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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

  3386

  PDF: 1472

  HTML: 1230
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  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

  2122

  PDF: 958

  HTML: 40
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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

  864

  PDF: 373

  Supplementary materials: 90

  HTML: 28
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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

  3441

  PDF: 1759

  HTML: 215
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  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

  1488

  PDF: 633

  HTML: 31
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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

  1423

  PDF: 506

  HTML: 39
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  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

  1745

  PDF: 864

  HTML: 88
• 

  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

  8595

  PDF: 3580

  HTML: 2717

• 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

  2584

  PDF: 738

  HTML: 62
• 

  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

  1029

  PDF: 348

  HTML: 39
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  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

  5617

  PDF: 2747

  HTML: 814
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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

  3315

  PDF: 1348

  Supplementary Materials: 207

  HTML: 135
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  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

  1262

  PDF: 759

  HTML: 43
• 

  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

  2114

  PDF: 1164

  HTML: 68
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  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

  1622

  PDF: 739

  Supplementary Materials: 130

  HTML: 24
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  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

  2216

  PDF: 991

  HTML: 49
• 

  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

  1980

  PDF: 501

  HTML: 63
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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

  2346

  PDF: 997

  HTML: 99

• 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

  8658

  PDF: 1637

  HTML: 886
• 

  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

  677

  PDF: 223

  HTML: 11
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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

  3349

  PDF: 1199

  HTML: 42
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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

  3209

  PDF: 655

  HTML: 91
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  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

  750

  PDF: 297

  Supplementary materials: 35

  HTML: 13
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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

  1856

  PDF: 816

  HTML: 80
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  Post-pandemic COVID-19 estimated and forecasted hotspots in the Association of Southeast Asian Nations (ASEAN) countries in connection to vaccination rate

  I Gede Nyoman Mindra Jaya, Yudhie Andriyana, Bertho Tantular

  22-03-2022

  https://doi.org/10.4081/gh.2022.1070

  1672

  PDF: 628

  HTML: 43
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  Mapping malaria risk using geographic information systems and remote sensing: The case of Bahir Dar City, Ethiopia

  Amare Sewnet Minale, Kalkidan Alemu

  07-05-2018

  https://doi.org/10.4081/gh.2018.660

  7471

  PDF: 2594

  HTML: 1244
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  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

  1071

  PDF: 474

  Supplementary materials: 90

  HTML: 20
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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

  2990

  PDF: 1276

  HTML: 707
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  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

  1923

  PDF: 644

  HTML: 48
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  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

  3022

  PDF: 1036

  HTML: 807
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  Modelling homogeneous regions of social vulnerability to malaria in Rwanda

  Jean Pierre Bizimana, Stefan Kienberger, Michael Hagenlocher, Emmanuel Twarabamenye

  31-03-2016

  https://doi.org/10.4081/gh.2016.404

  3946

  PDF: 1922

  HTML: 2264
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  Risk discrepancies in COVID-19-related community environments based on spatiotemporal monitoring

  Jihong Zhang, Guohua Yin, Qiuhua Zhang, Juan Fang, Duo Jiang, Chao Yang, Na Sun

  28-04-2025

  https://doi.org/10.4081/gh.2025.1286

  1552

  PDF: 474

  HTML: 102
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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

  1677

  PDF: 684

  HTML: 42
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  Association of city-level walkability, accessibility to biking and public transportation and socio-economic features with COVID-19 infection in Massachusetts, USA: An ecological study

  Yucheng Wang, Thomas C. Tsai, Dustin T. Duncan, John Ji

  14-01-2022

  https://doi.org/10.4081/gh.2022.1017

  5877

  PDF: 1140

  Appendix: 461

  HTML: 57

• 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

  4886

  PDF: 1473

  HTML: 1120
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  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

  2600

  PDF: 896

  Supplementary materials: 223

  HTML: 117