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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

  3001

  PDF: 1268

  HTML: 1218

• Analysis of spatio-temporal variations in stroke incidence and case-fatality in Hong Kong

  Pui Hing Chau, Jean Woo, William B. Goggins, Moses Wong, Kam Che Chan, Suzanne C. Ho

  13-20

  01-11-2011

  https://doi.org/10.4081/gh.2011.153

  1497

  PDF: 977
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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

  4807

  PDF: 2186

  HTML: 731
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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

  2791

  PDF: 1553

  HTML: 1366
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  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

  1241

  PDF: 493

  HTML: 27
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  Comparison of GPS imputation methods in environmental health research

  Sungsoon Hwang, Kashica Webber-Ritchey, Elizabeth Moxley

  29-08-2022

  https://doi.org/10.4081/gh.2022.1081

  2016

  PDF: 827

  HTML: 31
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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

  3854

  PDF: 1771

  HTML: 1478
• 

  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

  520

  PDF: 135

  HTML: 50
• 

  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

  3607

  PDF: 1725

  HTML: 573
• 

  Investigating local variation in disease rates within high-rate regions identified using smoothing

  Matthew Tuson, Matthew Yap, David Whyatt

  25-05-2023

  https://doi.org/10.4081/gh.2023.1144

  405

  PDF: 262

  Supplementary Materials: 57

  HTML: 5
• 

  Variability of nutrients intake, lipid profile and cardiovascular mortality among geographical areas in Spain: The DRECE study

  Agustín Gòmez de la Cámara, Eva de Andrés Esteban, Gerard Urrútia Cuchí, Enrique Calderòn Sandubete, Miguel Ángel Rubio Herrera, Miguel Menéndez Orenga, David Lora Pablos

  07-11-2017

  https://doi.org/10.4081/gh.2017.524

  1961

  PDF: 725

  HTML: 688
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  Geographic clustering of elderly people with above-norm anthropometric measurements and blood chemistry

  Carlos Mena, Eduardo Fuentes, Yony Ormazábal, Iván Palomo

  11-05-2017

  https://doi.org/10.4081/gh.2017.523

  2710

  PDF: 1100

  HTML: 883
• 

  COVID-19, air quality and space monitoring

  Yves M. Tourre, Mireille Paulin, Gilles Dhonneur, David Attias, Atul Pathak

  06-04-2022

  https://doi.org/10.4081/gh.2022.1052

  1432

  PDF: 392

  HTML: 19
• 

  Quantifying altitude of human habitation in studies of human health using geographical name server data

  Stephen Thielke, Christopher G. Slatore, William A. Banks

  21-11-2016

  https://doi.org/10.4081/gh.2016.463

  1352

  PDF: 707

  HTML: 789
• 

  A geospatial model to determine the spatial cost-efficiency of anticoagulation drug therapy: Patients' perspective

  Mikko Pyykönen, Aapeli Leminen, Juho Tynkkynen, Markku Tykkyläinen, Tiina Laatikainen

  06-11-2019

  https://doi.org/10.4081/gh.2019.809

  1839

  PDF: 745

  HTML: 26

• 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

  1674

  PDF: 502

  HTML: 140
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  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

  2475

  PDF: 1114

  APPENDIX: 381

  HTML: 1128
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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

  1543

  PDF: 761

  SUPPLEMENTARY: 326

  HTML: 131

• 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

  2076

  PDF: 405

  HTML: 49
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  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

  2992

  PDF: 1377

  HTML: 1301