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  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

  3258

  PDF: 1442

  HTML: 1225
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  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

  2040

  PDF: 1024

  HTML: 158
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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

  779

  PDF: 323

  Supplementary materials: 75

  HTML: 19
• 

  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

  1749

  PDF: 962

  Appendix: 138

  HTML: 79
• 

  Geographically weighted regression for modelling the accessibility to the public hospital network in Concepción Metropolitan Area, Chile

  Marcela Martínez Bascuñán, Carolina Rojas Quezada

  22-11-2016

  https://doi.org/10.4081/gh.2016.451

  3918

  PDF: 1850

  HTML: 2184
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  Spatial analysis and modelling of depression relative to social vulnerability index across the United States

  Kiara M. Rivera, Abolfazl Mollalo

  01-09-2022

  https://doi.org/10.4081/gh.2022.1132

  4966

  PDF: 2179

  HTML: 577
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  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

  3180

  PDF: 1669

  HTML: 193
• 

  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

  1975

  PDF: 904

  HTML: 30
• 

  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

  1589

  PDF: 807

  HTML: 76
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  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

  9498

  PDF: 4441

  HTML: 2227
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  Spatial distribution and identifying biochemical factors affecting haemoglobin levels among women of reproductive age for each province in Indonesia: A geospatial analysis

  Muhammad Nur Aidi, Fitrah Ernawati, Efriwati Efriwati, Nunung Nurjanah, Rika Rachmawati, Elisa Diana Julianti, Dian Sundari, Fifi Retiaty, Anwar Fitrianto, Khalilah Nurfadilah, Aya Yuriestia Arifin

  30-11-2022

  https://doi.org/10.4081/gh.2022.1118

  2174

  PDF: 1089

  HTML: 70
• 

  Spatial analysis of the regional variation of hypertensive disease mortality and its socio-economic correlates in South Korea

  Seong-Yong Park, Jin-Mi Kwak, Eun-Won Seo, Kwang-Soo Lee

  31-05-2016

  https://doi.org/10.4081/gh.2016.420

  3074

  PDF: 1763

  HTML: 1382
• 

  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

  2216

  PDF: 672

  HTML: 95
• 

  Assessing spatial inequalities in accessing community pharmacies: a mixed geographically weighted approach

  Alexander Domnich, Lucia Arata, Daniela Amicizia, Alessio Signori, Roberto Gasparini, Donatella Panatto

  16-11-2016

  https://doi.org/10.4081/gh.2016.457

  3405

  PDF: 1808

  HTML: 1327
• 

  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

  2114

  PDF: 927

  HTML: 115
• 

  Does mobility restriction significantly control infectious disease transmission? Accounting for non-stationarity in the impact of COVID-19 based on Bayesian spatially varying coefficient models

  I Gede Nyoman Mindra Jaya, Anna Chadidjah, Farah Kristiani, Gumgum Darmawan, Jane Christine Princidy

  25-05-2023

  https://doi.org/10.4081/gh.2023.1161

  1414

  PDF: 587

  HTML: 20
• 

  Spatial analysis of the relationship between out-of-pocket expenditure and socioeconomic status in South Korea

  Young-Gyu Kwon, Man-Kyu Choi

  25-05-2023

  https://doi.org/10.4081/gh.2023.1175

  1434

  PDF: 791

  HTML: 52

• 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

  2472

  PDF: 685

  HTML: 58

• 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

  8420

  PDF: 1575

  HTML: 879
• 

  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

  2078

  PDF: 936

  HTML: 34
• 

  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

  287

  PDF: 127

  HTML: 5

• 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

  2732

  PDF: 784

  HTML: 95
• 

  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

  1482

  PDF: 700

  Supplementary Materials: 119

  HTML: 19
• 

  Dengue risk-mapping in an Amazonian locality in Colombia based on regression and multi-criteria analysis

  Maria Camila Lesmes , Alvaro Ávila-Díaz, Erika Santamaría, Carlos Andrés Morales , Horacio Cadena, Patricia Fuya, Nicolas Frutos, Ximena Porcasi, Catalina Marceló-Díaz

  04-06-2025

  https://doi.org/10.4081/gh.2025.1292

  1724

  PDF: 454

  HTML: 51
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  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

  913

  PDF: 313

  HTML: 36
• 

  Estimating small area health-related characteristics of populations: a methodological review

  Azizur Rahman

  08-05-2017

  https://doi.org/10.4081/gh.2017.495

  4363

  PDF: 1970

  HTML: 1370
• 

  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

  5397

  PDF: 2662

  HTML: 798

• 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

  288

  PDF: 162

  Supplementary materials: 25

  HTML: 7
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  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

  2682

  PDF: 535

  HTML: 50
• 

  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

  3485

  PDF: 1177

  HTML: 826
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  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

  7271

  PDF: 2530

  APPENDIX: 1179

  HTML: 5409
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  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

  1327

  PDF: 443

  HTML: 22
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  The geographic environment and the frequency of falling: a study of mortality outcomes in elderly people in China

  Yi Huang, Chen Li, Xianjing Lu, Yue Wang

  25-05-2023

  https://doi.org/10.4081/gh.2023.1180

  979

  PDF: 579

  HTML: 14
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  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

  3234

  PDF: 1157

  HTML: 36

• When homogeneity meets heterogeneity: the geographically weighted regression with spatial lag approach to prenatal care utilisation

  Carla Shoff, Vivian Yi-Ju Chen, Tse-Chuan Yang

  557-568

  01-05-2014

  https://doi.org/10.4081/gh.2014.45

  2625

  PDF: 1206
• 

  A spatial lag model analysis of lung cancer incidence and satellite-derived data on air pollution in Thailand from 2020 to 2023

  Wasana Silangam, Amornrat Luenam

  14-11-2025

  https://doi.org/10.4081/gh.2025.1424

  619

  PDF: 338

  HTML: 7
• 

  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

  2285

  PDF: 696

  HTML: 90
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  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

  1952

  PDF: 1107

  HTML: 60
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  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

  2365

  PDF: 698

  HTML: 79
• 

  Spatial analysis of the AIDS mortality rate among young people in a province of the Brazilian Amazon: An ecological study

  Sara Melissa Lago Sousa, Andrey Oeiras Pedroso , Iaron Leal Seabra , Glenda Roberta Oliveira Naiff Ferreira, Aline Maria Pereira Cruz Ramos , Sandra Helena Isse Polaro, Eliã Pinheiro Botelho

  29-11-2022

  https://doi.org/10.4081/gh.2022.1102

  1103

  PDF: 893

  HTML: 19
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  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

  2332

  PDF: 903

  HTML: 52
• 

  Physical inactivity displays a mediator role in the association of diabetes and poverty: A spatiotemporal analysis

  Lung-Chang Chien, Xiao Li, Amanda Staudt

  03-11-2017

  https://doi.org/10.4081/gh.2017.528

  2895

  PDF: 993

  HTML: 794

• Exploring recent spatial patterns of cutaneous leishmaniasis and their associations with climate in some countries of the Middle East using geographical information systems

  Salahuddin M. Jaber, Jwan H. Ibbini, Nawal S. Hijjawi, Nafn M. Amdar, Mohammed J. Huwail, Khalid Al-Aboud

  143-158

  01-11-2013

  https://doi.org/10.4081/gh.2013.62

  2270

  PDF: 1070

• Identifying geographical variations in poverty-obesity relationships: empirical evidence from Taiwan

  Tzai-Hung Wen, Duan-Rung Chen, Meng-Ju Tsai

  257-265

  01-05-2010

  https://doi.org/10.4081/gh.2010.205

  3708

  PDF: 1635
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  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

  1596

  PDF: 744

  HTML: 73
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  Vulnerability to COVID-19 in Pernambuco, Brazil: A geospatial evaluation supported by multiple-criteria decision aid methodology

  Ciro José Jardim de Figueiredo, Caroline Maria de Miranda Mota, Amanda Gadelha Ferreira Rosa, Arthur Pimentel Gomes de Souza, Simone Maria da Silva Lima

  14-01-2022

  https://doi.org/10.4081/gh.2022.1000

  2702

  PDF: 560

  HTML: 56
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  Simulation of the spatial distribution of urban populations based on first-aid call data

  Yinan Zhou, Qin Zhong Zhu, Li Luo

  29-12-2020

  https://doi.org/10.4081/gh.2020.768

  1585

  PDF: 644

  HTML: 35
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  Prediction of dengue cases using the attention-based long short-term memory (LSTM) approach

  Mokhalad A. Majeed, Helmi Z. M. Shafri, Aimrun Wayayok, Zed Zulkafli

  25-05-2023

  https://doi.org/10.4081/gh.2023.1176

  2810

  PDF: 1221

  Supplementary Materials: 194

  HTML: 110
• 

  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

  8347

  PDF: 3513

  HTML: 2701
• 

  Spatial variability of mother-to-child human immunodeficiency virus transmission in a province in the Brazilian Rainforest: An ecological study

  Marcus Matheus Quadros Santos, Bianca Alessandra Gomes do Carmo, Taymara Barbosa Rodrigues, Bruna Rafaela Leite Dias, Cleyton Abreu Martins, Glenda Roberta Oliveira Naiff Ferreira, Andressa Tavares Parente, Cíntia Yollete Urbano Pauxis Aben-Atha, Sandra Helena Isse Polaro, Eliã Pinheiro Botelho

  29-11-2022

  https://doi.org/10.4081/gh.2022.1101

  1092

  PDF: 926

  HTML: 25

• Hospital distribution in a metropolitan city: assessment by a geographical information system grid modelling approach

  Kwang-Soo Lee, Kyeong-Jun Moon

  537-544

  01-05-2014

  https://doi.org/10.4081/gh.2014.43

  1995

  PDF: 1223
• 

  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

  1341

  PDF: 565

  HTML: 90
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  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

  2030

  PDF: 900

  HTML: 37
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  The geo-spatial perspective of biological, social and environmental determinants of early pregnancy anaemia in rural Sri Lanka: Need for context-specific approaches on prevention

  Gayani Shashikala Amarasinghe, Thilini Chanchala Agampodi, Vasana Mendis, Suneth Buddhika Agampodi

  29-11-2022

  https://doi.org/10.4081/gh.2022.1110

  1559

  PDF: 962

  HTML: 41
• 

  Modelling youth pregnancy in continental Portugal through geographically weighted regression

  João David, Pedro Cabral

  14-05-2019

  https://doi.org/10.4081/gh.2019.680

  1867

  PDF: 1011

  APPENDIX: 340

  HTML: 158
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  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

  4055

  PDF: 1944

  APPENDIX: 482

  HTML: 292
• 

  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

  1600

  PDF: 915

  HTML: 130

• Spatial-temporal risk factors in the occurrence of rabies in Mexico

  Reyna Ortega-Sánchez, Isabel Bárcenas-Reyes, Jesús Luna-Cozar, Edith Rojas-Anaya, José Quintín Cuador-Gil, Germinal Jorge Cantó-Alarcón, Nerina Veyna-Salazar, Sara González-Ruiz, Feliciano Milián-Suazo

  30-01-2024

  https://doi.org/10.4081/gh.2024.1245

  4628

  PDF: 1388

  HTML: 1073
• 

  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

  1686

  PDF: 910

  Supplementary Materials: 143

  HTML: 69
• 

  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

  2609

  PDF: 1405

  HTML: 1032
• 

  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

  1793

  PDF: 607

  HTML: 44
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  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

  2498

  PDF: 1119

  HTML: 675
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  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

  1344

  PDF: 670

  HTML: 338
• 

  Geospatial modelling to estimate the territory at risk of establishment of influenza type A in Mexico - An ecological study

  Enrique Ibarra-Zapata, Darío Gaytán-Hernández, Verònica Gallegos-García, Claudia Elena González-Acevedo, Thuluz Meza-Menchaca, María Judith Rios-Lugo, Héctor Hernández-Mendoza

  14-05-2021

  https://doi.org/10.4081/gh.2021.956

  2100

  PDF: 663

  HTML: 35
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  Use of geographical information systems for delimiting health service areas in China

  Xuechen Xiong, Li Luo

  11-05-2017

  https://doi.org/10.4081/gh.2017.486

  2386

  PDF: 1177

  HTML: 1028