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The food environment and adult obesity in US metropolitan areas

Akihiko Michimi, Michael C. Wimberly

26-11-2015

https://doi.org/10.4081/gh.2015.368

6500

PDF: 3010

HTML: 1245
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

2899

PDF: 1400

APPENDIX: 507

HTML: 1191
Trends in obesity at the national and local level among South Korean adolescents

Kyungsoo Han, Sejin Park, Jürgen Symanzik, Sookhee Choi, Jeongyong Ahn

31-05-2016

https://doi.org/10.4081/gh.2016.381

2957

PDF: 1476

HTML: 1231
Spatial association of public sports facilities with body mass index in Korea

Eun Jin Han, Kiyeon Kang, So Young Sohn

07-05-2018

https://doi.org/10.4081/gh.2018.542

2631

PDF: 1175

HTML: 114
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

4306

PDF: 2058

HTML: 1509
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

764

PDF: 286

HTML: 12
A geospatial analysis of cardiometabolic diseases and their risk factors considering environmental features in a midsized city in Argentina

Micaela Natalia Campero, Carlos Matías Scavuzzo, Veronica Andreo, María Sol Mileo, Micaela Belén Franzois, María Georgina Oberto, Carla Gonzalez Rodriguez, María Daniela Defagó

23-10-2023

https://doi.org/10.4081/gh.2023.1212

2050

PDF: 1015

HTML: 30
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

5664

PDF: 2822

HTML: 818
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

3849

PDF: 1737
Application of global positioning system methods for the study of obesity and hypertension risk among low-income housing residents in New York City: a spatial feasibility study

Dustin T. Duncan, Seann D. Regan, Donna Shelley, Kristen Day, Ryan R. Ruff, Maliyhah Al-Bayan, Brian Elbel

57-70

01-11-2014

https://doi.org/10.4081/gh.2014.6

2959

PDF: 1610
Building obesity in Canada: understanding the individual- and neighbourhood-level determinants using a multi-level approach

Theodora Pouliou, Susan J. Elliott, Antonio Paez, K. Bruce Newbold

45-55

01-11-2014

https://doi.org/10.4081/gh.2014.5

3045

PDF: 1655
Impact of walkability with regard to physical activity in the prevention of diabetes

Carlos Mena, César Sepúlveda, Yony Ormazábal, Eduardo Fuentes, Iván Palomo

03-11-2017

https://doi.org/10.4081/gh.2017.595

3872

PDF: 1318

HTML: 1092
Spatiotemporal patterns of mortality associated with chronic non-communicable diseases and child malnutrition at the municipal level in Mexico

José Mauricio Galeana-Pizaña, Leslie Verdeja-Vendrell, Lizbeth Ixchel Díaz-Trejo, Carlos Anzaldo, Daniela Figueroa, Aldo Daniel Jiménez-Ortega

17-05-2022

https://doi.org/10.4081/gh.2022.1087

1899

PDF: 1175

Appendix: 216

HTML: 79
A spatio-temporal study of state-wide case-fatality risks during the first wave of the COVID-19 pandemic in Mexico

Ricardo Ramìrez-Aldana , Juan Carlos Gomez-Verjan, Omar Yaxmehen Bello-Chavolla , Lizbeth Naranjo

24-03-2022

https://doi.org/10.4081/gh.2022.1054

1727

PDF: 552

Appendix: 281

HTML: 49
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

3276

PDF: 1000

HTML: 266
Estimating small area health-related characteristics of populations: a methodological review

Azizur Rahman

08-05-2017

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

4507

PDF: 2084

HTML: 1382
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

3063

PDF: 1100

HTML: 811
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

2318

PDF: 1150

HTML: 168
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

3185

PDF: 1852

HTML: 1385
Place and health infrastructure in the Gulf Cooperation Council: A systematic scoping review of GIS applications in health

Dari Alhuwail, Saad AlSharrah, Neil T Coffee, Faisal H Al-Refaei, Mark Daniel

29-12-2020

https://doi.org/10.4081/gh.2020.887

3254

PDF: 1210

HTML: 81
Socio-spatial vulnerability index of type 2 diabetes mellitus in Mexico in 2020

Enríque Ibarra-Zapata, Darío Gaytán-Hernández, Yolanda Terán-Figueroa, Verónica Gallegos-García, Carmen del Pilar Suárez-Rodríguez, Sergio Zarazúa Guzmán, Omar Parra Rodríguez

27-01-2025

https://doi.org/10.4081/gh.2025.1348

4740

PDF: 1682

HTML: 277
Collective efficacy and community readiness for dementia prevention: a spatial spillover analysis

Duan-Rung Chen, Chun-Tung Kuo, Tzu-Chin Wu

08-06-2026

https://doi.org/10.4081/gh.2026.1476

415

PDF: 225

HTML: 9
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

1621

PDF: 520

HTML: 104
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

2282

PDF: 1027

HTML: 50
Evaluation of the positional difference between two common geocoding methods

Dustin T. Duncan, Marcia C. Castro, Jeffrey C. Blossom, Gary G. Bennett, Steven L. Gortmaker

265-273

01-05-2011

https://doi.org/10.4081/gh.2011.179

2971

PDF: 2059
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

2315

PDF: 1039

HTML: 717
Comparing the accuracy of food outlet datasets in an urban environment

Michelle S. Wong, Jennifer M. Peyton, Timothy M. Shields, Frank C. Curriero, Kimberly A. Gudzune

11-05-2017

https://doi.org/10.4081/gh.2017.546

2461

PDF: 1220

HTML: 983
Spatial association of socio-demographic, environmental factors and prevalence of diabetes mellitus in middle-aged and elderly people in Thailand

Suparat Tappo, Wongsa Laohasiriwong, Nattapong Puttanapong

29-11-2022

https://doi.org/10.4081/gh.2022.1091

2152

PDF: 1252

Appendix: 189

HTML: 234
Design and implementation of a spatial database for analysis of wheelchair accessibility

Peter Nezval, Takeshi Shirabe

24-03-2025

https://doi.org/10.4081/gh.2025.1324

2252

PDF: 670

HTML: 140
Associations between time spent in green areas and physical activity among late middle-aged adults

Bart Dewulf, Tijs Neutens, Delfien Van Dyck, Ilse De Bourdeaudhuij, Steven Broekx, Carolien Beckx, Nico Van de Weghe

16-11-2016

https://doi.org/10.4081/gh.2016.411

3419

PDF: 1826

HTML: 902
Comparing the perception with the reality of walking in a hilly environment: an accessibility method applied to a University campus in Hong Kong

Guibo Sun, Robert Haining, Hui Lin, Nicolas M. Oreskovic, Jie He

18-05-2015

https://doi.org/10.4081/gh.2015.340

5760

PDF: 2062

HTML: 1927
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

3087

PDF: 851

HTML: 113
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

2163

PDF: 1219

HTML: 72
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

2633

PDF: 785

HTML: 63
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

8679

PDF: 3643

HTML: 2722
Feasibility study to objectively assess activity and location of Hispanic preschoolers: a short communication

Teresia M. O'Connor, Ester Cerin, Jessica Robles, Rebecca E. Lee, Jacqueline Kerr, Nancy Butte, Jason A. Mendoza, Deborah Thompson, Tom Baranowski

375-380

01-05-2013

https://doi.org/10.4081/gh.2013.94

2144

PDF: 1129
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

6631

PDF: 1195

HTML: 1145
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

3410

PDF: 1523

HTML: 1231
Risk areas for hepatitis A, B and C in the municipality of MaringÃ¡, ParanÃ¡ State, Brazil 2007-2010

Valéria Miranda Avanzi, Udelysses Janete Veltrini Fonzar, Eraldo Schunk Silva, Jorge Juarez Vieira Teixeira, Dennis Armando Bertolini

08-05-2018

https://doi.org/10.4081/gh.2018.607

2089

PDF: 881

HTML: 154
The spatial distribution of interleukin-4 (IL-4) reference values in China based on a back propagation (BP) neural network

Zhao Rong Huang, Miao Ge, Xin Rui Pang, Pu Song, Congxia Wang

13-09-2023

https://doi.org/10.4081/gh.2023.1197

1444

PDF: 655

HTML: 27
Measuring high-density built environment for public health research: Uncertainty with respect to data, indicator design and spatial scale

Guibo Sun, Chris Webster, Michael Y. Ni, Xiaohu Zhang

07-05-2018

https://doi.org/10.4081/gh.2018.653

2678

PDF: 1550

HTML: 239
Unravelling the dual burden in regional context: how child malnutrition and socioeconomic gradients shape early childhood development

Muhammad Usman

05-02-2026

https://doi.org/10.4081/gh.2026.1455

680

PDF: 482

HTML: 17
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

3730

PDF: 1239

HTML: 831
Association of socioeconomic indicators with COVID-19 mortality in Brazil: a population-based ecological study

João Batista Cavalcante Filho, Marco Aurélio de Oliveira Góes, Damião da Conceição Araújo, Marcus Valerius da Silva Peixoto, Marco Antônio Prado Nunes

13-07-2023

https://doi.org/10.4081/gh.2023.1206

2121

PDF: 935

Supplementary Materials: 166

HTML: 41
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

4541

PDF: 2123

HTML: 585
Mapping healthcare resources and regional mortality in Europe: a spatial study of current service coverage

Alicja Olejnik, Agata Żółtaszek

04-12-2025

https://doi.org/10.4081/gh.2025.1425

459

PDF: 306

Supplementary materials: 62

HTML: 51
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

3016

PDF: 1364

HTML: 895
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

2842

PDF: 659

HTML: 74
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

942

PDF: 419

Supplementary materials: 107

HTML: 29
Spatial clustering of colorectal cancer in Malaysia

Sharifah Saffinas Syed Soffian, Azmawati Mohammed Nawi, Rozita Hod, Khairul Nizam Abdul Maulud, Ahmad Tarmizi Mohd Azmi, Mohd Hazrin Hasim Hashim, Huan-Keat Chan, Muhammad Radzi Abu Hassan

25-05-2023

https://doi.org/10.4081/gh.2023.1158

1915

PDF: 889

HTML: 25
Spatial pattern analysis of the impact of community food environments on foetal macrosomia, preterm births and low birth weight

Micaela Natalia Campero, Carlos Matías Scavuzzo, Carlos Marcelo Scavuzzo, María Dolores Román

07-05-2024

https://doi.org/10.4081/gh.2024.1249

1322

PDF: 835

Supplementary Materials: 182

HTML: 74
Measuring neighborhood deprivation for childhood health and development - scale implications in rural and urban context

Alexandra Ursache, Seann Regan, Allison De Marco, Dustin T. Duncan, The Family Life Project Key Investigators

11-03-2021

https://doi.org/10.4081/gh.2021.926

2988

PDF: 1168

HTML: 70

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