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  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

  3190

  PDF: 1856

  HTML: 1385

• 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

  6638

  PDF: 1209

  HTML: 1145

• The distribution of cardiovascular diseases in Tanzania: a spatio-temporal investigation

  Bernada E. Sianga, Maurice C. Mbago, Amina S. Msengwa

  10-09-2024

  https://doi.org/10.4081/gh.2024.1307

  3279

  PDF: 1000

  HTML: 266
• 

  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

  5670

  PDF: 2825

  HTML: 819
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  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

  1911

  PDF: 1036

  Appendix: 166

  HTML: 85
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  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

  1094

  PDF: 483

  HTML: 46
• 

  Nonlinear analysis of factors influencing public health in China based on machine learning

  Dehong Sun, Hui Wang

  16-03-2026

  https://doi.org/10.4081/gh.2026.1450

  414

  PDF: 323

  HTML: 15
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  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

  4317

  PDF: 2063

  HTML: 1510
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  Spatial risk of hypertension in rural China: modelling the effect of dietary, behavioural and climate factors

  Jie Wang, Enwei Zhang, Kun Yang

  23-07-2026

  https://doi.org/10.4081/gh.2026.1498

  255

  PDF: 128

  HTML: 0
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  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

  3023

  PDF: 1147

  HTML: 819