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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

  791

  PDF: 329

  Supplementary materials: 77

  HTML: 21
• 

  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

  8392

  PDF: 3518

  HTML: 2705
• 

  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

  342

  PDF: 179

  Supplementary materials: 25

  HTML: 8
• 

  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

  5412

  PDF: 2663

  HTML: 800
• 

  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

  6371

  PDF: 2635

  HTML: 3131
• 

  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

  1881

  PDF: 427

  HTML: 105
• 

  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

  2117

  PDF: 927

  HTML: 116
• 

  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

  7287

  PDF: 2532

  APPENDIX: 1181

  HTML: 5418
• 

  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

  4373

  PDF: 2303

  HTML: 2204
• 

  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

  2855

  PDF: 1968

  HTML: 398
• 

  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

  3079

  PDF: 1121

  Supplementary Materials: 277

  HTML: 70
• 

  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

  3691

  PDF: 1891

  HTML: 2253
• 

  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

  1753

  PDF: 1137

  Appendix: 154

  HTML: 213
• 

  Spatial autocorrelation patterns and factors associated with regular alcohol consumption behaviour among Thai men

  Naowarat Maneenin, Warangkana Sungsitthisawad, Chanwit Maneenin, Chananya Jirapornkul, Kittipong Sornlorm, Roshan Kumar Mahato, Wongsa Laohasiriwong

  26-09-2025

  https://doi.org/10.4081/gh.2025.1406

  679

  PDF: 372

  HTML: 23
• 

  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

  1333

  PDF: 444

  HTML: 25
• 

  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

  1860

  PDF: 982

  HTML: 171
• 

  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

  2488

  PDF: 1096

  HTML: 110
• 

  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

  1174

  PDF: 911

  HTML: 80
• 

  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

  329

  PDF: 144

  HTML: 6
• 

  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

  2389

  PDF: 811

  HTML: 79
• 

  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

  1060

  PDF: 733

  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

  1761

  PDF: 965

  Appendix: 139

  HTML: 80
• 

  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

  1693

  PDF: 669

  HTML: 47
• 

  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

  1488

  PDF: 702

  Supplementary Materials: 119

  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

  3835

  PDF: 1818

  HTML: 760

• 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

  1377

  PDF: 632

  HTML: 157
• 

  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

  3790

  PDF: 1709

  HTML: 1209
• 

  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

  3736

  PDF: 1358

  HTML: 1154
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  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

  2291

  PDF: 1130

  HTML: 914
• 

  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

  1987

  PDF: 905

  HTML: 31
• 

  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

  583

  PDF: 302

  HTML: 11
• 

  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

  2119

  PDF: 1114

  HTML: 101
• 

  Optimizing mobile mammography deployment in Oklahoma 2024: a two-step floating catchment area approach

  Janis E. Campbell, Amanda Janitz, Ayesha B. Sambo, Nubwa St. James, Stephanie F. Pharr, Mark P. Doescher

  21-04-2026

  https://doi.org/10.4081/gh.2026.1426

  141

  PDF: 118

  Supplementary materials: 21

  HTML: 3
• 

  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

  2302

  PDF: 698

  HTML: 94
• 

  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

  2631

  PDF: 790

  HTML: 109
• 

  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

  6151

  PDF: 2362

  HTML: 1647

• 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

  2762

  PDF: 787

  HTML: 97

• 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

  1884

  PDF: 725

  HTML: 123
• 

  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

  3193

  PDF: 1360

  HTML: 1028
• 

  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

  2048

  PDF: 1072

  HTML: 41
• 

  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

  347

  PDF: 203

  Supplementary materials: 28

  HTML: 20
• 

  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

  1975

  PDF: 878

  Annex I-VI: 158

  HTML: 71
• 

  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

  493

  PDF: 238

  HTML: 6
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  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

  2229

  PDF: 966

  HTML: 94
• 

  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

  4213

  PDF: 1840

  HTML: 2262
• 

  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

  838

  PDF: 411

  Supplementary materials: 75

  HTML: 17

• 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

  2837

  PDF: 884

  HTML: 90
• 

  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

  2068

  PDF: 627

  HTML: 105
• 

  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

  3180

  PDF: 1471

  HTML: 1024
• 

  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

  2763

  PDF: 1308

  APPENDIX: 479

  HTML: 1150
• 

  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

  2303

  PDF: 938

  HTML: 122
• 

  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

  1806

  PDF: 609

  HTML: 45
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  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

  2394

  PDF: 1823

  HTML: 1145
• 

  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

  3205

  PDF: 1678

  HTML: 195
• 

  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

  1247

  PDF: 346

  HTML: 49
• 

  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

  2755

  PDF: 1673

  HTML: 208
• 

  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

  9533

  PDF: 4450

  HTML: 2227
• 

  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

  484

  PDF: 338

  HTML: 12
• 

  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

  3265

  PDF: 1444

  HTML: 1226
• 

  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

  473

  PDF: 409

  HTML: 36
• 

  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

  1605

  PDF: 810

  HTML: 78
• 

  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

  2529

  PDF: 1129

  HTML: 677
• 

  MALAREO: a user-driven project

  Michael T. Gebreslasie, Ides Bauwens

  04-11-2015

  https://doi.org/10.4081/gh.2015.329

  2861

  PDF: 1263

  HTML: 1012
• 

  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

  4717

  PDF: 1711

  HTML: 1296
• 

  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

  2348

  PDF: 906

  HTML: 55

• 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

  2487

  PDF: 691

  HTML: 58
• 

  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

  3713

  PDF: 1362

  HTML: 876
• 

  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

  2244

  PDF: 676

  HTML: 95
• 

  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

  945

  PDF: 389

  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

  3163

  PDF: 1818

  HTML: 1393
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  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

  1870

  PDF: 951

  SUPPLEMENTARY: 417

  HTML: 139
• 

  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

  2544

  PDF: 1432

  HTML: 234
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  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

  3963

  PDF: 1602

  HTML: 211
• 

  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

  3491

  PDF: 1242

  HTML: 72
• 

  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

  2242

  PDF: 587

  Supplementary 1: 146

  Supplementary 2: 345

  HTML: 171
• 

  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

  1968

  PDF: 965

  HTML: 349
• 

  A new multidimensional population health indicator for policy makers: absolute level, inequality and spatial clustering - an empirical application using global sub-national infant mortality data

  Benn K.D. Sartorius, Kurt Sartorius

  7-26

  01-11-2014

  https://doi.org/10.4081/gh.2014.2

  3058

  PDF: 1379
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  3130

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  Sandwich mapping of schistosomiasis risk in Anhui Province, China

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  3165

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  1028

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• Aspects of public health development in China’s western region

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  2249

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  The spatial distribution of interleukin-4 (IL-4) reference values in China based on a back propagation (BP) neural network

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  1302

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  4029

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  SUPPL. MATERIAL: 459

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  3927

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  1108

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  1612

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  Appendix: 255

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