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  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

  735

  PDF: 285

  Supplementary materials: 34

  HTML: 11
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  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

  5310

  PDF: 2093

  HTML: 2086
• 

  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

  722

  PDF: 260

  HTML: 14
• 

  One health review of recent Salmonella dynamics and human health outcomes in the United States

  Geoffrey Kangogo, Lavanya Sankaran, Mitesh Rajpurohit, Kate E. Trout

  11-12-2025

  https://doi.org/10.4081/gh.2025.1416

  883

  PDF: 540

  HTML: 77
• 

  A review of spatial technologies with applications for malaria transmission modelling and control in Africa

  Michael T. Gebreslasie

  26-11-2015

  https://doi.org/10.4081/gh.2015.328

  6537

  PDF: 2678

  HTML: 3136
• 

  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

  3218

  PDF: 1515

  HTML: 200
• 

  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

  3499

  PDF: 1605

  HTML: 1252
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  Space-time clustering characteristics of dengue based on ecological, socio-economic and demographic factors in northern Sri Lanka

  Sumiko Anno, Keiji Imaoka, Takeo Tadono, Tamotsu Igarashi, Subramaniam Sivaganesh, Selvam Kannathasan, Vaithehi Kumaran, Sinnathamby Noble Surendran

  26-11-2015

  https://doi.org/10.4081/gh.2015.376

  3953

  PDF: 2254

  HTML: 1272

• 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

  1237

  PDF: 767

  Supplementary Materials: 159

  HTML: 72
• 

  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

  778

  PDF: 307

  HTML: 14
• 

  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

  4864

  PDF: 1775

  HTML: 1302
• 

  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

  2514

  PDF: 935

  HTML: 86
• 

  Spatiotemporal evolution characteristics and attribution analysis of hepatitis A in mainland China

  Xiaodi Su, Chunxia Qiu, Chunhui Liu

  03-12-2024

  https://doi.org/10.4081/gh.2024.1323

  1414

  PDF: 497

  HTML: 39
• 

  Spatial autocorrelation patterns and factors associated with regular alcohol consumption behaviour among Thai men

  Naowarat Maneenin, Warangkana Sungsitthisawad, Chanwit Maneenin, Chananya Jirapornkul, Kittipong Sornlorm, Roshan Kumar Mahato, Wongsa Laohasiriwong

  26-09-2025

  https://doi.org/10.4081/gh.2025.1406

  750

  PDF: 427

  HTML: 30
• 

  Post-traumatic stress in people from the interior drylands of the Maule region, Chile in the context of climate change

  Cristian Cáceres, Marcelo Leiva-Bianchi, Yony Ormazábal, Carlos Mena, Juan Carlos Cantillana

  18-05-2022

  https://doi.org/10.4081/gh.2022.1045

  2305

  PDF: 1130

  HTML: 75
• 

  MALAREO: a user-driven project

  Michael T. Gebreslasie, Ides Bauwens

  04-11-2015

  https://doi.org/10.4081/gh.2015.329

  2914

  PDF: 1297

  HTML: 1016
• 

  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

  5551

  PDF: 2738

  HTML: 810
• 

  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

  3268

  PDF: 1393

  HTML: 1036
• 

  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

  3405

  PDF: 1747

  HTML: 211
• 

  Spatial and temporal dynamic analysis of rabies: A review of current methodologies

  Shuaicheng Chen

  30-11-2022

  https://doi.org/10.4081/gh.2022.1139

  3026

  PDF: 2192

  HTML: 434
• 

  Mapping, cluster detection and evaluation of risk factors of ovine toxoplasmosis in Southern Italy

  Roberto Condoleo, Vincenzo Musella, Maria Paola Maurelli, Antonio Bosco, Giuseppe Cringoli, Laura Rinaldi

  31-05-2016

  https://doi.org/10.4081/gh.2016.432

  2705

  PDF: 1292

  HTML: 1236
• 

  Modelling the domestic poultry population in the United States: A novel approach leveraging remote sensing and synthetic data methods

  Kelly A. Patyk, Mary J. McCool-Eye, David D. South, Christopher L. Burdett, Susan A. Maroney, Andrew Fox, Grace Kuiper, Sheryl Magzamen

  10-12-2020

  https://doi.org/10.4081/gh.2020.913

  4047

  PDF: 1557

  HTML: 198
• 

  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

  1662

  PDF: 511

  Appendix: 265

  HTML: 45
• 

  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

  8562

  PDF: 3574

  HTML: 2715
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  The geo-spatial perspective of biological, social and environmental determinants of early pregnancy anaemia in rural Sri Lanka: Need for context-specific approaches on prevention

  Gayani Shashikala Amarasinghe, Thilini Chanchala Agampodi, Vasana Mendis, Suneth Buddhika Agampodi

  29-11-2022

  https://doi.org/10.4081/gh.2022.1110

  1668

  PDF: 1007

  HTML: 51
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  An investigation of geographical clusters of leptospirosis during the outbreak in Pangandaran, West Java, Indonesia

  Mutiara Widawati, Pandji Wibawa Dhewantara, Raras Anasi, Tri Wahono, Rina Marina, Intan Pandu Pertiwi, Agus Ari Wibowo, Andri Ruliansyah, Muhammad Umar Riandi, Dyah Widiastuti, Endang Puji Astuti

  05-10-2023

  https://doi.org/10.4081/gh.2023.1221

  2313

  PDF: 1155

  HTML: 38

• Aspects of public health development in China’s western region

  Jisha Zhang, Jing Luo, Guolei Chen, Chunyan Zhang, Lianlian Li, Taijia Ma

  15-04-2024

  https://doi.org/10.4081/gh.2024.1252

  2307

  PDF: 639

  HTML: 73
• 

  Spatial pattern evolution of Aedes aegypti breeding sites in an Argentinean city without a dengue vector control programme

  Manuel O. Espinosa, Francisco Polop, Camilo H. Rotela, Marcelo Abril, Carlos M. Scavuzzo

  21-11-2016

  https://doi.org/10.4081/gh.2016.471

  4252

  PDF: 1654

  APPENDIX: 570

  HTML: 1544
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  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

  2462

  PDF: 1871

  HTML: 1148
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  Validation of a spatial liver fluke model under field conditions in Ireland

  Amalia Naranjo Lucena, María Pía Munita Corbalán, Ana María Martínez-Ibeas, Guy McGrath, Riona Sayers, Grace Mulcahy, Annetta Zintl

  07-05-2018

  https://doi.org/10.4081/gh.2018.641

  2444

  PDF: 1091

  HTML: 190
• 

  Spatio-temporal trends and distribution patterns of typhoid disease in Uganda from 2012 to 2017

  Kamukama Ismail, Gilbert Maiga, Denis Ssebuggwawo, Peter Nabende, Ali Mansourian

  07-01-2021

  https://doi.org/10.4081/gh.2020.860

  3881

  PDF: 1237

  HTML: 45
• 

  Socio-economic and environmental factors are related to acute exacerbation of chronic obstructive pulmonary disease incidence in Thailand

  Phuricha Phacharathonphakul, Kittipong Sornlorm

  29-11-2024

  https://doi.org/10.4081/gh.2024.1300

  2189

  PDF: 698

  HTML: 128
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  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

  1319

  PDF: 621

  HTML: 58
• 

  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

  1957

  PDF: 498

  HTML: 61
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  Assessing the effects of air temperature and rainfall on malaria incidence: an epidemiological study across Rwanda and Uganda

  Felipe J. Colòn-González, Adrian M. Tompkins, Riccardo Biondi, Jean Pierre Bizimana, Didacus Bambaiha Namanya

  31-03-2016

  https://doi.org/10.4081/gh.2016.379

  6569

  PDF: 2399

  Appendix: 647

  HTML: 3355

  Appendix: 263
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  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

  2955

  PDF: 1315

  HTML: 893
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  Nigeria’s malaria prevalence in 2015: a geospatial, exploratory district-level approach

  Mina Whyte, Kennedy Mwai Wambui, Eustasius Musenge

  25-11-2024

  https://doi.org/10.4081/gh.2024.1243

  1651

  PDF: 656

  HTML: 117
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  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

  2059

  PDF: 1171

  Appendix: 169

  HTML: 221
• 

  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

  1537

  PDF: 464

  HTML: 102
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  Evaluation of spatial cluster detection methods for dengue fever in the state of Paraiba, Brazil

  Alline Oliveira do Nascimento Veloso, Leonardo Wanderley Lopes, Ronei Marcos de Moraes

  27-10-2025

  https://doi.org/10.4081/gh.2025.1393

  629

  PDF: 384

  HTML: 39
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  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

  2970

  PDF: 1769

  HTML: 223
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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

  3857

  PDF: 1309

  APPENDIX: 455

  HTML: 867
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  Global spreading of Omicron variant of COVID-19

  Pengxin Zhang, Shuhan Yang, Shaoqing Dai, Darren How Jin Aik, Shujuan Yang, Peng Jia

  13-07-2022

  https://doi.org/10.4081/gh.2022.1083

  2142

  PDF: 913

  HTML: 57
• 

  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

  2220

  PDF: 1260

  HTML: 869
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  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

  4458

  PDF: 1941

  APPENDIX 1: 468

  APPENDIX 2: 498

  HTML: 1651
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  Factors associated with the spatial distribution of leprosy: a systematic review of the published literature

  Nathan Guilherme de Oliveira, Bruna Eduarda Bortolomai, Andréa Cristina Bogado, Ida Maria Foschiani Dias-Baptista

  18-09-2025

  https://doi.org/10.4081/gh.2025.1394

  1059

  PDF: 468

  Supplementary materials: 88

  HTML: 19
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  Understanding COVID-19: comparison of spatio-temporal analysis methods used to study epidemic spread patterns in the United States

  Chunhui Liu, Xiaodi Su, Zhaoxuan Dong, Xingyu Liu, Chunxia Qiu

  25-05-2023

  https://doi.org/10.4081/gh.2023.1200

  1826

  PDF: 807

  HTML: 80

• 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

  2950

  PDF: 811

  HTML: 107
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  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

  1865

  PDF: 919

  HTML: 28
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  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

  803

  PDF: 390

  HTML: 9
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  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

  3481

  PDF: 1229

  HTML: 1082
• 

  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

  361

  PDF: 249

  HTML: 15
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  Clusters of malaria cases at sub-district level in endemic area in Java Island, Indonesia

  Dwi Sarwani Sri Rejeki, Sri Nurlaela, Devi Octaviana, Bangun Wijayanto, Solikhah Solikhah

  18-05-2022

  https://doi.org/10.4081/gh.2022.1048

  2294

  PDF: 1508

  HTML: 149
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  Typhoid fever in Jakarta, Indonesia 2017-2023: spatial clustering and seasonality of hospitalization data to inform better intervention

  Mujiyanto Mujiyanto, Basuki Rachmat, Aris Yulianto, Made Agus Nurjana, Wawan Ridwan, Endang Puji Astuti, Doni Lasut, Pandji Wibawa Dhewantara

  15-05-2025

  https://doi.org/10.4081/gh.2025.1372

  2872

  PDF: 1267

  HTML: 706
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  Spatial association and modelling of under-5 mortality in Thailand, 2020

  Suparerk Suerungruang, Kittipong Sornlorm, Wongsa Laohasiriwong, Roshan Kumar Mahato

  31-08-2023

  https://doi.org/10.4081/gh.2023.1220

  1723

  PDF: 983

  HTML: 54
• 

  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

  3466

  PDF: 1131

  HTML: 1466
• 

  Spatial and temporal clustering analysis of pulmonary tuberculosis and its associated risk factors in southwest China

  Jianjiao Wang, Xiaoning Liu, Zhengchao Jing, Jiawai Yang

  25-05-2023

  https://doi.org/10.4081/gh.2023.1169

  1259

  PDF: 904

  HTML: 39
• 

  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

  858

  PDF: 366

  Supplementary materials: 86

  HTML: 28

• Analysing the spatial patterns of livestock anthrax in Kazakhstan in relation to environmental factors: a comparison of local (Gi*) and morphology cluster statistics

  Ian T. Kracalik, Jason K. Blackburn, Larisa Lukhnova, Yerlan Pazilov, Martin E. Hugh-Jones, Alim Aikimbayev

  111-126

  01-11-2012

  https://doi.org/10.4081/gh.2012.110

  2819

  PDF: 1252

• Spatial patterns of intestinal parasite infections among children and adolescents in some indigenous communities in Argentina

  Carlos Matías Scavuzzo, Micaela Natalia Campero, Rosana Elizabeth Maidana, María Georgina Oberto, María Victoria Periago, Ximena Porcasi

  28-05-2024

  https://doi.org/10.4081/gh.2024.1279

  2959

  PDF: 952

  HTML: 93
• 

  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

  2466

  PDF: 1414

  HTML: 1159
• 

  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

  662

  PDF: 216

  HTML: 9
• 

  Snakebite epidemiology in the State of Mexico, Mexico 2003-2024

  Aldo Gómez-Benitez, Erika Adriana Reyes-Velázquez, Edgar Oviedo-Hernández, Laura Sonia Arzate-Garay, Justin Lloyd Rheubert, Oswaldo Hernández-Gallegos

  09-04-2026

  https://doi.org/10.4081/gh.2026.1468

  910

  PDF: 309

  Supplementary Materials: 179

  HTML: 18
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  Province clustering based on the percentage of communicable disease using the BCBimax biclustering algorithm

  Muhammad Nur Aidi, Cynthia Wulandari, Sachnaz Desta Oktarina, Taufiqur Rakhim Aditra, Fitrah Ernawati, Efriwati Efriwati, Nunung Nurjanah, Rika Rachmawati, Elisa Diana Julianti, Dian Sundari, Fifi Retiaty, Aya Yuriestia Arifin, Rita Marleta Dewi, Nazarina Nazaruddin, Salimar Salimar, Noviati Fuada, Yekti Widodo, Budi Setyawati, Nuzuliyati Nurhidayati, Sudikno Sudikno, Irlina Raswanti Irawan, Widoretno Widoretno

  12-09-2023

  https://doi.org/10.4081/gh.2023.1202

  1859

  PDF: 940

  HTML: 123
• 

  Comparing conditional autoregressive models for Bayesian spatial mapping of dengue cases in Indonesia

  Ferra Yanuar, Yudiantri Asdi, Aidinil Zetra, Sofiana Wudlu, Fenni Kurnia Mutiya, Rahmawita Rahmawita

  18-06-2026

  https://doi.org/10.4081/gh.2026.1443

  161

  PDF: 258

  HTML: 2
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  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

  1913

  PDF: 971

  SUPPLEMENTARY: 425

  HTML: 144
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  Spatial analysis of cutaneous leishmaniasis in an endemic area of Iran based on environmental factors

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

  08-11-2017

  https://doi.org/10.4081/gh.2017.578

  3006

  PDF: 1176

  HTML: 956
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  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

  3280

  PDF: 1049

  HTML: 913
• 

  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

  2671

  PDF: 1495

  HTML: 2025
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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

  2867

  PDF: 835

  HTML: 850
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  Spatiotemporal epidemiology of COVID-19 from an epidemic course perspective

  Yuling Huang, Shujuan Yang, Yuxuan Zou, Jianming Su, Canglang Wu, Bo Zhong, Peng Jia

  10-02-2022

  https://doi.org/10.4081/gh.2022.1023

  3494

  PDF: 664

  HTML: 38
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  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

  4442

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  https://doi.org/10.4081/gh.2016.436

  2172

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  Smartphone-assisted spatial data collection improves geographic information quality: pilot study using a birth records dataset

  Xiaohui Xu, Hui Hu, Sandie Ha, Daikwon Han

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  2945

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  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

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

  4042

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  Preferential sampling in veterinary parasitological surveillance

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

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  2378

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  APPENDIX: 665

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  Assessment of the supply/demand balance of medical resources in Beijing from the perspective of hierarchical diagnosis and treatment

  Yuehan Jiang, Xinyu Cai, Yanhui Wang, Junwu Dong, Mengqin Yang

  13-10-2023

  https://doi.org/10.4081/gh.2023.1228

  1890

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  Spatio-temporal analysis and visualisation of the anthrax epidemic situation in livestock in Kazakhstan over the period 1933-2016

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  3922

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  Moran’s I and Geary’s C: investigation of the effects of spatial weight matrices for assessing the distribution of infectious diseases

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  2580

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  Supplementary materials: 221

  HTML: 117
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  Analytical report of the 2016 dengue outbreak in Córdoba city, Argentina

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  3535

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  HTML: 865
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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

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  3348

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  Habitat suitability map of Ixodes ricinus tick in France using multi-criteria analysis

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  https://doi.org/10.4081/gh.2022.1058

  7326

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  Appendix: 403

  HTML: 382
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  Physical inactivity displays a mediator role in the association of diabetes and poverty: A spatiotemporal analysis

  Lung-Chang Chien, Xiao Li, Amanda Staudt

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  https://doi.org/10.4081/gh.2017.528

  2979

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

  Benn Sartorius, Kurt Sartorius

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

  2763

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  HTML: 1035
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  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

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  3079

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  HTML: 90
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  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

  2822

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  APPENDIX: 488

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  Spatial dispersal of Aedes albopictus mosquitoes captured by the modified sticky ovitrap in Selangor, Malaysia

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  https://doi.org/10.4081/gh.2022.1025

  2091

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  Annex I-VI: 177

  HTML: 75
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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

  1834

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  Appendix: 333

  HTML: 16
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  Diagnostic approaches to malaria in Zambia, 2009-2014

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  3708

  PDF: 1475

  HTML: 1173
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  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

  1879

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  Space-time cluster analysis of anemia in pregnant women in the province of Khyber Pakhtunkhwa, Pakistan (2014-2020)

  Sami Ullah, SM Aqil Burney, Tariq Rasheed, Shamaila Burney, Mushtaq Ahmad Khan Barakzia

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  https://doi.org/10.4081/gh.2023.1192

  1207

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  HTML: 53

• A spatial analysis of mental retardation of unknown cause and maternal residence during pregnancy

  Huiling Zhen, Andrew B. Lawson, Suzanne McDermott, Archana Pande Lamichhane, Marjorie Aelion

  173-182

  01-05-2008

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  1532

  PDF: 820
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  Child mortality inequalities across Rwanda districts: a geoadditive continuous-time survival analysis

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

  3225

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  HTML: 1399
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  Spatial and spatio-temporal analysis of malaria in the state of Acre, western Amazon, Brazil

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  16-11-2016

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

  4252

  PDF: 2001

  HTML: 1406
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  Cascading effects of COVID-19 on population mobility and air quality: An exploration including place characteristics using geovisualization

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  17-02-2022

  https://doi.org/10.4081/gh.2022.1056

  2404

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  HTML: 61
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  The use of geographic information system as a tool for schistosomiasis surveillance in the province of Davao del Norte, the Philippines

  Vicente Y. Belizario, John Paul Caesar R. delos Trinos, Berne Silawan, Chiqui M. De Veyra, Agapito Hornido, Hansel Amoguis, Dominic Basalo, Cherry Dema-ala, Irenn Mantilla, Rosele Layan

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  7550

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  A Bayesian spatial ecological analysis of social conditions, infection burden and COVID-19 mortality across mainland Scottish councils 2020-2021

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  229

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  Supplementary Materials: 24

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  Spatiotemporal distribution and geostatistically interpolated mapping of the melioidosis risk in an endemic zone in Thailand

  Jaruwan Wongbutdee, Jutharat Jittimanee, Wacharapong Saengnill

  05-07-2023

  https://doi.org/10.4081/gh.2023.1189

  1893

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  HTML: 71
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  Spatial and spatiotemporal dynamics of visceral leishmaniasis in an endemic North-eastern region of Brazil

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

  2051

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  HTML: 61
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  Bayesian spatial Durbin modelling of stunting prevalence across Indonesian districts

  Ferra Yanuar, Yudiantri Asdi, Sandi Sandi, Aidinil Zetra, Fenni Kurnia Mutiya, Ade Suzana Eka Putri

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  https://doi.org/10.4081/gh.2026.1441

  318

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