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• 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

  1733

  PDF: 863

  HTML: 70
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  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

  3239

  PDF: 1722

  HTML: 891
• 

  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

  3762

  PDF: 1229

  HTML: 1088
• 

  Intra-urban differences underlying leprosy spatial distribution in central Brazil: geospatial techniques as potential tools for surveillance

  Amanda G. Carvalho, Carolina Lorraine H. Dias, David J. Blok, Eliane Ignotti, João Gabriel G. Luz

  06-10-2023

  https://doi.org/10.4081/gh.2023.1227

  1516

  PDF: 712

  Supplementary Materials: 123

  HTML: 21
• 

  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

  3242

  PDF: 1270

  HTML: 1575
• 

  Spatial variations of COVID-19 risk by age in Toronto, Canada

  Nushrat Nazia

  20-07-2022

  https://doi.org/10.4081/gh.2022.1100

  1180

  PDF: 519

  Appendix: 192

  HTML: 142
• 

  Urban environmental clustering to assess the spatial dynamics of Aedes aegypti breeding sites

  Guillermo Albrieu-Llinás, Manuel O. Espinosa, Agustín Quaglia, Marcelo Abril, Carlos Marcelo Scavuzzo

  07-05-2018

  https://doi.org/10.4081/gh.2018.654

  3169

  PDF: 1475

  HTML: 199
• 

  The spatiotemporal dynamics and structural covariates of homicide in the Republic of Korea, 2008-2017: A dynamic spatial panel data approach

  Yunho Yeom, Jaehun Choi

  09-05-2022

  https://doi.org/10.4081/gh.2022.1040

  1088

  PDF: 744

  HTML: 40
• 

  Fine scale mapping of malaria infection clusters by using routinely collected health facility data in urban Dar es Salaam, Tanzania

  Yeromin P. Mlacha, Prosper P. Chaki, Alpha D. Malishee, Victoria M. Mwakalinga, Nicodem J. Govella, Alex J. Limwagu, John M. Paliga, Daniel F. Msellemu, Zawadi D. Mageni, Dianne J. Terlouw, Gerry F. Killeen, Stefan Dongus

  11-05-2017

  https://doi.org/10.4081/gh.2017.494

  4746

  PDF: 1726

  HTML: 1297
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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

  5785

  PDF: 1092

  Appendix: 444

  HTML: 55
• 

  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

  6293

  PDF: 2877

  HTML: 1232
• 

  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

  7330

  PDF: 2554

  APPENDIX: 1185

  HTML: 5446

• Neighbourhood alcohol availability and gonorrhea rates: impact of social capital

  Katherine P. Theall, Richard Scribner, Bonnie Ghosh-Dastidar, Deborah Cohen, Karen Mason, Neal Simonsen

  241-255

  01-05-2009

  https://doi.org/10.4081/gh.2009.224

  2368

  PDF: 859
• 

  Associating socio-economic factors with access to public healthcare facilities using geographically weighted regression in the city of Tshwane, South Africa

  Thabiso Moeti, Tholang Mokhele, Solomon Tesfamichael

  20-11-2024

  https://doi.org/10.4081/gh.2024.1288

  3886

  PDF: 711

  HTML: 96
• 

  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

  1793

  PDF: 472

  HTML: 58
• 

  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

  1765

  PDF: 824

  HTML: 21
• 

  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

  5448

  PDF: 2687

  HTML: 805

• Alcohol outlet density and alcohol consumption in Los Angeles county and southern Louisiana

  Matthias Schonlau, Richard Scribner, Thomas A. Farley, Katherine P. Theall, Ricky N. Bluthenthal, Molly Scott, Deborah A. Cohen

  91-101

  01-11-2008

  https://doi.org/10.4081/gh.2008.235

  2708

  PDF: 1084
• 

  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

  5518

  PDF: 1957

  HTML: 1910
• 

  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
• 

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

  Azizur Rahman

  08-05-2017

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

  4395

  PDF: 1986

  HTML: 1374
• 

  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

  2509

  PDF: 1108

  HTML: 112

• Relative contributions of neighbourhood and animal movements to Coxiella burnetii infection in dairy cattle herds

  Simon Nusinovici, Thierry Hoch, Stefan Widgren, Alain Joly, Ann Lindberg, François Beaudeau

  471-477

  01-05-2014

  https://doi.org/10.4081/gh.2014.36

  4823

  PDF: 1170
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  CutL: an alternative to Kulldorff's scan statistics for cluster detection with a specified cut-off level

  Barbara Więckowska, Justyna Marcinkowska

  06-11-2017

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

  2458

  PDF: 769

  HTML: 899
• 

  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

  2336

  PDF: 1124

  HTML: 972

• Multilevel spatio-temporal dual changepoint models for relating alcohol outlet destruction and changes in neighbourhood rates of assaultive violence

  Qingzhao Yu, Richard Scribner, Brad Carlin, Katherine Theall, Neal Simonsen, Bonnie Ghosh-Dastidar, Deborah Cohen, Karen Mason

  161-172

  01-05-2008

  https://doi.org/10.4081/gh.2008.240

  1954

  PDF: 1034
• 

  Spatial multilevel modelling male partners’ influence on women’s modern contraceptive use: a study in Angola and Zambia

  Kabeya Clement Mulamba

  12-05-2025

  https://doi.org/10.4081/gh.2025.1340

  1460

  PDF: 305

  HTML: 59
• 

  Integrating agent-based disease, mobility and wastewater models for the study of the spread of communicable diseases

  Néstor DelaPaz-Ruíz, Ellen-Wien Augustijn, Mahdi Farnaghi, Sheheen A. Abdulkareem, Raul Zurita Milla

  11-02-2025

  https://doi.org/10.4081/gh.2025.1326

  2460

  PDF: 661

  Supplementary Materials: 397

  HTML: 221
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  A methodology for combining multiple commercial data sources to improve measurement of the food and alcohol environment: applications of geographical information systems

  Dara D. Mendez, Jessica Duell, Sarah Reiser, Deborah Martin, Robert Gradeck, Anthony Fabio

  71-96

  01-11-2014

  https://doi.org/10.4081/gh.2014.7

  2689

  PDF: 1385
• 

  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

  1399

  PDF: 588

  HTML: 95
• 

  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

  2939

  PDF: 1002

  HTML: 800
• 

  Mapping the risk for transmission of urban schistosomiasis in the Brazilian Northeast

  Emília Carolle Azevedo de Oliveira, Iris Edna Pereira da Silva, Ricardo José Ferreira, Ricardo José de Paula Souza e Guimarães, Elainne Christine de Souza Gomes, Constança Simões Barbosa

  29-12-2020

  https://doi.org/10.4081/gh.2020.861

  2716

  PDF: 1068

  HTML: 68
• 

  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

  510

  PDF: 208

  Supplementary materials: 30

  HTML: 8
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  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

  2706

  PDF: 1047

  HTML: 181
• 

  Spatio-temporal analysis of leptospirosis in Brazil and its relationship with flooding

  Alice Nardoni Marteli, Laurindo Antonio Guasselli , Décio Diament , Gabriele Ozório Wink , Vitor Vieira Vasconcelos

  29-11-2022

  https://doi.org/10.4081/gh.2022.1128

  2809

  PDF: 1706

  HTML: 219
• 

  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

• 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

  2523

  PDF: 701

  HTML: 59
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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

  3289

  PDF: 1454

  HTML: 1227
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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

  4218

  PDF: 1995

  HTML: 1504
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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

  2561

  PDF: 1447

  HTML: 236
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  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

  2119

  PDF: 967

  HTML: 42
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  Spatio-temporal outbreaks of campylobacteriosis and the role of fresh-milk vending machines in the Czech Republic: A methodological study

  Lukáš Marek, Vít Pászto

  08-11-2017

  https://doi.org/10.4081/gh.2017.572

  2834

  PDF: 820

  HTML: 849

• Successful outcome of an integrated strategy for the reduction of schistosomiasis transmission in an endemically complex area

  Shi-Zhu Li, Ying-Jun Qian, Kun Yang, Qiang Wang, Hua-Ming Zhang, Jun Liu, Mu-Hua Chen, Xi-Bao Huang, Yin-Long Xu, Robert Bergquist, Xiao-Nong Zhou

  215-220

  01-05-2012

  https://doi.org/10.4081/gh.2012.139

  2845

  PDF: 871
• 

  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

  842

  PDF: 431

  HTML: 30
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  Bayesian spatial modelling of contraception effects on fertility in Mexican municipalities in 2020

  Gerardo Núñez Medina

  17-05-2022

  https://doi.org/10.4081/gh.2022.1080

  1247

  PDF: 660

  HTML: 150
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  Does mobility restriction significantly control infectious disease transmission? Accounting for non-stationarity in the impact of COVID-19 based on Bayesian spatially varying coefficient models

  I Gede Nyoman Mindra Jaya, Anna Chadidjah, Farah Kristiani, Gumgum Darmawan, Jane Christine Princidy

  25-05-2023

  https://doi.org/10.4081/gh.2023.1161

  1438

  PDF: 601

  HTML: 24
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  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

  3752

  PDF: 1375

  HTML: 878

• Assessing the risk for dengue fever based on socioeconomic and environmental variables in a geographical information system environment

  Hassan M. Khormi, Lalit Kumar

  171-176

  01-05-2012

  https://doi.org/10.4081/gh.2012.135

  3512

  PDF: 1400
• 

  Spatial association between the incidence rate of COVID-19 and poverty in the São Paulo municipality, Brazil

  Marcos César Ferreira

  26-11-2020

  https://doi.org/10.4081/gh.2020.921

  7499

  PDF: 1497

  Appendix: 185

  HTML: 34
• 

  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

  2786

  PDF: 1322

  APPENDIX: 484

  HTML: 1155

• Childhood stunting in Indonesia: assessing the performance of Bayesian spatial conditional autoregressive models

  Aswi Aswi, Septian Rahardiantoro, Anang Kurnia, Bagus Sartono , Dian Handayani, Nurwan Nurwan, Susanna Cramb

  03-10-2024

  https://doi.org/10.4081/gh.2024.1321

  1939

  PDF: 736

  HTML: 133
• 

  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

  466

  PDF: 160

  HTML: 8
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  Analytical report of the 2016 dengue outbreak in Córdoba city, Argentina

  Camilo Rotela, Laura Lopez, María Frías Céspedes, Gabriela Barbas, Andrés Lighezzolo, Ximena Porcasi, Mario A. Lanfri, Carlos M. Scavuzzo, David E. Gorla

  06-11-2017

  https://doi.org/10.4081/gh.2017.564

  3463

  PDF: 1380

  HTML: 864

• Spatial patterns and eco-epidemiological systems - part II: characterising spatial patterns of the occurrence of the insect vectors of Chagas disease based on remote sensing and field data

  Emmanuel Roux, Annamaria de Fátima Venâncio, Jean-François Girres, Christine A. Romaña

  53-64

  01-11-2011

  https://doi.org/10.4081/gh.2011.157

  1564

  PDF: 847
• 

  Leptospirosis and its spatial and temporal relations with natural disasters in six municipalities of Santa Catarina, Brazil, from 2000 to 2016

  Ana Elisa Pereira Silva, Francisco Chiaravalloti Neto, Gleice Margarete de Souza Conceição

  26-11-2020

  https://doi.org/10.4081/gh.2020.903

  2880

  PDF: 1170

  HTML: 69
• 

  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

  2324

  PDF: 945

  HTML: 124

• Spatial patterns and eco-epidemiological systems - part I: multi-scale spatial modelling of the occurrence of Chagas disease insect vectors

  Emmanuel Roux, Annamaria de Fátima Venâncio, Jean-François Girres, Christine A. Romaña

  41-51

  01-11-2011

  https://doi.org/10.4081/gh.2011.156

  1611

  PDF: 982
• 

  Urbanisation and its effect on risk factors associated with childhood diarrhoea in Mbour, Senegal: A visualisation

  Sokhna Thiam, Samuel Fuhrimann, Aminata Niang-Diène, Ibrahima Sy, Ousmane Faye, Jürg Utzinger, Guéladio Cissé

  27-11-2017

  https://doi.org/10.4081/gh.2017.632

  2578

  PDF: 1014

  VIDEO: 0

  HTML: 882
• 

  Child mortality inequalities across Rwanda districts: a geoadditive continuous-time survival analysis

  François Niragire, Thomas N.O. Achia, Alexandre Lyambabaje, Joseph Ntaganira

  11-05-2017

  https://doi.org/10.4081/gh.2017.450

  3184

  PDF: 1836

  HTML: 1394
• 

  Spatial heterogeneity of quality, use and spending on medicare for the elderly

  Felipa de Mello-Sampayo

  07-05-2018

  https://doi.org/10.4081/gh.2018.655

  2140

  PDF: 936

  HTML: 117

• Socio-geographical factors in vulnerability to dengue in Thai villages: a spatial regression analysis

  Mathuros Tipayamongkholgul, Sunisa Lisakulruk

  191-198

  01-05-2011

  https://doi.org/10.4081/gh.2011.171

  4289

  PDF: 1722
• 

  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

  2092

  PDF: 1039

  HTML: 161

• Contacts between poultry farms, their spatial dimension and their relevance for avian influenza preparedness

  Lena Fiebig, Timo Smieszek, Jennifer Saurina, Jan Hattendorf, Jakob Zinsstag

  79-95

  01-11-2009

  https://doi.org/10.4081/gh.2009.212

  1999

  PDF: 920
• 

  Identification and analysis of spatial access disparities related to primary healthcare in Batna City, Algeria

  Ahmed Akakba, Belkacem Lahmar

  14-12-2023

  https://doi.org/10.4081/gh.2023.1238

  2085

  PDF: 1141

  HTML: 44
• 

  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

  370

  PDF: 218

  Supplementary materials: 32

  HTML: 25
• 

  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

  2850

  PDF: 1402

  HTML: 1229
• 

  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

  2910

  PDF: 1032

  HTML: 818
• 

  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
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  Spatio-temporal analysis of fox rabies cases in Germany 2005-2006

  Matthias Eckardt, Conrad Freuling, Thomas Müller, Thomas Selhorst

  03-06-2015

  https://doi.org/10.4081/gh.2015.313

  2895

  PDF: 1269

  HTML: 1214

• 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

  1161

  PDF: 401

  Supplementary Materials: 274

  HTML: 76
• 

  The influence of urban heat islands and socioeconomic factors on the spatial distribution of Aedes aegypti larval habitats

  Thiago S. de Azevedo, Brian Patrick Bourke, Rafael Piovezan, Maria Anice M. Sallum

  08-05-2018

  https://doi.org/10.4081/gh.2018.623

  3142

  PDF: 1495

  HTML: 574
• 

  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

  2197

  PDF: 1247

  HTML: 867
• 

  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

  185

  PDF: 151

  Supplementary materials: 27

  HTML: 4
• 

  The future of spatial epidemiology in the AI era: enhancing machine learning approaches with explicit spatial structure

  Nima Kianfar, Benn Sartorius, Colleen L. Lau, Robert Bergquist, Behzad Kiani

  04-06-2025

  https://doi.org/10.4081/gh.2025.1386

  2853

  PDF: 578

  HTML: 72
• 

  Access to dialysis services: A systematic mapping review based on geographical information systems

  Benyamin Hoseini, Nasser Bagheri, Behzad Kiani, Amirabbas Azizi, Hamed Tabesh, Mahmood Tara

  07-05-2018

  https://doi.org/10.4081/gh.2018.577

  3985

  PDF: 1623

  HTML: 213
• 

  Spatio-temporal cluster detection of chickenpox in Valencia, Spain in the period 2008-2012

  Adina Iftimi, Francisco Martínez-Ruiz, Ana Míguez Santiyán, Francisco Montes

  18-05-2015

  https://doi.org/10.4081/gh.2015.341

  3110

  PDF: 1398

  HTML: 1206
• 

  Spatial analysis of congenital heart disease in São Paulo State, Brazil 2012-2022: associations with air pollution, maternal factors and social vulnerability

  Amarílis Bahia Bezerra, Ligia Vizeu Barrozo, Alfredo Pereira de Queiroz

  18-09-2025

  https://doi.org/10.4081/gh.2025.1407

  770

  PDF: 434

  HTML: 20
• 

  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

  2928

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  HTML: 892
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  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

  2558

  PDF: 1192

  HTML: 145
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  Space-time epidemiology and effect of meteorological parameters on influenza-like illness in Phitsanulok, a northern province in Thailand

  Prakash Madhav Nimbalkar, Nitin Kumar Tripathi

  21-11-2016

  https://doi.org/10.4081/gh.2016.447

  2435

  PDF: 1396

  HTML: 1154
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  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

  3291

  PDF: 1714

  HTML: 200
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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

  1831

  PDF: 620

  HTML: 47
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  Mapping malaria risk using geographic information systems and remote sensing: The case of Bahir Dar City, Ethiopia

  Amare Sewnet Minale, Kalkidan Alemu

  07-05-2018

  https://doi.org/10.4081/gh.2018.660

  7317

  PDF: 2547

  HTML: 1234
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  Metropolitan urban hotspots of chronic sleep deprivation: evidence from a community health survey in Gyeongbuk Province, South Korea

  Sun-Bi Um, Jung-Sup Um

  04-11-2015

  https://doi.org/10.4081/gh.2015.382

  3197

  PDF: 1483

  HTML: 1027
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  Spatial pattern of tuberculosis cases in Jos Metropolis, Nigeria in the period 2019-2022

  Augustine Odo Ebonyi, Mary-Jane Ebire Ebonyi, Femi Rufus Tinuola, Isaiah Gwitira

  16-03-2026

  https://doi.org/10.4081/gh.2026.1456

  270

  PDF: 203

  HTML: 12
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  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

  3047

  PDF: 1134

  HTML: 76
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  Mapping of the environmental contamination of Toxoplasma gondii by georeferencing isolates from chickens in an endemic area in Southeast Rio de Janeiro State, Brazil

  Luciana Casartelli-Alves, Maria Regina Reis Amendoeira, Viviane Cardoso Boechat, Luiz Cláudio Ferreira, João Carlos Araujo Carreira, José Leonardo Nicolau, Eloiza Paula de Freitas Trindade, Julia Novaes de Barros Peixoto, Mônica de Avelar Figueiredo Mafra Magalhães, Raquel de Vasconcellos Carvalhaes de Oliveira, Tânia Maria Pacheco Schubach, Rodrigo Caldas Menezes

  18-05-2015

  https://doi.org/10.4081/gh.2015.311

  3467

  PDF: 1500

  HTML: 1516
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  Use of geocoding techniques for epidemiological surveillance in the Federal District, Brazil: a case study using dengue

  Lucas Sanglard, Klauss K. S. Garcia, Walter Massa Ramalho

  02-09-2025

  https://doi.org/10.4081/gh.2025.1403

  912

  PDF: 318

  HTML: 56
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  Disparities in COVID-19 health outcomes among different sub-immigrant groups in the US - a study based on the spatial Durbin model

  Jihoon Jung, Yoonjung Ahn, Joseph Bommarito

  18-03-2022

  https://doi.org/10.4081/gh.2022.1064

  1762

  PDF: 470

  Appendix: 327

  HTML: 15
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  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

  643

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  HTML: 12
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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

  1609

  PDF: 758

  HTML: 37
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  Spread of Ebola virus disease based on the density of roads in West Africa

  Diana Gomez-Barroso, Emilia Velasco, Carmen Varela, Inmaculada Leon, Rosa Cano

  03-11-2017

  https://doi.org/10.4081/gh.2017.552

  2572

  PDF: 819

  APPENDIX: 554

  HTML: 1290
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  Spatial and spatiotemporal dynamics of visceral leishmaniasis in an endemic North-eastern region of Brazil

  Ândria Silveira Almeida, Caíque Jordan Nunes Ribeiro, Camila Caroline Carlini, Rogério Silva Santos, Allan Dantas dos Santos, Débora Santos Tavares, Karina Conceição Gomes Machado de Araújo, Tatiana Rodrigues de Moura, Priscila Lima dos Santos

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  https://doi.org/10.4081/gh.2020.885

  2018

  PDF: 983

  HTML: 56
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  The contrary Russian flu: London 1890-1892

  Walter Peterson

  17-02-2026

  https://doi.org/10.4081/gh.2026.1428

  356

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  HTML: 7
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  Exploring the distribution of risk factors for drop-out from Ponseti treatment for clubfoot across Bangladesh using geospatial cluster analysis

  Manon Pigeolet, Tarinee Kucchal, Matthew T. Hey, Marcia C. Castro, Angela Margaret Evans, Tarsicio Uribe-Leitz, Mohommad Mamun Hossen Chowhury, Sabrina Juran

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  1267

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  Spatiotemporal transmission and socio-climatic factors related to paediatric tuberculosis in north-western Ethiopia

  Kefyalew Addis Alene, Kerri Viney, Emma S. McBryde, Archie C.A. Clements

  27-11-2017

  https://doi.org/10.4081/gh.2017.575

  3778

  PDF: 1279

  APPENDIX: 451

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• Mastering geographically weighted regression: key considerations for building a robust model

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  https://doi.org/10.4081/gh.2024.1271

  8504

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  Spatio-temporal variations and determinants of antenatal care utilization among adolescents in Bulawayo metropolitan area, Zimbabwe: an analysis of routine data, 2019-2024

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  https://doi.org/10.4081/gh.2025.1434

  508

  PDF: 436

  HTML: 39
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  The future of general practitioner care in Lower Saxony, Germany: an analysis of actual vs target states using a GIS-based floating catchment area method

  Jonas Schoo, Frank Schüssler

  19-02-2025

  https://doi.org/10.4081/gh.2025.1339

  2681

  PDF: 808

  HTML: 110
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  Spatial and temporal analysis of the human immunodeficiency virus in an area of social vulnerability in Northeast Brazil

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  3266

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  HTML: 40