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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

3419

Downloads: 1530

HTML: 1231
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

1100

Downloads: 487

HTML: 47
Integration of accelerometers, global positioning systems (GPS) and geographical information systems (GIS) for measuring physical activity

Lucian Bezuidenhout, Warren Miller, Conran Joseph, David Moulaee Conradsson

21-10-2025

https://doi.org/10.4081/gh.2025.1382

969

Downloads: 547

HTML: 36
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

1826

Downloads: 1223
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

5683

Downloads: 2831

HTML: 824
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

1821

Downloads: 894

HTML: 42
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

786

Downloads: 297

HTML: 15
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

3206

Downloads: 1860

HTML: 1386
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

1657

Downloads: 539

HTML: 104
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

2468

Downloads: 1205

HTML: 42
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

4349

Downloads: 2069

HTML: 1514
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

2141

Downloads: 927

HTML: 24
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

3029

Downloads: 1461

HTML: 895
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

1757

Downloads: 1018

HTML: 842
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

2184

Downloads: 1149

HTML: 41
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

3302

Downloads: 1011

HTML: 266
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

2918

Downloads: 1916

HTML: 1194
Bayesian hierarchical spatial models for disease mapping in the presence of missing covariates

Sami Ullah, Tianfa Xie

20-08-2026

https://doi.org/10.4081/gh.2026.1511

134

Downloads: 81

HTML: 3
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

2027

Downloads: 1466

HTML: 147
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

2642

Downloads: 795

HTML: 63
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

3627

Downloads: 1946

HTML: 1338
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

4574

Downloads: 2130

HTML: 585
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

830

Downloads: 684

HTML: 44
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

420

Downloads: 330

HTML: 15
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

2338

Downloads: 1048

HTML: 717

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