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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
  • 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
  • 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
    4824
    PDF: 2204
    HTML: 733
  • 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
    1009
    PDF: 481
    HTML: 104
  • Optimizing vaccination sites for infectious diseases based on heterogeneous travel modes in multiple scenarios

    Wentao Yang, Fengjie Wang, Yihan You, Zhixiong Fang, Xing Wang, Xiaoming Mei
    24-03-2025
    https://doi.org/10.4081/gh.2025.1362
    1325
    PDF: 234
    HTML: 81
  • 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
    2226
    PDF: 708
    Supplementary Materials: 155
    HTML: 58
  • A review of spatial technologies with applications for malaria transmission modelling and control in Africa

    Michael T. Gebreslasie
    26-11-2015
    https://doi.org/10.4081/gh.2015.328
    5864
    PDF: 2322
    HTML: 3064
  • 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
  • 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
    2076
    PDF: 1301
    HTML: 235
  • 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
    505
    PDF: 118
    HTML: 0
  • 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
    878
    PDF: 237
    Supplementary materials: 100
    HTML: 90
  • Perceived spatial stigma, body mass index and blood pressure: a global positioning system study among low-income housing residents in New York City

    Dustin T. Duncan, Ryan R. Ruff, Basile Chaix, Seann D. Regan, James H. Williams, Joseph Ravenell, Marie A. Bragg, Gbenga Ogedegbe, Brian Elbel
    31-05-2016
    https://doi.org/10.4081/gh.2016.399
    3863
    PDF: 1777
    HTML: 1478
  • 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
    4012
    PDF: 2098
    HTML: 2145
  • Local healthcare resources associated with unmet healthcare needs in South Korea: a spatial analysis

    Sang Min Lee, Dong Woo Huh, Young Gyu Kwon
    11-03-2025
    https://doi.org/10.4081/gh.2025.1295
    1586
    PDF: 336
    Supplementary materials: 125
    HTML: 87
  • 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
    912
    PDF: 239
    HTML: 4
  • 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
    3351
    PDF: 1620
    HTML: 2222
  • 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
  • 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
    1287
    PDF: 886
    Appendix: 76
    HTML: 165
  • 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
  • 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
  • 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
    1998
    PDF: 738
    HTML: 110
  • Spatial association and modelling of under-5 mortality in Thailand, 2020

    Suparerk Suerungruang, Kittipong Sornlorm, Wongsa Laohasiriwong, Roshan Kumar Mahato
    31-08-2023
    https://doi.org/10.4081/gh.2023.1220
    1200
    PDF: 674
    HTML: 35
  • 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
    1882
    PDF: 730
    HTML: 105
  • 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
    804
    PDF: 557
    HTML: 19
  • 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
    811
    PDF: 482
    HTML: 32
  • Evaluating the utility of companion animal tick surveillance practices for monitoring spread and occurrence of human Lyme disease in West Virginia, 2014-2016

    Brian Hendricks, Miguella Mark-Carew, Jamison Conley
    13-11-2017
    https://doi.org/10.4081/gh.2017.582
    2396
    PDF: 713
    HTML: 742
  • Assessing the spatial accessibility of hospital care in Sichuan Province, China

    Jay Pan, Huiran Liu, Xiuli Wang, Hongmei Xie, Paul L. Delamater
    27-11-2015
    https://doi.org/10.4081/gh.2015.384
    5111
    PDF: 2075
    HTML: 1618
  • 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
  • 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
    3237
    PDF: 1509
    HTML: 601
  • 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
    1298
    PDF: 474
    HTML: 30
  • Geographic distribution and demographic factors associated with use of a long-acting reversible contraceptive (LARC) in Ethiopia

    Mintesnot Tenkir Teni, Travis Loux, Ness Sandoval, Anne Sebert Kuhlmann
    23-01-2025
    https://doi.org/10.4081/gh.2025.1302
    3190
    PDF: 1153
    HTML: 1139
  • 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
    1109
    PDF: 506
    Supplementary Materials: 45
    HTML: 11
  • 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
  • Geostatistical modelling of the malaria risk in Mozambique: effect of the spatial resolution when using remotely-sensed imagery

    Federica Giardina, Jonas Franke, Penelope Vounatsou
    26-11-2015
    https://doi.org/10.4081/gh.2015.333
    3432
    PDF: 1416
    HTML: 1177
  • A 24-year exploratory spatial data analysis of Lyme disease incidence rate in Connecticut, USA

    Abolfazl Mollalo, Jason K. Blackburn, Lillian R. Morris, Gregory E. Glass
    08-11-2017
    https://doi.org/10.4081/gh.2017.588
    2689
    PDF: 1123
    HTML: 998
  • 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
    1136
    PDF: 626
    Supplementary Materials: 82
    HTML: 22
  • 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
  • Spatial and temporal changes in household structure locations using high-resolution satellite imagery for population assessment: an analysis in southern Zambia, 2006-2011

    Timothy Shields, Jessie Pinchoff, Jailos Lubinda, Harry Hamapumbu, Kelly Searle, Tamaki Kobayashi, Philip E. Thuma, William J. Moss, Frank C. Curriero
    31-05-2016
    https://doi.org/10.4081/gh.2016.410
    2019
    PDF: 873
    HTML: 886
  • The future of general practitioner care in Lower Saxony, Germany: an analysis of actual vs target states using a GIS-based floating catchment area method

    Jonas Schoo, Frank Schüssler
    19-02-2025
    https://doi.org/10.4081/gh.2025.1339
    1830
    PDF: 498
    HTML: 96
  • Access to the COVID-19 services during the pandemic - a scoping review

    Ahmad Raeesi, Behzad Kiani, Azam Hesami, Ladan Goshayeshi, Neda Firouraghi, Shahab MohammadEbrahimi, Soheil Hashtarkhani
    28-03-2022
    https://doi.org/10.4081/gh.2022.1079
    2017
    PDF: 508
    Appendix: 216
    HTML: 98
  • Impact of the presence of private hospitals on the spatial equality of healthcare accessibility in Beijing, China

    Teqi Dai, Kaifei Guo, Juanjuan Zhao, Wenqing Lu
    29-11-2022
    https://doi.org/10.4081/gh.2022.1157
    1424
    PDF: 698
    HTML: 62
  • 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
    904
    PDF: 472
    HTML: 139
  • https://commons.wikimedia.org/wiki/File:Theatre_batna_-_panoramio.jpg

    Identification and analysis of spatial access disparities related to primary healthcare in Batna City, Algeria

    Ahmed Akakba, Belkacem Lahmar
    14-12-2023
    https://doi.org/10.4081/gh.2023.1238
    1437
    PDF: 428
    HTML: 33
  • 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
    1604
    PDF: 473
    HTML: 82
  • Spatial dispersal of Aedes albopictus mosquitoes captured by the modified sticky ovitrap in Selangor, Malaysia

    Muhammad Aidil Roslan, Romano Ngui, Muhammad Fathi Marzuki, Indra Vythilingam, Aziz Shafie, Sabri Musa, Wan Yusoff Wan Sulaiman
    11-05-2022
    https://doi.org/10.4081/gh.2022.1025
    1453
    PDF: 605
    Annex I-VI: 99
    HTML: 58
  • 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
    1535
    PDF: 628
    HTML: 45
  • 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
    1432
    PDF: 407
    HTML: 34
  • 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
    1166
    PDF: 405
    HTML: 83
  • 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
    2196
    PDF: 1178
    HTML: 136
  • Improving AfriPop dataset with settlement extents extracted from RapidEye for the border region comprising South-Africa, Swaziland and Mozambique

    Julie Deleu, Jonas Franke, Michael Gebreslasie, Catherine Linard
    04-11-2015
    https://doi.org/10.4081/gh.2015.336
    2380
    PDF: 977
    HTML: 1097
  • 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
    3638
    PDF: 1736
    HTML: 575
  • 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
    1458
    PDF: 722
    HTML: 54
  • 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
    1169
    PDF: 516
    HTML: 95
  • Spatial patterns of intestinal parasite infections among children and adolescents in some indigenous communities in Argentina

    Carlos Matías Scavuzzo, Micaela Natalia Campero, Rosana Elizabeth Maidana, María Georgina Oberto, María Victoria Periago, Ximena Porcasi
    28-05-2024
    https://doi.org/10.4081/gh.2024.1279
    2303
    PDF: 482
    HTML: 76
  • 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
  • The spatial distribution pattern of human immunodeficiency virus/acquired immune deficiency syndrome in China

    Ying Wang, Yongli Yang, Xuezhong Shi, Saicai Mao, Nian Shi, Xiaoqing Hui
    31-05-2016
    https://doi.org/10.4081/gh.2016.414
    3789
    PDF: 1553
    HTML: 2246
  • 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
    1309
    PDF: 306
    HTML: 27
  • 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
    7069
    PDF: 1264
    Appendix: 102
    HTML: 22
  • 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
  • Metropolitan urban hotspots of chronic sleep deprivation: evidence from a community health survey in Gyeongbuk Province, South Korea

    Sun-Bi Um, Jung-Sup Um
    04-11-2015
    https://doi.org/10.4081/gh.2015.382
    2937
    PDF: 1193
    HTML: 1016
  • 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
    995
    PDF: 507
    HTML: 49
  • MALAREO: a user-driven project

    Michael T. Gebreslasie, Ides Bauwens
    04-11-2015
    https://doi.org/10.4081/gh.2015.329
    2616
    PDF: 1038
    HTML: 973
  • 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
  • Spatio-temporal analysis of leptospirosis in Brazil and its relationship with flooding

    Alice Nardoni Marteli, Laurindo Antonio Guasselli , Décio Diament , Gabriele Ozório Wink , Vitor Vieira Vasconcelos
    29-11-2022
    https://doi.org/10.4081/gh.2022.1128
    2021
    PDF: 1287
    HTML: 176
  • 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
    1921
    PDF: 761
    HTML: 79
  • 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
    2206
    PDF: 472
    HTML: 53
  • 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
    1672
    PDF: 721
    HTML: 25
  • 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
    2221
    PDF: 1157
    HTML: 203
  • 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
    8706
    PDF: 4066
    HTML: 2164
  • Spatial associations between chronic kidney disease and socio-economic factors in Thailand

    Juree Sansuk, Kittipong Sornlorm
    30-01-2024
    https://doi.org/10.4081/gh.2024.1246
    5958
    PDF: 732
    HTML: 875
  • 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
    1829
    PDF: 711
    HTML: 28
  • 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
  • Access to dialysis services: A systematic mapping review based on geographical information systems

    Benyamin Hoseini, Nasser Bagheri, Behzad Kiani, Amirabbas Azizi, Hamed Tabesh, Mahmood Tara
    07-05-2018
    https://doi.org/10.4081/gh.2018.577
    3504
    PDF: 1300
    HTML: 202
  • 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
    1669
    PDF: 801
    HTML: 288
  • 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
    1239
    PDF: 549
    HTML: 39
  • 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
  • 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
    2483
    PDF: 1125
    APPENDIX: 383
    HTML: 1128
  • 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
  • Tuberculosis in Aceh Province, Indonesia: a spatial epidemiological study covering the period 2019–2021

    Farrah Fahdhienie, Frans Yosep Sitepu, Elpiani Br Depari
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Geospatial Health
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Vol. 20 No. 1 (2025)
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Risk discrepancies in COVID-19-related community environments based on spatiotemporal monitoring
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Geospatial Health

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