impact

    Lucia Fazzo, Mario Carere, Francesco Tisano, Caterina Bruno, Achille Cernigliaro, Maria Rita Cicero, Pietro Comba, Maria Luisa Contrino, Marco De Santis, Fabrizio Falleni, Vincenzo Ingallinella, Anselmo Madeddu, Ida Marcello, Carlo Regalbuto, Giovanna Sciacca, Maria Eleonora Soggiu, Amerigo Zona
    18-04-2016
    https://doi.org/10.4081/gh.2016.320
    4882
    PDF: 1874
    HTML: 1997
  • A post-pandemic analysis of air pollution over small-sized urban areas in southern Thailand following the COVID-19 lockdown

    Dimitris Stratoulias, Beomgeun Jang, Narissara Nuthammachot
    07-07-2025
    https://doi.org/10.4081/gh.2025.1354
    624
    PDF: 223
    Supplementary Materials: 45
    HTML: 36
  • Report-back for geo-referenced environmental data: A case study on personal monitoring of temperature in outdoor workers

    Laura Thompson, Maggie Sugg, Jennifer Runkle
    07-05-2018
    https://doi.org/10.4081/gh.2018.629
    2327
    PDF: 1035
    APPENDIX: 333
    HTML: 75
  • The Labin Region, an ecologically vulnerable geographical area in Croatia: Mortality characteristics in an area polluted by industrial over a 40-year period

    Toni Buterin, Robert Doričić, Dalibor Broznić, Tanja Ćorić, Amir Muzur
    17-05-2022
    https://doi.org/10.4081/gh.2022.1082
    916
    PDF: 485
    HTML: 63
  • 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
    2180
    PDF: 1655
    HTML: 1139
  • 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
    445
    PDF: 118
    HTML: 16
  • Air quality classification and its temporal trend in Tehran, Iran, 2002-2012

    Raheleh Saniei, Ali Zangiabadi, Mohammad Sharifikia, Yousef Ghavidel
    31-05-2016
    https://doi.org/10.4081/gh.2016.442
    4575
    PDF: 1388
    HTML: 2576
  • 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
    3422
    PDF: 1176
    HTML: 849
  • 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
    2576
    PDF: 689
    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
    1857
    PDF: 358
    HTML: 73
  • Spatial analysis of congenital heart disease in São Paulo State, Brazil 2012-2022: associations with air pollution, maternal factors and social vulnerability

    Amarílis Bahia Bezerra, Ligia Vizeu Barrozo, Alfredo Pereira de Queiroz
    18-09-2025
    https://doi.org/10.4081/gh.2025.1407
    294
    PDF: 127
    HTML: 0
  • Lung cancer associated with natural vegetation cover: spatial analysis in the state of Pará, eastern Brazil

    Bruna Rafaela Leite Dias, Laura Maria Vidal Nogueira, Ivaneide Leal Ataíde Rodrigues, Bruna Puty, Maria Liracy Batista de Souza, Gracileide Maia Corrêa, Altem Nascimento Pontes
    12-09-2025
    https://doi.org/10.4081/gh.2025.1399
    372
    PDF: 90
    HTML: 2
  • COVID-19, air quality and space monitoring

    Yves M. Tourre, Mireille Paulin, Gilles Dhonneur, David Attias, Atul Pathak
    06-04-2022
    https://doi.org/10.4081/gh.2022.1052
    1605
    PDF: 480
    HTML: 20
  • Spatial analysis of antimicrobial resistance in the environment. A systematic review

    Patrick Spets, Karin Ebert, Patrik Dinnétz
    25-05-2023
    https://doi.org/10.4081/gh.2023.1168
    2486
    PDF: 847
    Supplementary Materials: 197
    HTML: 58
  • Spatial pattern analysis of the impact of community food environments on foetal macrosomia, preterm births and low birth weight

    Micaela Natalia Campero, Carlos Matías Scavuzzo, Carlos Marcelo Scavuzzo, María Dolores Román
    07-05-2024
    https://doi.org/10.4081/gh.2024.1249
    885
    PDF: 514
    Supplementary Materials: 101
    HTML: 59
  • 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
    3418
    PDF: 1072
    HTML: 1069
  • Modelling the presence of disease under spatial misalignment using Bayesian latent Gaussian models

    Xavier Barber, David Conesa, Silvia Lladosa, Antonio Lòpez-Quílez
    18-04-2016
    https://doi.org/10.4081/gh.2016.415
    3431
    PDF: 1733
    HTML: 2225
  • How much incident lung cancer was missed globally in 2012? An ecological country-level study

    Benn Sartorius, Kurt Sartorius
    31-05-2016
    https://doi.org/10.4081/gh.2016.396
    2463
    PDF: 1278
    HTML: 1025
  • Spatial correlates of COVID-19 first wave across continental Portugal

    Bruno Barbosa, Melissa Silva, César Capinha, Ricardo A.C. Garcia, Jorge Rocha
    23-06-2022
    https://doi.org/10.4081/gh.2022.1073
    1357
    PDF: 452
    HTML: 43
  • 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
    1620
    PDF: 432
    HTML: 37
  • 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
    1196
    PDF: 288
    HTML: 77
  • 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
    667
    PDF: 241
    HTML: 28
  • 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
    1929
    PDF: 489
    HTML: 61
  • A Bayesian spatiotemporal Poisson conditional autoregressive model for dengue haemorrhagic fever in Indonesia integrating satellite-generated environmental data

    Sukarna Sukarna, Hari Wijayanto, Yenni Angraini, Anang Kurnia
    18-07-2025
    https://doi.org/10.4081/gh.2025.1379
    566
    PDF: 269
    HTML: 22
  • Methodological approach to determine of small spatial units in a highly complex terrain in atmospheric pollution research: the case of Zasavje region in Slovenia

    Andreja Kukec, Marija Z. Boznar, Primoz Mlakar, Bostjan Grasic, Andrej Herakovic, Vesna Zadnik, Lijana Zaletel-Kragelj, Jerneja Farkas, Ivan Erzen
    527-535
    01-05-2014
    https://doi.org/10.4081/gh.2014.42
    1363
    PDF: 816
  • 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
    7739
    PDF: 3196
    HTML: 2663
  • 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
    1407
    PDF: 982
    Appendix: 113
    HTML: 174
  • Identifying inequitable exposure to toxic air pollution in racialized and low-income neighbourhoods to support pollution prevention

    Suzanne Kershaw, Stephanie Gower, Claus Rinner, Monica Campbell
    265-278
    01-05-2013
    https://doi.org/10.4081/gh.2013.85
    4826
    PDF: 2271
  • Smartphone-assisted spatial data collection improves geographic information quality: pilot study using a birth records dataset

    Xiaohui Xu, Hui Hu, Sandie Ha, Daikwon Han
    23-11-2016
    https://doi.org/10.4081/gh.2016.482
    2769
    PDF: 894
    HTML: 813
  • Comparison of GPS imputation methods in environmental health research

    Sungsoon Hwang, Kashica Webber-Ritchey, Elizabeth Moxley
    29-08-2022
    https://doi.org/10.4081/gh.2022.1081
    2110
    PDF: 911
    HTML: 31
  • Modelling of the distribution of Biomphalaria glabrata and Biomphalaria straminea in the metropolitan region of Recife, Pernambuco, Brazil

    Verônica Santos Barbosa, Ricardo José de Paula Souza e Guimarães, Rodrigo Moraes Loyo, Constança Simões Barbosa
    25-11-2016
    https://doi.org/10.4081/gh.2016.490
    2863
    PDF: 1190
    HTML: 1608
  • 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
    4995
    PDF: 2376
    HTML: 743
  • Regional variation of alanine aminotransferase serum levels in the People's Republic of China

    Peng Li, Miao Ge, Jing Jing, Dezhi Wei
    28-11-2017
    https://doi.org/10.4081/gh.2017.472
    2378
    PDF: 539
    HTML: 701
  • A geospatial analysis of cardiometabolic diseases and their risk factors considering environmental features in a midsized city in Argentina

    Micaela Natalia Campero, Carlos Matías Scavuzzo, Veronica Andreo, María Sol Mileo, Micaela Belén Franzois, María Georgina Oberto, Carla Gonzalez Rodriguez, María Daniela Defagó
    23-10-2023
    https://doi.org/10.4081/gh.2023.1212
    1309
    PDF: 684
    HTML: 13
  • Sensitivity analysis of the relationship between disease occurrence and distance from a putative source of pollution

    Emanuela Dreassi, Corrado Lagazio, Milena M. Maule, Corrado Magnani, Annibale Biggeri
    263-271
    01-05-2008
    https://doi.org/10.4081/gh.2008.249
    1245
    PDF: 678
  • 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
    3074
    PDF: 1345
    HTML: 1219
  • GeoMedStat: an integrated spatial surveillance system to track air pollution and associated healthcare events

    Fazlay S. Faruque, Hui Li, Worth B. Williams, Lance A. Waller, Bruce T. Brackin, Lei Zhang, Kim A. Grimes, Richard W. Finley
    S631-S646
    01-12-2014
    https://doi.org/10.4081/gh.2014.293
    3335
    PDF: 1487
  • Correlation analysis of air pollutant index levels and dengue cases across five different zones in Selangor, Malaysia

    Loshini Thiruchelvam, Sarat C. Dass, Rafdzah Zaki, Abqariyah Yahya, Vijanth S. Asirvadam
    07-05-2018
    https://doi.org/10.4081/gh.2018.613
    2088
    PDF: 1185
    HTML: 320
  • Preferential sampling in veterinary parasitological surveillance

    Lorenzo Cecconi, Annibale Biggeri, Laura Grisotto, Veronica Berrocal, Laura Rinaldi, Vincenzo Musella, Giuseppe Cringoli, Dolores Catelan
    18-04-2016
    https://doi.org/10.4081/gh.2016.412
    2020
    PDF: 1531
    APPENDIX: 558
    HTML: 1033
  • Assessing effects of structural zeros on models of canine cancer incidence: a case study of the Swiss Canine Cancer Registry

    Gianluca Boo, Stefan Leyk, Sara Irina Fabrikant, Andreas Pospischil, Ramona Graf
    11-05-2017
    https://doi.org/10.4081/gh.2017.539
    3331
    PDF: 1095
    HTML: 818
  • 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
    770
    PDF: 546
    HTML: 10
  • Cascading effects of COVID-19 on population mobility and air quality: An exploration including place characteristics using geovisualization

    Samuel F. Atkinson, Abhishek K. Kala, Chetan Tiwari
    17-02-2022
    https://doi.org/10.4081/gh.2022.1056
    2123
    PDF: 352
    HTML: 34
  • 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
    2361
    PDF: 617
    HTML: 57
  • Bivariate spatiotemporal disease mapping of cancer of the breast and cervix uteri among Iranian women

    Mehdi Raei, Volker Johann Schmid, Behzad Mahaki
    08-05-2018
    https://doi.org/10.4081/gh.2018.645
    2359
    PDF: 1070
    HTML: 133
  • Understanding needs and barriers to using geospatial tools for public health policymaking in China

    Dohyeong Kim, Yingyuan Zhang, Chang Kil Lee
    07-05-2018
    https://doi.org/10.4081/gh.2018.594
    1737
    PDF: 871
    HTML: 295
  • A Bayesian kriging model for estimating residential exposure to air pollution of children living in a high-risk area in Italy

    Ana M. Vicedo-Cabrera, Annibale Biggeri, Laura Grisotto, Fabio Barbone, Dolores Catelan
    87-95
    01-11-2013
    https://doi.org/10.4081/gh.2013.57
    2361
    PDF: 1253
  • Elucidating the underlying causes of oral cancer through spatial clustering in high-risk areas of Taiwan with a distinct gender ratio of incidence

    Chi-Ting Chiang, Yaw-Huei Hwang, Che-Chun Su, Kuo-Yang Tsai, Ie-Bin Lian, Tzu-Hsuen Yuan, Tsun-Kuo Chang
    231-242
    01-05-2010
    https://doi.org/10.4081/gh.2010.203
    2607
    PDF: 957
  • The environmental impact of buffalo manure in areas specialized in mozzarella production, southern Italy

    Roberta Infascelli, Salvatore Faugno, Stefania Pindozzi, Raffaele Pelorosso, Lorenzo Boccia
    131-137
    01-11-2010
    https://doi.org/10.4081/gh.2010.193
    1477
    PDF: 911
  • 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
    2838
    PDF: 1527
    HTML: 866
  • A geographically weighted regression approach to investigate air pollution effect on lung cancer: A case study in Portugal

    Diogo Cardoso, Marco Painho, Rita Roquette
    13-05-2019
    https://doi.org/10.4081/gh.2019.701
    3634
    PDF: 1748
    APPENDIX: 382
    HTML: 228
  • Place and health infrastructure in the Gulf Cooperation Council: A systematic scoping review of GIS applications in health

    Dari Alhuwail, Saad AlSharrah, Neil T Coffee, Faisal H Al-Refaei, Mark Daniel
    29-12-2020
    https://doi.org/10.4081/gh.2020.887
    2599
    PDF: 1006
    HTML: 49
  • Spatial and spatio-temporal clusters of lung cancer incidence by stage of disease in Michigan, United States 1985-2018

    Qiong Zhang, Shangrui Zhu, Sue C. Grady, Anqi Wang, Hollis Hutchings, Jessica Cox, Andrew Popoff, Ikenna Okereke
    14-02-2024
    https://doi.org/10.4081/gh.2024.1219
    6348
    PDF: 965
    Supplementary Materials: 116
    HTML: 82
  • A spatial, statistical approach to map the risk of milk contamination by β-hexachlorocyclohexane in dairy farms

    Sabrina Battisti, Antonino Caminiti, Giancarlo Ciotoli, Valentina Panetta, Pasquale Rombolá, Marcello Sala, Alessandro Ubaldi, Paola Scaramozzino
    77-86
    01-11-2013
    https://doi.org/10.4081/gh.2013.56
    1982
    PDF: 1105
  • Spatio-temporal statistics: applications in epidemiology, veterinary medicine and ecology

    Annibale Biggeri, Dolores Catelan, David Conesa, Penelope Vounatsou
    18-04-2016
    https://doi.org/10.4081/gh.2016.469
    2263
    PDF: 1358
    HTML: 918
  • Methodological framework for assessing malaria risk associated with climate change in Côte d’Ivoire

    Yao Etienne Kouakou, Iba Dieudonné Dely, Madina Doumbia, Aziza Ouattara, Effah Jemima N’da, Koffi Evrard Brou, Yao Anicet Zouzou, Guéladio Cissé, Brama Koné
    28-08-2024
    https://doi.org/10.4081/gh.2024.1285
    1335
    PDF: 603
    HTML: 100
  • Spatial analysis and prediction of the flow of patients to public health centres in a middle-sized Spanish city

    Isabel Ramos, Juan J. Cubillas, Francisco R. Feito, Tomas Ureña
    21-11-2016
    https://doi.org/10.4081/gh.2016.452
    2003
    PDF: 1125
    HTML: 1118
  • Spatiotemporal transmission and socio-climatic factors related to paediatric tuberculosis in north-western Ethiopia

    Kefyalew Addis Alene, Kerri Viney, Emma S. McBryde, Archie C.A. Clements
    27-11-2017
    https://doi.org/10.4081/gh.2017.575
    3447
    PDF: 1183
    APPENDIX: 387
    HTML: 844
  • The spatial distribution of interleukin-4 (IL-4) reference values in China based on a back propagation (BP) neural network

    Zhao Rong Huang, Miao Ge, Xin Rui Pang, Pu Song, Congxia Wang
    13-09-2023
    https://doi.org/10.4081/gh.2023.1197
    1111
    PDF: 479
    HTML: 14
  • 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
    1505
    PDF: 884
    HTML: 42
  • 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
    1538
    PDF: 720
    HTML: 22
  • 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
    1524
    PDF: 849
    HTML: 120
  • 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
    6926
    PDF: 2389
    APPENDIX: 1124
    HTML: 5208
  • Spatial-temporal analysis of prostate cancer incidence from the Pennsylvania Cancer Registry, 2000-2011

    Ming Wang, Stephen A. Matthews, Khaled Iskandarani, Yimei Li, Zheng Li, Vernon M. Chinchilli, Lijun Zhang
    28-11-2017
    https://doi.org/10.4081/gh.2017.611
    3556
    PDF: 836
    HTML: 718
  • 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
    1682
    PDF: 817
    HTML: 22
  • Spatial association between socio-economic health service factors and sepsis mortality in Thailand

    Juree Sansuk, Wongsa Laohasiriwong, Kittipong Sornlorm
    13-09-2023
    https://doi.org/10.4081/gh.2023.1215
    1400
    PDF: 567
    HTML: 33
  • 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
    1099
    PDF: 321
    HTML: 5
  • 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
    1569
    PDF: 489
    HTML: 36
  • Indirect field technology for detecting areas object of illegal spills harmful to human health: application of drones, photogrammetry and hydrological models

    Alessandra Capolupo, Stefania Pindozzi, Collins Okello, Lorenzo Boccia
    S699-S707
    01-12-2014
    https://doi.org/10.4081/gh.2014.298
    4161
    PDF: 1994
  • 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
    1399
    PDF: 802
    HTML: 103
  • 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
    2954
    PDF: 1616
    HTML: 1383
  • 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
    1756
    PDF: 847
    HTML: 135
  • The power of interactive maps for communicating spatio-temporal data to health professionals

    Nils Tjaden, Felix Geeraedts, Caroline K. Kioko, Annelies Riezebos-Brilman, Nashwan al Naiemi, Justine Blanford, Nienke Beerlage-de Jong
    29-08-2024
    https://doi.org/10.4081/gh.2024.1296
    1037
    PDF: 516
    HTML: 103
  • 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
    1133
    PDF: 608
    HTML: 57
  • Dynamic location model for designated COVID-19 hospitals in China

    Wang Fei, Yuan Linghong, Zhang Weigang, Zhang Ruihan
    29-10-2024
    https://doi.org/10.4081/gh.2024.1310
    902
    PDF: 288
    Supplementary Materials: 153
    HTML: 70
  • Identification and assessment of the driving forces for the use of urban green parks and their accessibility in Colombo, Sri Lanka, through analytical hierarchical processing

    P.R.G.N. Indika Pussella, Lin Li
    14-05-2019
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    2121
    PDF: 1074
    APPENDIX: 308
    HTML: 108
  • 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
    1292
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    Supplementary Materials: 106
    HTML: 32
  • The distribution of cardiovascular diseases in Tanzania: a spatio-temporal investigation

    Bernada E. Sianga, Maurice C. Mbago, Amina S. Msengwa
    10-09-2024
    https://doi.org/10.4081/gh.2024.1307
    1966
    PDF: 676
    HTML: 156
  • 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
    1750
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    HTML: 25
  • 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
    7928
    PDF: 1395
    HTML: 846
  • Geospatial context of social and environmental factors associated with health risk during temperature extremes: Review and discussion

    Man Sing Wong, Hung Chak Ho, Agnes Tse
    22-06-2020
    https://doi.org/10.4081/gh.2020.814
    1854
    PDF: 997
    Appendix: 184
    HTML: 31
  • 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
    2907
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    1414
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  • A geographical information system for the management of the aquaculture data in the Adriatic Sea - the Strengthening of Centres for Aquaculture Production and Safety surveillance in the Adriatic countries experience: Present capabilities, tools and functions

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    APPENDIX: 367
    HTML: 846
1 - 86 of 86 items

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Geospatial Health
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Vol. 20 No. 2 (2025)
Promoting sustainable health equity: accessibility analysis and optimization of tertiary hospital networks in China’s metropolitan areas
Jiarui Han et al.
7 October 2025
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
Vol. 20 No. 2 (2025)
Spatial autocorrelation patterns and factors associated with regular alcohol consumption behaviour among Thai men
Naowarat Maneenin et al.
26 September 2025

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