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  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

  594

  PDF: 207

  Supplementary materials: 53

  HTML: 14
• 

  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

  7983

  PDF: 3344

  HTML: 2676
• 

  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

  5158

  PDF: 2544

  HTML: 763
• 

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

  Sarah Isnan, Ahmad Fikri bin Abdullah, Abdul Rashid Shariff, Iskandar Ishak, Sharifah Norkhadijah Syed Ismail, Maheshwara Rao Appanan

  07-04-2025

  https://doi.org/10.4081/gh.2025.1277

  1820

  PDF: 672

  Supplementary materials: 172

  HTML: 106
• 

  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

  1950

  PDF: 355

  HTML: 6
• 

  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

  1646

  PDF: 901

  HTML: 137
• 

  Application of geo-spatial technology in schistosomiasis modelling in Africa: a review

  Tawanda Manyangadze, Moses John Chimbari, Michael Gebreslasie, Samson Mukaratirwa

  04-11-2015

  https://doi.org/10.4081/gh.2015.326

  4218

  PDF: 2252

  HTML: 2176
• 

  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

  2471

  PDF: 1519

  HTML: 329
• 

  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

  945

  PDF: 627

  HTML: 33
• 

  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

  1624

  PDF: 905

  Appendix: 120

  HTML: 71
• 

  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

  7041

  PDF: 2448

  APPENDIX: 1148

  HTML: 5293
• 

  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

  2009

  PDF: 858

  HTML: 110
• 

  The effects of population mobility on Chinese HIV epidemics in spill-over and influx risks perspectives: a spatial epidemiology analysis

  Yazhen Zhang, Hui Jin

  08-09-2025

  https://doi.org/10.4081/gh.2025.1384

  591

  PDF: 187

  Supplementary materials: 41

  HTML: 22
• 

  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

  1197

  PDF: 378

  HTML: 12
• 

  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

  2349

  PDF: 1020

  HTML: 94
• 

  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

  2024

  PDF: 430

  HTML: 73
• 

  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

  1010

  PDF: 726

  HTML: 23
• 

  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

  1309

  PDF: 634

  Supplementary Materials: 98

  HTML: 15
• 

  Spatial distribution and sociodemographic risk factors of malaria in Nigerian children less than 5 years old

  Chigozie Louisa J. Ugwu, Temesgen Zewotir

  29-12-2020

  https://doi.org/10.4081/gh.2020.819

  3542

  PDF: 1726

  HTML: 696
• 

  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

  175

  PDF: 103

  Supplementary materials: 12

  HTML: 3
• 

  Spatial prediction of the risk of exposure to Echinococcus spp. among schoolchildren and dogs in Ningxia Hui Autonomous Region, People's Republic of China

  Angela M. Cadavid Restrepo, Yu Rong Yang, Donald P. McManus, Darren J. Gray, Tamsin S. Barnes, Gail M. Williams, Ricardo J. Soares Magalhães, Archie C.A. Clements

  07-05-2018

  https://doi.org/10.4081/gh.2018.644

  2100

  PDF: 894

  HTML: 83
• 

  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

  1811

  PDF: 516

  HTML: 53

• 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

  1618

  PDF: 617

  HTML: 101
• 

  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

  7293

  PDF: 1412

  Appendix: 153

  HTML: 26
• 

  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

  540

  PDF: 239

  Supplementary materials: 51

  HTML: 7

• 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

  2504

  PDF: 700

  HTML: 77
• 

  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

  2248

  PDF: 1727

  HTML: 1139
• 

  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

  1578

  PDF: 1062

  HTML: 171
• 

  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

  3994

  PDF: 1935

  HTML: 576
• 

  Spatial heterogeneity in relationship between district patterns of HIV incidence and covariates in Zimbabwe: a multi-scale geographically weighted regression analysis

  Rutendo Birri Makota, Eustasius Musenge

  27-11-2023

  https://doi.org/10.4081/gh.2023.1207

  1441

  PDF: 709

  HTML: 60
• 

  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

  2734

  PDF: 1502

  HTML: 179
• 

  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

  4506

  PDF: 1610

  HTML: 1290
• 

  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

  2168

  PDF: 866

  HTML: 116
• 

  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

  813

  PDF: 229

  HTML: 40
• 

  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

  2650

  PDF: 1262

  APPENDIX: 450

  HTML: 1131
• 

  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

  373

  PDF: 215

  HTML: 13
• 

  Assessing spatial patterns of HIV prevalence and interventions in semi-urban settings in South Africa. Implications for spatially targeted interventions

  Lucy Chimoyi, Zvifadzo Matsena-Zingoni, Salome Charalambous, Edmore Marinda, Samuel Manda, Eustasius Musenge

  29-08-2022

  https://doi.org/10.4081/gh.2022.1084

  2081

  PDF: 534

  Supplementary 1: 125

  Supplementary 2: 292

  HTML: 153
• 

  Hyperendemicity, heterogeneity and spatial overlap of leprosy and cutaneous leishmaniasis in the southern Amazon region of Brazil

  Amanda Gabriela de Carvalho, João Gabriel Guimarães Luz, João Victor Leite Dias, Anuj Tiwari, Peter Steinmann, Eliane Ignotti

  29-12-2020

  https://doi.org/10.4081/gh.2020.892

  2010

  PDF: 959

  HTML: 39
• 

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

  Tariroyashe Chivanganye, Maphios Siamuchembu, Alice Gumbo, Lenka Beňová, Peter M. Macharia

  11-12-2025

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

  207

  PDF: 226

  HTML: 9
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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

  1730

  PDF: 892

  SUPPLEMENTARY: 389

  HTML: 134
• 

  Spatial pattern and heterogeneity of chronic respiratory diseases and relationship to socio-demographic factors in Thailand in the period 2016 to 2019

  Zar Chi Htwe, Wongsa Laohasiriwong, Kittipong Sornlorm, Roshan Mahato

  25-05-2023

  https://doi.org/10.4081/gh.2023.1203

  878

  PDF: 594

  HTML: 12
• 

  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

  738

  PDF: 297

  HTML: 22

• Tuberculosis in Aceh Province, Indonesia: a spatial epidemiological study covering the period 2019–2021

  Farrah Fahdhienie, Frans Yosep Sitepu, Elpiani Br Depari

  03-09-2024

  https://doi.org/10.4081/gh.2024.1318

  1525

  PDF: 714

  HTML: 103
• 

  Sandwich mapping of schistosomiasis risk in Anhui Province, China

  Yi Hu, Robert Bergquist, Henry Lynn, Fenghua Gao, Qizhi Wang, Shiqing Zhang, Rui Li, Liqian Sun, Congcong Xia, Chenglong Xiong, Zhijie Zhang, Qingwu Jiang

  03-06-2015

  https://doi.org/10.4081/gh.2015.324

  3016

  PDF: 1201

  HTML: 1076
• 

  Spatial analysis of the AIDS mortality rate among young people in a province of the Brazilian Amazon: An ecological study

  Sara Melissa Lago Sousa, Andrey Oeiras Pedroso , Iaron Leal Seabra , Glenda Roberta Oliveira Naiff Ferreira, Aline Maria Pereira Cruz Ramos , Sandra Helena Isse Polaro, Eliã Pinheiro Botelho

  29-11-2022

  https://doi.org/10.4081/gh.2022.1102

  936

  PDF: 802

  HTML: 15
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  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

  3293

  PDF: 1161

  HTML: 68
• 

  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

  3163

  PDF: 1398

  HTML: 1221
• 

  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

  2405

  PDF: 1315

  HTML: 217
• 

  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

  376

  PDF: 231

  HTML: 3
• 

  Spatial analysis of the relationship between out-of-pocket expenditure and socioeconomic status in South Korea

  Young-Gyu Kwon, Man-Kyu Choi

  25-05-2023

  https://doi.org/10.4081/gh.2023.1175

  1297

  PDF: 710

  HTML: 42
• 

  Spatial autocorrelation pattern of COVID-19 vaccine coverage in Thailand 2021 and 2022

  Sarayu Muntaphan, Kittipong Sornlorm

  13-05-2025

  https://doi.org/10.4081/gh.2025.1368

  1337

  PDF: 285

  HTML: 58
• 

  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

  1807

  PDF: 538

  HTML: 79

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

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

  29-02-2024

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

  8132

  PDF: 1478

  HTML: 859
• 

  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

  2070

  PDF: 809

  HTML: 518
• 

  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

  3077

  PDF: 1070

  HTML: 34
• 

  Investigating spatiotemporal patterns of the COVID-19 in São Paulo State, Brazil

  Enner Alcântara, José Mantovani, Luiz Rotta, Edward Park, Thanan Rodrigues, Fernando Campos Carvalho, Carlos Roberto Souza Filho

  26-11-2020

  https://doi.org/10.4081/gh.2020.925

  3785

  PDF: 1263

  HTML: 21
• 

  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

  3031

  PDF: 1697

  HTML: 1386
• 

  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

  1867

  PDF: 920

  HTML: 144

• 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

  2306

  PDF: 587

  HTML: 53
• 

  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

  2871

  PDF: 1360

  HTML: 517
• 

  Examination of infant mortality risk in Turkey with spatio-temporal Bayesian models

  Sade Kılıç Yıldırım, Celal Reha Alpar

  14-11-2025

  https://doi.org/10.4081/gh.2025.1396

  198

  PDF: 107

  HTML: 3
• 

  Spatial analysis of stunting determinants in 514 Indonesian districts/cities: Implications for intervention and setting of priority

  Tris Eryando, Tiopan Sipahutar, Meiwita Paulina Budhiharsana, Kemal N. Siregar, Muhammad Nur Aidi, Dr. Minarto, Diah Mulyawati Utari, Martya Rahmaniati, Harimat Hendarwan

  17-05-2022

  https://doi.org/10.4081/gh.2022.1055

  3612

  PDF: 2096

  HTML: 111
• 

  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

  2739

  PDF: 935

  HTML: 771
• 

  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

  2453

  PDF: 1619

  HTML: 968

• 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

  2060

  PDF: 551

  HTML: 62
• 

  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

  3246

  PDF: 1650

  HTML: 1313
• 

  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

  1481

  PDF: 429

  Appendix: 223

  HTML: 33
• 

  Estimating malaria burden in Nigeria: a geostatistical modelling approach

  Nnadozie Onyiri

  04-11-2015

  https://doi.org/10.4081/gh.2015.306

  7291

  PDF: 3076

  HTML: 3265
• 

  Geographically weighted regression for modelling the accessibility to the public hospital network in Concepción Metropolitan Area, Chile

  Marcela Martínez Bascuñán, Carolina Rojas Quezada

  22-11-2016

  https://doi.org/10.4081/gh.2016.451

  3734

  PDF: 1760

  HTML: 2159
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  Use of an ecologically relevant modelling approach to improve remote sensing-based schistosomiasis risk profiling

  Yvonne Walz, Martin Wegmann, Benjamin Leutner, Stefan Dech, Penelope Vounatsou, Eliézer K. N'Goran, Giovanna Raso, Jürg Utzinger

  30-11-2015

  https://doi.org/10.4081/gh.2015.398

  4293

  PDF: 1206

  HTML: 1200
• 

  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

  1366

  PDF: 668

  HTML: 60
• 

  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

  1499

  PDF: 889

  HTML: 129
• 

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

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

  27-01-2025

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

  4211

  PDF: 1491

  HTML: 260
• 

  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

  3891

  PDF: 1512

  APPENDIX: 530

  HTML: 1538
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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

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  18-03-2022

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

  1561

  PDF: 408

  Appendix: 296

  HTML: 9
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  Predicting the spatial distribution of Biomphalaria straminea, a potential intermediate host for Schistosoma mansoni, in China

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

  3841

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  HTML: 1137
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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

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  2690

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  HTML: 935
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  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

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  578

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  HTML: 10
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  Reducing bias in risk indices for COVID-19

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  2922

  PDF: 450

  Appendix: 408

  HTML: 33
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  Modelling homogeneous regions of social vulnerability to malaria in Rwanda

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  31-03-2016

  https://doi.org/10.4081/gh.2016.404

  3698

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  HTML: 2229
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  Spatial air pollution modelling for a West-African town

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

  3656

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  SUPPL. MATERIAL: 437

  HTML: 1083
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  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

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  582

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  HTML: 7
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  Spatial analysis and modelling of depression relative to social vulnerability index across the United States

  Kiara M. Rivera, Abolfazl Mollalo

  01-09-2022

  https://doi.org/10.4081/gh.2022.1132

  4401

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  HTML: 515
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  The effectiveness of the restricted policy on specific venues in Hong Kong: A spatial point pattern view

  Yijia Liu, Wenzhong Shi, Anshu Zhang, Xiaosheng Zhu

  29-11-2022

  https://doi.org/10.4081/gh.2022.1130

  855

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  HTML: 17

• Flexible scan statistic with a restricted likelihood ratio for optimized COVID-19 surveillance

  Ernest Akyereko, Frank B. Osei, Kofi M. Nyarko, Alfred Stein

  26-11-2024

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  804

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  Supplementary Materials: 117

  HTML: 23
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  Spatial association of socioeconomic and health service factors with antibiotic self-medication in Thailand

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  3061

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  Supplementary Materials: 552

  HTML: 250
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  Heterogeneity in a communal cattle-farming system in a zone endemic for foot and mouth disease in South Africa

  Ockert Louis van Schalkwyk, Eva M. De Clercq, Claudia De Pus, Guy Hendrickx, Peter van den Bossche, Darryn L. Knobel

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  2554

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  HTML: 1444
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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

  3527

  PDF: 1215

  APPENDIX: 406

  HTML: 851
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  Environmental and geographical factors influence malaria transmission in KwaZulu-Natal province, South Africa

  Osadolor Ebhuoma, Michael Gebreslasie, Oswaldo Villena, Ali Arab

  09-06-2025

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  860

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  HTML: 56
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  Spatial analysis of the regional variation of hypertensive disease mortality and its socio-economic correlates in South Korea

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  31-05-2016

  https://doi.org/10.4081/gh.2016.420

  2966

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

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  1817

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  HTML: 28
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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

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  1270

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  HTML: 13
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  Balancing geo-privacy and spatial patterns in epidemiological studies

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

  3911

  PDF: 1218

  APPENDIX: 512

  HTML: 953
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  Smartphone-assisted spatial data collection improves geographic information quality: pilot study using a birth records dataset

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  23-11-2016

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  2811

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  Assessing the relationship between environmental factors and malaria vector breeding sites in Swaziland using multi-scale remotely sensed data

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  4171

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

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

  892

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  HTML: 44
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  Effects of weather and landscape on the equine West Nile virus infection risk in Mississippi, USA

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  https://doi.org/10.4081/gh.2015.357

  2053

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

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  2423

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  HTML: 135
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  Spatial-temporal analysis of prostate cancer incidence from the Pennsylvania Cancer Registry, 2000-2011

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  3625

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

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  6203

  PDF: 2257

  Appendix: 597

  HTML: 3301

  Appendix: 243