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  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

  2560

  PDF: 1446

  HTML: 235
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  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

  5512

  PDF: 1954

  HTML: 1910
• 

  The influence of the built environment on outcomes from a walking school bus study: a cross-sectional analysis using geographical information systems

  Nicolas M. Oreskovic, Jeff Blossom, Alyssa I. Robinson, Minghua L. Chen, Doris K. Uscanga, Jason A. Mendoza

  37-44

  01-11-2014

  https://doi.org/10.4081/gh.2014.4

  2169

  PDF: 1372
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  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

  838

  PDF: 429

  HTML: 30
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  Association of city-level walkability, accessibility to biking and public transportation and socio-economic features with COVID-19 infection in Massachusetts, USA: An ecological study

  Yucheng Wang, Thomas C. Tsai, Dustin T. Duncan, John Ji

  14-01-2022

  https://doi.org/10.4081/gh.2022.1017

  5783

  PDF: 1091

  Appendix: 444

  HTML: 55
• 

  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

  3747

  PDF: 1371

  HTML: 878
• 

  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

  3759

  PDF: 1229

  HTML: 1088
• 

  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

  2332

  PDF: 1123

  HTML: 972
• 

  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

  1776

  PDF: 874

  HTML: 27
• 

  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

  2456

  PDF: 1563

  HTML: 921
• 

  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

  2090

  PDF: 1038

  HTML: 161
• 

  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

  1196

  PDF: 640

  HTML: 87
• 

  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

  3237

  PDF: 1722

  HTML: 891
• 

  Comparison of single- and multi-scale models for the prediction of the Culicoides biting midge distribution in Germany

  Renke Lühken, Jörn Martin Gethmann, Petra Kranz, Pia Steffenhagen, Christoph Staubach, Franz J. Conraths, Ellen Kiel

  31-05-2016

  https://doi.org/10.4081/gh.2016.405

  3369

  PDF: 1116

  HTML: 1464
• 

  Exploring geomasking methods for geoprivacy: a pilot study in an environment with built features

  Alok Tiwari, Sohail Ahmad, Emad Qurunflah, Mansour Helmi, Ayad Almaimani, Alaa Alaidroos, Majed Mustafa Hallawani

  17-10-2023

  https://doi.org/10.4081/gh.2023.1205

  1371

  PDF: 686

  HTML: 350
• 

  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

  2043

  PDF: 582

  HTML: 108
• 

  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

  4217

  PDF: 1995

  HTML: 1504
• 

  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

  2358

  PDF: 1105

  HTML: 40
• 

  The geographic environment and the frequency of falling: a study of mortality outcomes in elderly people in China

  Yi Huang, Chen Li, Xianjing Lu, Yue Wang

  25-05-2023

  https://doi.org/10.4081/gh.2023.1180

  1013

  PDF: 600

  HTML: 19
• 

  Urban gentrification and infectious diseases: an interdisciplinary narrative review

  Behzad Kiani, Gabriel Parker, Senobar Naderian, Colleen L. Lau, Benn Sartorius

  07-07-2025

  https://doi.org/10.4081/gh.2025.1388

  1398

  PDF: 588

  HTML: 95
• 

  Accessibility evaluation of urban basic public service facilities for persons with disabilities: a case study of central Beijing

  Ying Sun, Xiangfeng Li, Zhizhe Sun, Weiyang Jia

  02-02-2026

  https://doi.org/10.4081/gh.2026.1460

  642

  PDF: 355

  HTML: 12
• 

  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

  1470

  PDF: 438

  HTML: 96

• Measuring geographic access to emergency obstetric care: a comparison of travel time estimates modelled using Google Maps Directions API and AccessMod in three Nigerian conurbations

  Peter M. Macharia, Kerry L.M. Wong, Lenka Beňová, Jia Wang, Prestige Tatenda Makanga, Nicolas Ray, Aduragbemi Banke-Thomas

  27-05-2024

  https://doi.org/10.4081/gh.2024.1266

  3047

  PDF: 952

  Supplementary Materials: 162

  HTML: 244
• 

  Application of decision tree for prediction of cutaneous leishmaniasis incidence based on environmental and topographic factors in Isfahan Province, Iran

  Roghieh Ramezankhani, Nooshin Sajjadi, Roya Nezakati Esmaeilzadeh, Seyed Ali Jozi, Mohammad Reza Shirzadi

  08-05-2018

  https://doi.org/10.4081/gh.2018.664

  1783

  PDF: 1013

  HTML: 173

• 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

  1179

  PDF: 731

  Supplementary Materials: 155

  HTML: 68
• 

  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

  1764

  PDF: 821

  HTML: 21
• 

  A Bayesian spatiotemporal Poisson conditional autoregressive model for dengue haemorrhagic fever in Indonesia integrating satellite-generated environmental data

  Sukarna Sukarna, Hari Wijayanto, Yenni Angraini, Anang Kurnia

  18-07-2025

  https://doi.org/10.4081/gh.2025.1379

  1250

  PDF: 590

  HTML: 56
• 

  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

  498

  PDF: 205

  Supplementary materials: 30

  HTML: 8
• 

  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

  5447

  PDF: 2685

  HTML: 804
• 

  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

  2951

  PDF: 1581
• 

  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

  2861

  PDF: 1089

  HTML: 66
• 

  Correlation analysis of air pollutant index levels and dengue cases across five different zones in Selangor, Malaysia

  Loshini Thiruchelvam, Sarat C. Dass, Rafdzah Zaki, Abqariyah Yahya, Vijanth S. Asirvadam

  07-05-2018

  https://doi.org/10.4081/gh.2018.613

  2347

  PDF: 1335

  HTML: 337
• 

  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

  808

  PDF: 339

  Supplementary materials: 82

  HTML: 22
• 

  Ecological characterization of a cutaneous leishmaniasis outbreak through remotely sensed land cover changes

  Verónica Andreo, Juan Rosa, Karina Ramos, O. Daniel Salomón

  06-05-2022

  https://doi.org/10.4081/gh.2022.1033

  1847

  PDF: 951

  Appendix: 172

  HTML: 41
• 

  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

  459

  PDF: 160

  HTML: 8
• 

  Neighbourhood-level housing quality indices for health assessment in Dakar, Senegal

  Assane N. Gadiaga, Florence De Longueville, Stefanos Georganos, Tais Grippa, Sébastien Dujardin, Aminata Niang Diène, Bruno Masquelier, Mouhamadou Diallo, Catherine Linard

  05-05-2021

  https://doi.org/10.4081/gh.2021.910

  2704

  PDF: 1044

  HTML: 181
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  Predicting the spatial distribution of Biomphalaria straminea, a potential intermediate host for Schistosoma mansoni, in China

  Mohamed R. Habib, Yun-Hai Guo, Shan Lv, Wen-Biao Gu, Xiao-Heng Li, Xiao-Nong Zhou

  29-11-2016

  https://doi.org/10.4081/gh.2016.453

  4018

  PDF: 1520

  HTML: 1146
• 

  Environmental and geographical factors influence malaria transmission in KwaZulu-Natal province, South Africa

  Osadolor Ebhuoma, Michael Gebreslasie, Oswaldo Villena, Ali Arab

  09-06-2025

  https://doi.org/10.4081/gh.2025.1370

  1291

  PDF: 836

  HTML: 137
• 

  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

  737

  PDF: 288

  HTML: 13
• 

  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

  2907

  PDF: 1031

  HTML: 818
• 

  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

  1790

  PDF: 1145

  Appendix: 163

  HTML: 217
• 

  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

  2507

  PDF: 1107

  HTML: 112
• 

  A topological multilayer model of the human body

  Antonio Barbeito, Marco Painho, Pedro Cabral, João O'Neill

  04-11-2015

  https://doi.org/10.4081/gh.2015.375

  3239

  PDF: 1269

  HTML: 1574
• 

  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

  2426

  PDF: 856

  HTML: 81
• 

  Epidemiological aspects and spatial distribution of human and canine visceral leishmaniasis in an endemic area in northeastern Brazil

  Roseane Campos, Márcio Santos, Gabriel Tunon, Luana Cunha, Lucas Magalhães, Juliana Moraes, Danielle Ramalho, Sanmy Lima, José Antônio Pacheco, Michael Lipscomb, Amélia Ribeiro de Jesus, Roque Pacheco de Almeida

  11-05-2017

  https://doi.org/10.4081/gh.2017.503

  5647

  PDF: 2189

  HTML: 1156
• 

  Dengue risk-mapping in an Amazonian locality in Colombia based on regression and multi-criteria analysis

  Maria Camila Lesmes , Alvaro Ávila-Díaz, Erika Santamaría, Carlos Andrés Morales , Horacio Cadena, Patricia Fuya, Nicolas Frutos, Ximena Porcasi, Catalina Marceló-Díaz

  04-06-2025

  https://doi.org/10.4081/gh.2025.1292

  1789

  PDF: 472

  HTML: 58
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  A geographical information system model to define COVID-19 problem areas with an analysis in the socio-economic context at the regional scale in the North of Spain

  Olga De Cos, Valentín Castillo-Salcines, David Cantarero-Prieto

  18-03-2022

  https://doi.org/10.4081/gh.2022.1067

  1829

  PDF: 620

  HTML: 47
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  Using object-based image analysis to map commercial poultry operations from high resolution imagery to support animal health outbreaks and events

  Susan Maroney, MaryJane McCool-Eye, Andrew Fox, Christopher Burdett

  10-12-2020

  https://doi.org/10.4081/gh.2020.919

  2747

  PDF: 933

  HTML: 153
• 

  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

  3439

  PDF: 1835

  HTML: 1331
• 

  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

  2927

  PDF: 1291

  HTML: 892
• 

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

  Azizur Rahman

  08-05-2017

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

  4394

  PDF: 1986

  HTML: 1374
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  Comparison of complete and spatial sampling frames for estimation of the prevalence of hypertension and diabetes mellitus

  Vasna Joshua, Kamaraj Pattabi, Yuvaraj Jeyaraman, Prabhdeep Kaur, Tarun Bhatnagar, Suresh Arunachalam, Sabarinathan Ramasamy, Venkateshprabhu Janagaraj, Manoj V Murhekar

  30-11-2022

  https://doi.org/10.4081/gh.2022.1097

  2318

  PDF: 944

  HTML: 124

• A conceptional model integrating geographic information systems (GIS) and social media data for disease exposure assessment

  Jerry Enoe , Michael Sutherland, Dexter Davis, Bheshem Ramlal, Charisse Griffith-Charles , Keston H. Bhola, Elsai Mati Asefa

  28-03-2024

  https://doi.org/10.4081/gh.2024.1264

  3031

  PDF: 908

  HTML: 101
• 

  Health, environmental change and adaptive capacity; mapping, examining and anticipating future risks of water-related vector-borne diseases in eastern Africa

  David Taylor, Stefan Kienberger, Jack B. Malone, Adrian M. Tompkins

  18-02-2016

  https://doi.org/10.4081/gh.2016.464

  3623

  PDF: 1664

  HTML: 1118
• 

  Mapping displaced populations with reference to social vulnerabilities for post-disaster public health management

  Junaid Ahmad, Anees Ahmad, Mokbul Morshed Ahmad, Nafees Ahmad

  27-11-2017

  https://doi.org/10.4081/gh.2017.576

  3613

  PDF: 1348

  HTML: 1431

• Spatio-temporal dynamics of global H5N1 outbreaks match bird migration patterns

  Yali Si, Andrew K. Skidmore, Tiejun Wang, Willem F. de Boer, Pravesh Debba, Albert G. Toxopeus, Lin Li, Herbert H.T. Prins

  65-78

  01-11-2009

  https://doi.org/10.4081/gh.2009.211

  5913

  PDF: 1608

• Developing operational algorithms using linear and non-linear squares estimation in Python® for the identification of Culex pipiens and Culex restuans in a mosquito abatement district (Cook County, Illinois, USA)

  Benjamin G. Jacob, Weidong Gu, Erik X. Caamano, Robert J. Novak

  157-176

  01-05-2009

  https://doi.org/10.4081/gh.2009.218

  1634

  PDF: 1033
• 

  Random forest variable selection in spatial malaria transmission modelling in Mpumalanga Province, South Africa

  Thandi Kapwata, Michael T. Gebreslasie

  16-11-2016

  https://doi.org/10.4081/gh.2016.434

  4315

  PDF: 1910

  APPENDIX 1: 464

  APPENDIX 2: 492

  HTML: 1650
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  Predicting frequency distribution and influence of sociodemographic and behavioral risk factors of Schistosoma mansoni infection and analysis of co-infection with intestinal parasites

  Carla V.V. Rollemberg, Marília M.B.L. Silva, Karla C. Rollemberg, Fábio R. Amorim, Nayanna M.N. Lessa, Marcos D.S. Santos, Acácia M.B. Souza, Enaldo V. Melo, Roque P. Almeida, Ângela M. Silva, Guilherme L. Werneck, Mario A. Santos, José A.P. Almeida, Amélia R. Jesus

  18-05-2015

  https://doi.org/10.4081/gh.2015.303

  4914

  PDF: 2018

  HTML: 1093
• 

  Changes in geographic clustering of post-traumatic stress disorder and post-traumatic growth seven years after an earthquake in Cauquenes, Chile

  Marcelo Leiva-Bianchi, Carlos Mena, Yony Ormazábal, Carlos Serrano, Pedro Rojas

  26-11-2020

  https://doi.org/10.4081/gh.2020.886

  2520

  PDF: 926

  HTML: 14
• 

  A post-pandemic analysis of air pollution over small-sized urban areas in southern Thailand following the COVID-19 lockdown

  Dimitris Stratoulias, Beomgeun Jang, Narissara Nuthammachot

  07-07-2025

  https://doi.org/10.4081/gh.2025.1354

  1050

  PDF: 433

  Supplementary Materials: 98

  HTML: 58

• Combining global positioning system and accelerometer data to determine the locations of physical activity in children

  Nicolas M. Oreskovic, Jeff Blossom, Alison E. Field, Sylvia R. Chiang, Jonathan P. Winickoff, Ronald E. Kleinman

  263-272

  01-05-2012

  https://doi.org/10.4081/gh.2012.144

  4075

  PDF: 1585
• 

  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

  2734

  PDF: 578

  HTML: 59
• 

  Prehistoric human migrations: a prospective subject for modelling using geographical information systems

  Robert Bergquist

  25-05-2023

  https://doi.org/10.4081/gh.2023.1210

  1502

  PDF: 543

  HTML: 62
• 

  Spatial and spatio-temporal analysis of malaria in the state of Acre, western Amazon, Brazil

  Leonardo Augusto Kohara Melchior, Francisco Chiaravalloti Neto

  16-11-2016

  https://doi.org/10.4081/gh.2016.443

  4204

  PDF: 1973

  HTML: 1401

• Enhancing GeoHealth: A step-by-step procedure for spatiotemporal disease mapping

  Bart Roelofs, Gerd Weitkamp

  23-10-2024

  https://doi.org/10.4081/gh.2024.1287

  1177

  PDF: 468

  Supplementary Materials: 192

  HTML: 398
• 

  Prediction of dengue cases using the attention-based long short-term memory (LSTM) approach

  Mokhalad A. Majeed, Helmi Z. M. Shafri, Aimrun Wayayok, Zed Zulkafli

  25-05-2023

  https://doi.org/10.4081/gh.2023.1176

  2947

  PDF: 1255

  Supplementary Materials: 199

  HTML: 118
• 

  From Snow’s map of cholera transmission to dynamic catchment boundary delineation: current front lines in spatial analysis

  Behzad Kiani, Colleen Lau, Robert Bergquist

  26-10-2023

  https://doi.org/10.4081/gh.2023.1247

  2086

  PDF: 889

  HTML: 37

• Examination of multidimensional geographic mobility and sexual behaviour among Black cisgender sexually minoritized men in Chicago

  Aleya Khalifa, Byoungjun Kim, Seann Regan, Tyrone Moline, Basile Chaix, Yen-Tyng Chen, John Schneider, Dustin T. Duncan

  16-05-2024

  https://doi.org/10.4081/gh.2024.1273

  1731

  PDF: 863

  HTML: 70
• 

  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

  2935

  PDF: 1002

  HTML: 800
• 

  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

  765

  PDF: 650

  Supplementary materials: 83

  HTML: 20

• 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

  1157

  PDF: 401

  Supplementary Materials: 274

  HTML: 76
• 

  A 24-year exploratory spatial data analysis of Lyme disease incidence rate in Connecticut, USA

  Abolfazl Mollalo, Jason K. Blackburn, Lillian R. Morris, Gregory E. Glass

  08-11-2017

  https://doi.org/10.4081/gh.2017.588

  3212

  PDF: 1372

  HTML: 1035
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  Spatial and temporal changes in household structure locations using high-resolution satellite imagery for population assessment: an analysis in southern Zambia, 2006-2011

  Timothy Shields, Jessie Pinchoff, Jailos Lubinda, Harry Hamapumbu, Kelly Searle, Tamaki Kobayashi, Philip E. Thuma, William J. Moss, Frank C. Curriero

  31-05-2016

  https://doi.org/10.4081/gh.2016.410

  2310

  PDF: 1137

  HTML: 915
• 

  Risk areas for hepatitis A, B and C in the municipality of Maringá, Paraná 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

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