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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

8650

PDF: 3639

HTML: 2719
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

814

PDF: 408

Supplementary materials: 50

HTML: 17
Spatial and spatio-temporal clusters of lung cancer incidence by stage of disease in Michigan, United States 1985-2018

Qiong Zhang, Shangrui Zhu, Sue C. Grady, Anqi Wang, Hollis Hutchings, Jessica Cox, Andrew Popoff, Ikenna Okereke

14-02-2024

https://doi.org/10.4081/gh.2024.1219

6737

PDF: 1192

Supplementary Materials: 170

HTML: 101
Oncologic burden in Ukraine: regional inequalities and environmental risk factors

Anatolii Kornus, Olesia Kornus, Yurii Liannoi, Olena Danylchenko, Serhii Lutsenko

14-11-2025

https://doi.org/10.4081/gh.2025.1418

771

PDF: 294

HTML: 17
Bivariate spatiotemporal disease mapping of cancer of the breast and cervix uteri among Iranian women

Mehdi Raei, Volker Johann Schmid, Behzad Mahaki

08-05-2018

https://doi.org/10.4081/gh.2018.645

2642

PDF: 1263

HTML: 149
Cancer incidence in Priolo, Sicily: a spatial approach for estimation of industrial air pollution impact

Lucia Fazzo, Mario Carere, Francesco Tisano, Caterina Bruno, Achille Cernigliaro, Maria Rita Cicero, Pietro Comba, Maria Luisa Contrino, Marco De Santis, Fabrizio Falleni, Vincenzo Ingallinella, Anselmo Madeddu, Ida Marcello, Carlo Regalbuto, Giovanna Sciacca, Maria Eleonora Soggiu, Amerigo Zona

18-04-2016

https://doi.org/10.4081/gh.2016.320

5374

PDF: 2171

HTML: 2097
Public domain small-area cancer incidence data for New York State, 2005-2009

Francis P. Boscoe, Thomas O. Talbot, Martin Kulldorff

18-04-2016

https://doi.org/10.4081/gh.2016.304

2258

PDF: 1294

HTML: 870
How much incident lung cancer was missed globally in 2012? An ecological country-level study

Benn Sartorius, Kurt Sartorius

31-05-2016

https://doi.org/10.4081/gh.2016.396

2882

PDF: 2064

HTML: 1036
Spatial autocorrelation and stratified heterogeneity in the evaluation of breast cancer risk inequity and socioeconomic factors analysis in China: Evidence from Nanchang, Jiangxi Province

Yaqi Wang, Zhiwei Wan

17-05-2022

https://doi.org/10.4081/gh.2022.1078

2047

PDF: 1080

HTML: 190
Geographic access to radiation therapy facilities and disparities of early-stage breast cancer treatment

Yan Lin, Michael C. Wimberly, Patricia Da Rosa, Joseph Hoover, William F. Athas

07-05-2018

https://doi.org/10.4081/gh.2018.622

4140

PDF: 1594

HTML: 383
Spatial-temporal analysis of prostate cancer incidence from the Pennsylvania Cancer Registry, 2000-2011

Ming Wang, Stephen A. Matthews, Khaled Iskandarani, Yimei Li, Zheng Li, Vernon M. Chinchilli, Lijun Zhang

28-11-2017

https://doi.org/10.4081/gh.2017.611

3816

PDF: 1030

HTML: 732
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

2139

PDF: 1204

HTML: 68
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

1995

PDF: 1010

SUPPLEMENTARY: 440

HTML: 146
Spatial analysis of incidence of cutaneous melanoma in the Friuli Venezia Giulia region in the period 1995-2005

Lorenzo Cecconi, Anna Busolin, Fabio Barbone, Diego Serraino, Alessandra Chiarugi, Annibale Biggeri, Dolores Catelan

18-04-2016

https://doi.org/10.4081/gh.2016.422

2693

PDF: 2140

HTML: 984
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

3723

PDF: 1234

HTML: 831
Lung cancer associated with natural vegetation cover: spatial analysis in the state of Pará, eastern Brazil

Bruna Rafaela Leite Dias, Laura Maria Vidal Nogueira, Ivaneide Leal Ataíde Rodrigues, Bruna Puty, Maria Liracy Batista de Souza, Gracileide Maia Corrêa, Altem Nascimento Pontes

12-09-2025

https://doi.org/10.4081/gh.2025.1399

822

PDF: 335

HTML: 16
A spatial lag model analysis of lung cancer incidence and satellite-derived data on air pollution in Thailand from 2020 to 2023

Wasana Silangam, Amornrat Luenam

14-11-2025

https://doi.org/10.4081/gh.2025.1424

867

PDF: 423

HTML: 11
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

1896

PDF: 875

HTML: 25
Making the most of spatial information in health: a tutorial in Bayesian disease mapping for areal data

Su Yun Kang, Susanna M. Cramb, Nicole M. White, Stephen J. Ball, Kerrie L. Mengersen

31-05-2016

https://doi.org/10.4081/gh.2016.428

7577

PDF: 2616

APPENDIX: 1207

HTML: 5512
Optimizing mobile mammography deployment in Oklahoma 2024: a two-step floating catchment area approach

Janis E. Campbell, Amanda Janitz, Ayesha B. Sambo, Nubwa St. James, Stephanie F. Pharr, Mark P. Doescher

21-04-2026

https://doi.org/10.4081/gh.2026.1426

433

PDF: 300

Supplementary materials: 52

HTML: 7
Optimizing allocation of colorectal cancer screening hospitals in Shanghai: a geospatial analysis

Jiaqi Huang, Yichen Chen, Gu Liu, Wei Tu, Robert Bergquist, Michael P. Ward, Jun Zhang, Shuang Xiao, Jie Hong, Zheng Zhao, Xiaopan Li, Zhijie Zhang

03-07-2023

https://doi.org/10.4081/gh.2023.1152

2500

PDF: 1249

Supplementary Materials: 212

HTML: 30
Disease mapping and spatio-temporal analysis: importance of expected-case computation criteria

Gonzalo Lòpez-Abente, Nuria Aragonés, Javier García-Pérez, Pablo Fernández- Navarro

27-35

01-11-2014

https://doi.org/10.4081/gh.2014.3

3601

PDF: 1817
Geostatistical integration and uncertainty in pollutant concentration surface under preferential sampling

Laura Grisotto, Dario Consonni, Lorenzo Cecconi, Dolores Catelan, Corrado Lagazio, Pier Alberto Bertazzi, Michela Baccini, Annibale Biggeri

18-04-2016

https://doi.org/10.4081/gh.2016.426

2527

PDF: 1953

HTML: 1148
Bayesian spatio-temporal modelling of tobacco-related cancer mortality in Switzerland

Verena Jürgens, Silvia Ess, Harish C. Phuleria, Martin Früh, Matthias Schwenkglenks, Harald Frick, Thomas Cerny, Penelope Vounatsou

219-236

01-05-2013

https://doi.org/10.4081/gh.2013.82

3649

PDF: 1570
Increased cancer mortality in Taiwanese inter-island migrants

Meng-Kan Chen, Hsiu-Hsi Chen

251-263

01-05-2013

https://doi.org/10.4081/gh.2013.84

1575

PDF: 902
Resources allocation in healthcare for cancer: a case study using generalised additive mixed models

Monica Musio, Erik A. Sauleau, Nicole H. Augustin

83-89

01-11-2012

https://doi.org/10.4081/gh.2012.107

2095

PDF: 1060
A geographical information system-based analysis of cancer mortality and population exposure to coal mining activities in West Virginia, United States of America

Michael Hendryx, Evan Fedorko, Andrew Anesetti-Rothermel

243-256

01-05-2010

https://doi.org/10.4081/gh.2010.204

4254

PDF: 2085
Preferential sampling in veterinary parasitological surveillance

Lorenzo Cecconi, Annibale Biggeri, Laura Grisotto, Veronica Berrocal, Laura Rinaldi, Vincenzo Musella, Giuseppe Cringoli, Dolores Catelan

18-04-2016

https://doi.org/10.4081/gh.2016.412

2457

PDF: 1739

APPENDIX: 680

HTML: 1056
Spatial and temporal characteristics of cancer in the period from 2004 to 2013 in the Hashemite Kingdom of Jordan

Salahuddin M. Jaber, Jwan H. Ibbini, Nawal S. Hijjawi, Juhina J. Thnaibat, Omar F. Nimri

09-11-2018

https://doi.org/10.4081/gh.2018.695

1817

PDF: 970

HTML: 42
Cluster detection of diseases in heterogeneous populations: an alternative to scan methods

Rebeca Ramis, Diana Gomez-Barroso, Gonzalo Lòpez-Abente

517-526

01-05-2014

https://doi.org/10.4081/gh.2014.41

2030

PDF: 1288
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

3226

PDF: 1204

HTML: 80
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

450

PDF: 296

Supplementary materials: 57

HTML: 45
Spatial clusters of life expectancy and association with cardiovascular disease mortality and cancer mortality in the contiguous United States: 1980-2014

Raid W. Amin, Julia Steinmetz

14-05-2019

https://doi.org/10.4081/gh.2019.733

2253

PDF: 1247

HTML: 90
Geo-epidemiological reporting and spatial clustering of the 10 most prevalent cancers in Iran

Ebrahim Babaee, Gholamreza Roshandel, Meysam Olfatifar, Arash Tehrani-Banihashemi, Arezou Ashaari, Marzieh Nojomi

11-05-2021

https://doi.org/10.4081/gh.2021.904

2700

PDF: 1493

HTML: 179
A geographically weighted regression approach to investigate air pollution effect on lung cancer: A case study in Portugal

Diogo Cardoso, Marco Painho, Rita Roquette

13-05-2019

https://doi.org/10.4081/gh.2019.701

4254

PDF: 2063

APPENDIX: 553

HTML: 321
An analysis of the process and results of manual geocode correction

Yolanda J. McDonald, Michael Schwind, Daniel W. Goldberg, Amanda Lampley, Cosette M. Wheeler

11-05-2017

https://doi.org/10.4081/gh.2017.526

2550

PDF: 1083

HTML: 990
CutL: an alternative to Kulldorff's scan statistics for cluster detection with a specified cut-off level

Barbara WiÄ™ckowska, Justyna Marcinkowska

06-11-2017

https://doi.org/10.4081/gh.2017.556

2497

PDF: 829

HTML: 905
Impact of spatial aggregation error on the spatial scan analysis: a case study of colorectal cancer

Lan Luo

23-35

01-11-2013

https://doi.org/10.4081/gh.2013.51

1715

PDF: 1223
The influence of socioeconomic deprivation, access to healthcare and physical environment on old-age survival in Portugal

Ana Isabel Ribeiro, Elias Teixeira Krainski, Marilia Sá Carvalho, Maria de Fátima de Pina

07-11-2017

https://doi.org/10.4081/gh.2017.581

3833

PDF: 1480

HTML: 881
Elucidating the underlying causes of oral cancer through spatial clustering in high-risk areas of Taiwan with a distinct gender ratio of incidence

Chi-Ting Chiang, Yaw-Huei Hwang, Che-Chun Su, Kuo-Yang Tsai, Ie-Bin Lian, Tzu-Hsuen Yuan, Tsun-Kuo Chang

231-242

01-05-2010

https://doi.org/10.4081/gh.2010.203

2936

PDF: 1111
Spatio-temporal statistics: applications in epidemiology, veterinary medicine and ecology

Annibale Biggeri, Dolores Catelan, David Conesa, Penelope Vounatsou

18-04-2016

https://doi.org/10.4081/gh.2016.469

2592

PDF: 1562

HTML: 932
Point process methods in epidemiology: application to the analysis of human immunodeficiency virus/acquired immunodeficiency syndrome mortality in urban areas

Jose Antonio Quesada, Inmaculada Melchor, Andreu Nolasco

26-05-2017

https://doi.org/10.4081/gh.2017.506

1943

PDF: 1060

HTML: 1067
Trend and spatial analysis of prostate cancer mortality in the state of Sergipe, Brazil

José Augusto Passos Gòes, Danilo de Gois Souza, Lucas Almeida Andrade, Jéssica Cunha, Simone Kameo, Marco Aurélio O. Gòes, Andreia Freire de Menezes, Marco Antônio P. Nunes, Karina Conceiçao Gomes Machado de Araújo, Allan D. Santos

12-11-2018

https://doi.org/10.4081/gh.2018.732

2331

PDF: 1380

HTML: 90
A statistical approach to rank multiple priorities in Environmental Epidemiology: an example from high-risk areas in Sardinia, Italy

Dolores Catelan, Annibale Biggeri

81-89

01-11-2008

https://doi.org/10.4081/gh.2008.234

1605

PDF: 871
A Bayesian kriging model for estimating residential exposure to air pollution of children living in a high-risk area in Italy

Ana M. Vicedo-Cabrera, Annibale Biggeri, Laura Grisotto, Fabio Barbone, Dolores Catelan

87-95

01-11-2013

https://doi.org/10.4081/gh.2013.57

2865

PDF: 1530
Land surface temperature predicts mortality due to chronic obstructive pulmonary disease: a study based on climate variables and impact machine learning

Alireza Mohammadi, Bardia Mashhoodi, Ali Shamsoddini, Elahe Pishgar, Robert Bergquist

26-03-2025

https://doi.org/10.4081/gh.2025.1319

2586

PDF: 1024

HTML: 136
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

1075

PDF: 469

HTML: 45
Multiple testing in disease mapping and descriptive epidemiology

Dolores Catelan, Annibale Biggeri

219-229

01-05-2010

https://doi.org/10.4081/gh.2010.202

1821

PDF: 1102
Epidemiological and spatial analysis of breast cancer mortality and survival among women in San Luis Potosi, Mexico 2009-2019

Carlos Daniel Coronado-Ruis, Enrique Ibarra-Zapata, Darío Gaytán-Hernández, Sergio Zarazúa-Guzmán, Thuluz Meza-Menchaca, Marisol Gallegos-García, Omar Medina-de la Cruz, Verónica Gallegos-Garcìa

23-07-2026

https://doi.org/10.4081/gh.2026.1490

180

PDF: 106
Geographical distribution and spatio-temporal patterns of hospitalization due to dengue infection at a leading specialist hospital in Malaysia

Gary K.K. Low, Panayoti Papapreponis, Ridzuan M. Isa, Seng Chiew Gan, Hui Yee Chee, Kian Keong Te, Nadia M. Hatta

07-05-2018

https://doi.org/10.4081/gh.2018.642

2557

PDF: 1096

APPENDIX: 485

HTML: 130
Sensitivity analysis of the relationship between disease occurrence and distance from a putative source of pollution

Emanuela Dreassi, Corrado Lagazio, Milena M. Maule, Corrado Magnani, Annibale Biggeri

263-271

01-05-2008

https://doi.org/10.4081/gh.2008.249

1486

PDF: 811
Monitoring the cluster of high-risk mortality areas in the southwest of Spain

Maria Buxò-Pujolrás, José Miguel Martínez, Yutaka Yasui, Carme Borrell, Juan Carlos Martín, Montserrat Vergara, Marta Cervantes, Joan Benach

73-81

01-11-2012

https://doi.org/10.4081/gh.2012.106

1472

PDF: 884
A descriptive and model-based spatial comparison of the standardised mortality ratio and the age-standardised mortality rate

Sibylle Sturtz, Katja Ickstadt

255-266

01-05-2007

https://doi.org/10.4081/gh.2007.273

1668

PDF: 1030
A multi-stage approach to maximizing geocoding success in a large population-based cohort study through automated and interactive processes

Jennifer S. Sonderman, Michael T. Mumma, Sarah S. Cohen, Elizabeth L. Cope, William J. Blot, Lisa B. Signorello

273-284

01-05-2012

https://doi.org/10.4081/gh.2012.145

2362

PDF: 917
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

393

PDF: 266

HTML: 11
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

1886

PDF: 1013

Appendix: 161

HTML: 85
Spatio-temporal dynamics of schistosomiasis in Rwanda between 2001 and 2012: impact of the national Neglected Tropical Disease control programme

Elias Nyandwi, Tom Veldkamp, Frank Badu Osei, Sherif Amer

08-05-2017

https://doi.org/10.4081/gh.2017.514

3530

PDF: 1268

HTML: 1082
Colorectal cancer risk factors in north-eastern Iran: A retrospective cross-sectional study based on geographical information systems, spatial autocorrelation and regression analysis

Ladan Goshayeshi, Ali Pourahmadi, Majid Ghayour-Mobarhan, Soheil Hashtarkhani, Sajad Karimian, Reza Shahhosein Dastjerdi, Babak Eghbali, Efat Seyfi, Behzad Kiani

06-11-2019

https://doi.org/10.4081/gh.2019.793

4443

PDF: 1699

HTML: 71
Evaluation by accessibility index differences of the cross-border potential for general inpatient care in the Ems-Dollart Region, a Dutch-German cross-border area

Sebastian Specht, Helge Schnack, Andreas Hein

08-08-2025

https://doi.org/10.4081/gh.2025.1381

1530

PDF: 409

HTML: 58
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

2107

PDF: 672

HTML: 24
Space-time scan statistics of 2007-2013 dengue incidence in Cimahi city, Indonesia

Pandji Wibawa Dhewantara, Andri Ruliansyah, M. Ezza Azmi Fuadiyah, Endang Puji Astuti, Mutiara Widawati

27-11-2015

https://doi.org/10.4081/gh.2015.373

5484

PDF: 2092

HTML: 1040
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

3389

PDF: 1240

HTML: 43
The Labin Region, an ecologically vulnerable geographical area in Croatia: Mortality characteristics in an area polluted by industrial over a 40-year period

Toni Buterin, Robert Doričić, Dalibor Broznić, Tanja Ćorić, Amir Muzur

17-05-2022

https://doi.org/10.4081/gh.2022.1082

1306

PDF: 708

HTML: 99
Spatial analysis of the regional variation of reproductive tract infections and spousal migration correlates in Nepal

Derek C. Johnson, Pema Lhaki, Charlotte Buehler Cherry, Mirjam-Colette Kempf, Eric Chamot, Sten H. Vermund, Sadeep Shrestha

30-05-2017

https://doi.org/10.4081/gh.2017.513

2647

PDF: 1409

HTML: 960
Dynamic location model for designated COVID-19 hospitals in China

Wang Fei, Yuan Linghong, Zhang Weigang, Zhang Ruihan

29-10-2024

https://doi.org/10.4081/gh.2024.1310

1302

PDF: 460

Supplementary Materials: 295

HTML: 80
Spatial air pollution modelling for a West-African town

Sirak Zenebe Gebreab, Danielle Vienneau, Christian Feigenwinter, HampÃ¢té BÃ¢, Guéladio Cissé, Ming-Yi Tsai

26-11-2015

https://doi.org/10.4081/gh.2015.321

3936

PDF: 1845

SUPPL. MATERIAL: 487

HTML: 1091
Associations between rocky mountain spotted fever and veterinary care access, climatic factors and landscape in the State of Arizona, USA

Yan Lin, Al Ekram Elahee Hridoy , Meifang Li, Zhe Wang, Li Luo, Xiaogang Ma, Zhuoming Liu, Murphy John, Chao Fan, Irene Ruberto, Xi Gong, Xun Shi

17-07-2025

https://doi.org/10.4081/gh.2025.1390

1179

PDF: 980

Supplementary Materials: 129

HTML: 119
Methodological approach to determine of small spatial units in a highly complex terrain in atmospheric pollution research: the case of Zasavje region in Slovenia

Andreja Kukec, Marija Z. Boznar, Primoz Mlakar, Bostjan Grasic, Andrej Herakovic, Vesna Zadnik, Lijana Zaletel-Kragelj, Jerneja Farkas, Ivan Erzen

527-535

01-05-2014

https://doi.org/10.4081/gh.2014.42

1588

PDF: 957
Spatial access to public hospitals during COVID-19 in Nottinghamshire, UK

Jishuo Zhang, Meifang Li

29-11-2022

https://doi.org/10.4081/gh.2022.1123

1311

PDF: 1060

HTML: 97
Asthmatic symptoms and air pollution: a panel study on children living in the Italian Po Valley

Andrea Ranzi, Anna Freni Sterrantino, Francesco Forastiere, Claudio Sartini, Giovanna Casale, Rino Cavallini, Aldo De Togni, Lorenza Gallo, Paolo Lauriola

26-11-2015

https://doi.org/10.4081/gh.2015.366

3572

PDF: 1656

HTML: 1255
Modelling and analyzing spatial clusters of leptospirosis based on satellite-generated measurements of environmental factors in Thailand during 2013-2015

Amornrat Luenam, Nattapong Puttanapong

26-11-2020

https://doi.org/10.4081/gh.2020.856

3751

PDF: 1324

HTML: 77
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

1099

PDF: 375

HTML: 39
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

2304

PDF: 1136

HTML: 166
Promoting sustainable health equity: accessibility analysis and optimization of tertiary hospital networks in China’s metropolitan areas

Jiarui Han, Liping Fu, Tong Pei, Tiantian Zhang

07-10-2025

https://doi.org/10.4081/gh.2025.1414

950

PDF: 754

Supplementary materials: 104

HTML: 28
Is missing geographic positioning system data in accelerometry studies a problem, and is imputation the solution?

Kristin Meseck, Marta M. Jankowska, Jasper Schipperijn, Loki Natarajan, Suneeta Godbole, Jordan Carlson, Michelle Takemoto, Katie Crist, Jacqueline Kerr

31-05-2016

https://doi.org/10.4081/gh.2016.403

2732

PDF: 1627

HTML: 926
Evaluating the accessibility to healthcare facilities under the Chinese hierarchical diagnosis and treatment system

Jingkai Yue, Qiang Fu, Ying Zhou, Yue Zhang, Jie Ning, Gang Yin, Hongbing Tao

03-11-2021

https://doi.org/10.4081/gh.2021.995

2797

PDF: 1220

HTML: 223
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

2306

PDF: 1034

HTML: 717
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

3400

PDF: 1512

HTML: 1231
Industrial pollution and mortality from digestive cancers at the small area level in a Spanish industrialized province

Vanessa Santos-Sanchez, Juan Antonio Còrdoba-Doña, Javier García-Pérez, Antonio Escolar-Pujolar, Lucia Pozzi, Rebeca Ramis

19-06-2020

https://doi.org/10.4081/gh.2020.802

1462

PDF: 970

Appendix: 275

HTML: 72
The spatio-temporal distribution of Oncomelania hupensis along Yangtze river in Jiangsu Province, China after implementation of a new, integrated schistosomiasis control strategy

Jian He, Wei Li, Robert Bergquist, Jian-Feng Zhang, Liang Shi, Song Zhao, Feng Wu, Kun Yang

29-11-2016

https://doi.org/10.4081/gh.2016.480

3350

PDF: 1079

HTML: 916
Access to the COVID-19 services during the pandemic - a scoping review

Ahmad Raeesi, Behzad Kiani, Azam Hesami, Ladan Goshayeshi, Neda Firouraghi, Shahab MohammadEbrahimi, Soheil Hashtarkhani

28-03-2022

https://doi.org/10.4081/gh.2022.1079

2654

PDF: 891

Appendix: 353

HTML: 129
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

2438

PDF: 1165

HTML: 42
Spatial cluster analysis of COVID-19 in Malaysia (Mar-Sep, 2020)

Sami Ullah, Nurul Hidayah Mohd Nor, Hanita Daud, Nooraini Zainuddin, Muhammad Salim Javed Gandapur, Iftikhar Ali, Alamgir Khalil

05-05-2021

https://doi.org/10.4081/gh.2021.961

4188

PDF: 1738

HTML: 125
Searching for space-time clusters: The CutL method compared to Kulldorff's scan statistic

Barbara WiÄ™ckowska, Ilona Gòrna, Maciej Trojanowski, Agata Pruciak, Barbara StawiÅ„ska-WitoszyÅ„ska

06-11-2019

https://doi.org/10.4081/gh.2019.791

1523

PDF: 913

HTML: 197
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

3004

PDF: 1132

HTML: 819
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

1774

PDF: 811

HTML: 39
Performance of a negative binomial-GLM in spatial scan statistic: a case study of low-birth weights in Pakistan

Sami Ullah, Mushtaq Ahmad Khan Barakzai, Tianfa Xie

03-09-2024

https://doi.org/10.4081/gh.2024.1313

1784

PDF: 687

HTML: 173
Malignant mesothelioma and asbestos exposure in Europe: Evidence of spatial clustering

Ewa Wilk, MaÅ‚gorzata KròwczyÅ„ska

14-05-2021

https://doi.org/10.4081/gh.2021.951

4408

PDF: 1516

Appendix: 267

HTML: 675
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

3861

PDF: 1307

HTML: 1092
Assessing bias associated with geocoding of historical residence in epidemiology research

Daikwon Han, Matthew R. Bonner, Jing Nie, Jo L. Freudenheim

369-374

01-05-2013

https://doi.org/10.4081/gh.2013.93

2281

PDF: 1290
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

1886

PDF: 1152

Appendix: 213

HTML: 78
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

2618

PDF: 1167

HTML: 114
Satellite-based forest monitoring: spatial and temporal forecast of growing index and short-wave infrared band

Caroline Bayr, Heinz Gallaun, Ulrike Kleb, Birgit Kornberger, Martin Steinegger, Martin Winter

18-04-2016

https://doi.org/10.4081/gh.2016.310

2720

PDF: 1566

HTML: 2025
Colorectal cancer screening participation: Exploring relationship heterogeneity and scale differences using multiscale geographically weighted regression

Alistair Geddes, A. Stewart Fotheringham, Gillian Libby, Robert J.C. Steele

11-05-2021

https://doi.org/10.4081/gh.2021.967

2171

PDF: 952

HTML: 59
Indirect field technology for detecting areas object of illegal spills harmful to human health: application of drones, photogrammetry and hydrological models

Alessandra Capolupo, Stefania Pindozzi, Collins Okello, Lorenzo Boccia

S699-S707

01-12-2014

https://doi.org/10.4081/gh.2014.298

4581

PDF: 2203
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

3593

PDF: 1922

HTML: 1337
Optimizing vaccination sites for infectious diseases based on heterogeneous travel modes in multiple scenarios

Wentao Yang, Fengjie Wang, Yihan You, Zhixiong Fang, Xing Wang, Xiaoming Mei

24-03-2025

https://doi.org/10.4081/gh.2025.1362

2037

PDF: 496

HTML: 109
Balancing geo-privacy and spatial patterns in epidemiological studies

Chien-Chou Chen, Jen-Hsiang Chuang, Da-Wei Wang, Chien-Min Wang, Bo-Cheng Lin, Ta-Chien Chan

08-11-2017

https://doi.org/10.4081/gh.2017.573

4192

PDF: 1361

APPENDIX: 576

HTML: 964
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

3516

PDF: 1831

HTML: 220
Climate and the distribution of vector-borne diseases: what's in store?

Robert Bergquist

08-05-2017

https://doi.org/10.4081/gh.2017.549

3465

PDF: 1545

HTML: 857

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