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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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  • 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
    7547
    PDF: 3031
    HTML: 2647
  • 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
    6229
    PDF: 838
    Supplementary Materials: 84
    HTML: 82
  • 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
    2295
    PDF: 1010
    HTML: 127
  • 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
    4790
    PDF: 1760
    HTML: 1926
  • Public domain small-area cancer incidence data for New York State, 2005-2009

    Francis P. Boscoe, Thomas O. Talbot, Martin Kulldorff
    18-04-2016
    https://doi.org/10.4081/gh.2016.304
    1934
    PDF: 1045
    HTML: 858
  • 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
    2391
    PDF: 1181
    HTML: 1025
  • 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
    1420
    PDF: 742
    HTML: 114
  • Geographic access to radiation therapy facilities and disparities of early-stage breast cancer treatment

    Yan Lin, Michael C. Wimberly, Patricia Da Rosa, Joseph Hoover, William F. Athas
    07-05-2018
    https://doi.org/10.4081/gh.2018.622
    3299
    PDF: 1196
    HTML: 361
  • 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
    3509
    PDF: 754
    HTML: 717
  • 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
    1334
    PDF: 733
    HTML: 28
  • 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
    1557
    PDF: 769
    SUPPLEMENTARY: 332
    HTML: 131
  • 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
    2272
    PDF: 1474
    HTML: 961
  • 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
    3258
    PDF: 1050
    HTML: 815
  • 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
    1292
    PDF: 554
    HTML: 6
  • 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
    6763
    PDF: 2268
    APPENDIX: 1076
    HTML: 5093
  • Optimizing allocation of colorectal cancer screening hospitals in Shanghai: a geospatial analysis

    Jiaqi Huang, Yichen Chen, Gu Liu, Wei Tu, Robert Bergquist, Michael P. Ward, Jun Zhang, Shuang Xiao, Jie Hong, Zheng Zhao, Xiaopan Li, Zhijie Zhang
    03-07-2023
    https://doi.org/10.4081/gh.2023.1152
    1526
    PDF: 785
    Supplementary Materials: 72
    HTML: 19
  • Disease mapping and spatio-temporal analysis: importance of expected-case computation criteria

    Gonzalo Lòpez-Abente, Nuria Aragonés, Javier García-Pérez, Pablo Fernández- Navarro
    27-35
    01-11-2014
    https://doi.org/10.4081/gh.2014.3
    3146
    PDF: 1514
  • 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
    2116
    PDF: 1487
    HTML: 1139
  • Bayesian spatio-temporal modelling of tobacco-related cancer mortality in Switzerland

    Verena Jürgens, Silvia Ess, Harish C. Phuleria, Martin Früh, Matthias Schwenkglenks, Harald Frick, Thomas Cerny, Penelope Vounatsou
    219-236
    01-05-2013
    https://doi.org/10.4081/gh.2013.82
    3298
    PDF: 1176
  • Increased cancer mortality in Taiwanese inter-island migrants

    Meng-Kan Chen, Hsiu-Hsi Chen
    251-263
    01-05-2013
    https://doi.org/10.4081/gh.2013.84
    1251
    PDF: 747
  • Resources allocation in healthcare for cancer: a case study using generalised additive mixed models

    Monica Musio, Erik A. Sauleau, Nicole H. Augustin
    83-89
    01-11-2012
    https://doi.org/10.4081/gh.2012.107
    1765
    PDF: 846
  • A geographical information system-based analysis of cancer mortality and population exposure to coal mining activities in West Virginia, United States of America

    Michael Hendryx, Evan Fedorko, Andrew Anesetti-Rothermel
    243-256
    01-05-2010
    https://doi.org/10.4081/gh.2010.204
    3469
    PDF: 1671
  • 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
    1955
    PDF: 1434
    APPENDIX: 529
    HTML: 1032
  • Spatial and temporal characteristics of cancer in the period from 2004 to 2013 in the Hashemite Kingdom of Jordan

    Salahuddin M. Jaber, Jwan H. Ibbini, Nawal S. Hijjawi, Juhina J. Thnaibat, Omar F. Nimri
    09-11-2018
    https://doi.org/10.4081/gh.2018.695
    1576
    PDF: 719
    HTML: 35
  • 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
    2501
    PDF: 927
    HTML: 44
  • Cluster detection of diseases in heterogeneous populations: an alternative to scan methods

    Rebeca Ramis, Diana Gomez-Barroso, Gonzalo Lòpez-Abente
    517-526
    01-05-2014
    https://doi.org/10.4081/gh.2014.41
    1668
    PDF: 939
  • CutL: an alternative to Kulldorff's scan statistics for cluster detection with a specified cut-off level

    Barbara Więckowska, Justyna Marcinkowska
    06-11-2017
    https://doi.org/10.4081/gh.2017.556
    2202
    PDF: 585
    HTML: 885
  • Impact of spatial aggregation error on the spatial scan analysis: a case study of colorectal cancer

    Lan Luo
    23-35
    01-11-2013
    https://doi.org/10.4081/gh.2013.51
    1307
    PDF: 743
  • Spatial clusters of life expectancy and association with cardiovascular disease mortality and cancer mortality in the contiguous United States: 1980-2014

    Raid W. Amin, Julia Steinmetz
    14-05-2019
    https://doi.org/10.4081/gh.2019.733
    1934
    PDF: 953
    HTML: 72
  • Geo-epidemiological reporting and spatial clustering of the 10 most prevalent cancers in Iran

    Ebrahim Babaee, Gholamreza Roshandel, Meysam Olfatifar, Arash Tehrani-Banihashemi; Arezou Ashaari; Marzieh Nojomi
    11-05-2021
    https://doi.org/10.4081/gh.2021.904
    2130
    PDF: 834
    HTML: 146
  • 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
    3512
    PDF: 1616
    APPENDIX: 317
    HTML: 214
  • An analysis of the process and results of manual geocode correction

    Yolanda J. McDonald, Michael Schwind, Daniel W. Goldberg, Amanda Lampley, Cosette M. Wheeler
    11-05-2017
    https://doi.org/10.4081/gh.2017.526
    2145
    PDF: 847
    HTML: 973
  • 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
    3329
    PDF: 1028
    HTML: 847
  • 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
    1560
    PDF: 295
    HTML: 71
  • 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
    2561
    PDF: 898
  • 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
    2139
    PDF: 1291
    HTML: 918
  • Point process methods in epidemiology: application to the analysis of human immunodeficiency virus/acquired immunodeficiency syndrome mortality in urban areas

    Jose Antonio Quesada, Inmaculada Melchor, Andreu Nolasco
    26-05-2017
    https://doi.org/10.4081/gh.2017.506
    1649
    PDF: 839
    HTML: 1020
  • Trend and spatial analysis of prostate cancer mortality in the state of Sergipe, Brazil

    José Augusto Passos Gòes, Danilo de Gois Souza, Lucas Almeida Andrade, Jéssica Cunha, Simone Kameo, Marco Aurélio O. Gòes, Andreia Freire de Menezes, Marco Antônio P. Nunes, Karina Conceiçao Gomes Machado de Araújo, Allan D. Santos
    12-11-2018
    https://doi.org/10.4081/gh.2018.732
    2064
    PDF: 1035
    HTML: 63
  • A statistical approach to rank multiple priorities in Environmental Epidemiology: an example from high-risk areas in Sardinia, Italy

    Dolores Catelan, Annibale Biggeri
    81-89
    01-11-2008
    https://doi.org/10.4081/gh.2008.234
    1366
    PDF: 713
  • 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
    2277
    PDF: 1152
  • A descriptive and model-based spatial comparison of the standardised mortality ratio and the age-standardised mortality rate

    Sibylle Sturtz, Katja Ickstadt
    255-266
    01-05-2007
    https://doi.org/10.4081/gh.2007.273
    1363
    PDF: 825
  • A multi-stage approach to maximizing geocoding success in a large population-based cohort study through automated and interactive processes

    Jennifer S. Sonderman, Michael T. Mumma, Sarah S. Cohen, Elizabeth L. Cope, William J. Blot, Lisa B. Signorello
    273-284
    01-05-2012
    https://doi.org/10.4081/gh.2012.145
    1910
    PDF: 692
  • Multiple testing in disease mapping and descriptive epidemiology

    Dolores Catelan, Annibale Biggeri
    219-229
    01-05-2010
    https://doi.org/10.4081/gh.2010.202
    1405
    PDF: 834
  • Geographical distribution and spatio-temporal patterns of hospitalization due to dengue infection at a leading specialist hospital in Malaysia

    Gary K.K. Low, Panayoti Papapreponis, Ridzuan M. Isa, Seng Chiew Gan, Hui Yee Chee, Kian Keong Te, Nadia M. Hatta
    07-05-2018
    https://doi.org/10.4081/gh.2018.642
    2202
    PDF: 866
    APPENDIX: 382
    HTML: 102
  • 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
    1173
    PDF: 639
  • Monitoring the cluster of high-risk mortality areas in the southwest of Spain

    Maria Buxò-Pujolrás, José Miguel Martínez, Yutaka Yasui, Carme Borrell, Juan Carlos Martín, Montserrat Vergara, Marta Cervantes, Joan Benach
    73-81
    01-11-2012
    https://doi.org/10.4081/gh.2012.106
    1229
    PDF: 694
  • Spatio-temporal dynamics of schistosomiasis in Rwanda between 2001 and 2012: impact of the national Neglected Tropical Disease control programme

    Elias Nyandwi, Tom Veldkamp, Frank Badu Osei, Sherif Amer
    08-05-2017
    https://doi.org/10.4081/gh.2017.514
    3208
    PDF: 1068
    HTML: 1063
  • Colorectal cancer risk factors in north-eastern Iran: A retrospective cross-sectional study based on geographical information systems, spatial autocorrelation and regression analysis

    Ladan Goshayeshi, Ali Pourahmadi, Majid Ghayour-Mobarhan, Soheil Hashtarkhani, Sajad Karimian, Reza Shahhosein Dastjerdi, Babak Eghbali, Efat Seyfi, Behzad Kiani
    06-11-2019
    https://doi.org/10.4081/gh.2019.793
    3937
    PDF: 1424
    HTML: 58
  • 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
    1387
    PDF: 804
    Appendix: 79
    HTML: 68
  • 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
    2025
    PDF: 833
    HTML: 31
  • Spatial cluster analysis of COVID-19 in Malaysia (Mar-Sep, 2020)

    Sami Ullah, Nurul Hidayah Mohd Nor, Hanita Daud, Nooraini Zainuddin, Muhammad Salim Javed Gandapur, Iftikhar Ali, Alamgir Khalil
    05-05-2021
    https://doi.org/10.4081/gh.2021.961
    3598
    PDF: 1434
    HTML: 77
  • Searching for space-time clusters: The CutL method compared to Kulldorff's scan statistic

    Barbara WiÄ™ckowska, Ilona Gòrna, Maciej Trojanowski, Agata Pruciak, Barbara StawiÅ„ska-WitoszyÅ„ska
    06-11-2019
    https://doi.org/10.4081/gh.2019.791
    1212
    PDF: 645
    HTML: 148
  • 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
    2729
    PDF: 763
    HTML: 812
  • Differences in spatial patterns of long-term care depending on severity in Hokkaido, Japan

    Kazuki Ohashi, Kensuke Fujiwara, Takumi Tanikawa, Kyohei Bando, Tomohiro Aoki, Katsuhiko Ogasawara
    16-05-2022
    https://doi.org/10.4081/gh.2022.1077
    1249
    PDF: 507
    HTML: 27
  • Performance of a negative binomial-GLM in spatial scan statistic: a case study of low-birth weights in Pakistan

    Sami Ullah, Mushtaq Ahmad Khan Barakzai, Tianfa Xie
    03-09-2024
    https://doi.org/10.4081/gh.2024.1313
    1019
    PDF: 403
    HTML: 91
  • 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
    3551
    PDF: 1155
    Appendix: 160
    HTML: 522
  • 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
    3328
    PDF: 990
    HTML: 1066
  • Assessing bias associated with geocoding of historical residence in epidemiology research

    Daikwon Han, Matthew R. Bonner, Jing Nie, Jo L. Freudenheim
    369-374
    01-05-2013
    https://doi.org/10.4081/gh.2013.93
    1783
    PDF: 990
  • Spatiotemporal patterns of mortality associated with chronic non-communicable diseases and child malnutrition at the municipal level in Mexico

    José Mauricio Galeana-Pizaña, Leslie Verdeja-Vendrell, Lizbeth Ixchel Díaz-Trejo, Carlos Anzaldo, Daniela Figueroa, Aldo Daniel Jiménez-Ortega
    17-05-2022
    https://doi.org/10.4081/gh.2022.1087
    1300
    PDF: 637
    Appendix: 97
    HTML: 56
  • 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
    2158
    PDF: 901
    HTML: 87
  • Satellite-based forest monitoring: spatial and temporal forecast of growing index and short-wave infrared band

    Caroline Bayr, Heinz Gallaun, Ulrike Kleb, Birgit Kornberger, Martin Steinegger, Martin Winter
    18-04-2016
    https://doi.org/10.4081/gh.2016.310
    2172
    PDF: 1170
    HTML: 2011
  • Colorectal cancer screening participation: Exploring relationship heterogeneity and scale differences using multiscale geographically weighted regression

    Alistair Geddes, A. Stewart Fotheringham, Gillian Libby, Robert J.C. Steele
    11-05-2021
    https://doi.org/10.4081/gh.2021.967
    1737
    PDF: 729
    HTML: 15
  • 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
    4100
    PDF: 1901
  • 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
    1444
    PDF: 400
    HTML: 19
  • Space-time scan statistics of 2007-2013 dengue incidence in Cimahi city, Indonesia

    Pandji Wibawa Dhewantara, Andri Ruliansyah, M. Ezza Azmi Fuadiyah, Endang Puji Astuti, Mutiara Widawati
    27-11-2015
    https://doi.org/10.4081/gh.2015.373
    5094
    PDF: 1712
    HTML: 1016
  • 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
    2790
    PDF: 954
    HTML: 34
  • 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
    806
    PDF: 381
    HTML: 61
  • Spatial analysis of the regional variation of reproductive tract infections and spousal migration correlates in Nepal

    Derek C. Johnson, Pema Lhaki, Charlotte Buehler Cherry, Mirjam-Colette Kempf, Eric Chamot, Sten H. Vermund, Sadeep Shrestha
    30-05-2017
    https://doi.org/10.4081/gh.2017.513
    2205
    PDF: 950
    HTML: 896
  • 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
    831
    PDF: 230
    Supplementary Materials: 111
    HTML: 70
  • 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
    3476
    PDF: 1382
    SUPPL. MATERIAL: 389
    HTML: 1078
  • 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
    1296
    PDF: 757
  • Spatial access to public hospitals during COVID-19 in Nottinghamshire, UK

    Jishuo Zhang, Meifang Li
    29-11-2022
    https://doi.org/10.4081/gh.2022.1123
    853
    PDF: 624
    HTML: 60
  • 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
    3228
    PDF: 1350
    HTML: 1239
  • 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
    2955
    PDF: 968
    HTML: 68
  • Modelling geographical heterogeneity of diabetes prevalence and socio-economic and built environment determinants in Saudi City - Jeddah

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Geospatial Health
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Geospatial Health

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