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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

3400

PDF: 1512

HTML: 1231
Spatial distribution and identifying biochemical factors affecting haemoglobin levels among women of reproductive age for each province in Indonesia: A geospatial analysis

Muhammad Nur Aidi, Fitrah Ernawati, Efriwati Efriwati, Nunung Nurjanah, Rika Rachmawati, Elisa Diana Julianti, Dian Sundari, Fifi Retiaty, Anwar Fitrianto, Khalilah Nurfadilah, Aya Yuriestia Arifin

30-11-2022

https://doi.org/10.4081/gh.2022.1118

2333

PDF: 1198

HTML: 79
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

1509

PDF: 660

HTML: 42
Satellite-based forest monitoring: spatial and temporal forecast of growing index and short-wave infrared band

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

18-04-2016

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

2720

PDF: 1566

HTML: 2025
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

1890

PDF: 1016

Appendix: 161

HTML: 85
Evaluating the utility of companion animal tick surveillance practices for monitoring spread and occurrence of human Lyme disease in West Virginia, 2014-2016

Brian Hendricks, Miguella Mark-Carew, Jamison Conley

13-11-2017

https://doi.org/10.4081/gh.2017.582

2785

PDF: 944

HTML: 763
Spatial air pollution modelling for a West-African town

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

26-11-2015

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

3937

PDF: 1845

SUPPL. MATERIAL: 487

HTML: 1091
Modelling geographical heterogeneity of diabetes prevalence and socio-economic and built environment determinants in Saudi City - Jeddah

Abdulkader Murad, Fazlay Faruque, Ammar Naji, Alok Tiwari, Mansour Helmi, Ammar Dahlan

16-05-2022

https://doi.org/10.4081/gh.2022.1072

2304

PDF: 1137

HTML: 166
Geographically weighted regression for modelling the accessibility to the public hospital network in ConcepciÃ³n Metropolitan Area, Chile

Marcela Martínez Bascuñán, Carolina Rojas Quezada

22-11-2016

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

4069

PDF: 1957

HTML: 2213
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

924

PDF: 410

Supplementary materials: 101

HTML: 29
Spatiotemporal analysis of hand, foot and mouth disease data using time-lag geographically-weighted regression

Zhi-Min Hong, Hu-Hu Wang, Yan-Juan Wang, Wen-Rui Wang

29-12-2020

https://doi.org/10.4081/gh.2020.849

2143

PDF: 999

HTML: 42
Spatial analysis of the regional variation of hypertensive disease mortality and its socio-economic correlates in South Korea

Seong-Yong Park, Jin-Mi Kwak, Eun-Won Seo, Kwang-Soo Lee

31-05-2016

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

3174

PDF: 1847

HTML: 1385
Effects of geographical factors on reference values of the thyroid stimulating hormone in healthy adults in China and its clinical significance

Xinrui Pang, Miao Ge, Congxia Wang, Jinwei He

06-05-2022

https://doi.org/10.4081/gh.2022.1030

1351

PDF: 707

HTML: 307
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

2206

PDF: 977

HTML: 118
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

1649

PDF: 876

HTML: 62
Evaluation and control strategy analysis of influenza cases in Jiujiang City, Jiangxi Province, China from 2018 to 2022

Zhang Zeng, Huomei Xiong

09-10-2024

https://doi.org/10.4081/gh.2024.1294

1224

PDF: 540

HTML: 108
Understanding the relationship between land use and land cover and malaria in Nepal

Shreejana Bhattarai, Korine N. Kolivras, Kabita Ghimire, Yang Shao

29-12-2020

https://doi.org/10.4081/gh.2020.855

2326

PDF: 973

HTML: 45
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

1787

PDF: 900

HTML: 90
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

5461

PDF: 2496

HTML: 618
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

3523

PDF: 1843

HTML: 220
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

4534

PDF: 2022

APPENDIX 1: 488

APPENDIX 2: 514

HTML: 1654
Neonatal mortality in East Africa and West Africa: a geographic analysis of district-level demographic and health survey data

Sue C. Grady, April N. Frake, Qiong Zhang, Matlhogonolo Bene, Demetrice R. Jordan, Joshua Vertalka, Thania C. Dossantos, Ameen Kadhim, Judith Namanya, Lisa-Marie Pierre, Yi Fan, Peiling Zhou, Fatoumata B. Barry, Libbey Kutch

26-05-2017

https://doi.org/10.4081/gh.2017.501

11033

PDF: 4588

HTML: 2245
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

2033

PDF: 537

HTML: 64
Local healthcare resources associated with unmet healthcare needs in South Korea: a spatial analysis

Sang Min Lee, Dong Woo Huh, Young Gyu Kwon

11-03-2025

https://doi.org/10.4081/gh.2025.1295

2432

PDF: 834

Supplementary materials: 232

HTML: 123
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

4501

PDF: 2377

HTML: 2220
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

2617

PDF: 776

HTML: 63
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

4131

PDF: 787

HTML: 101
Regional variation of alanine aminotransferase serum levels in the People's Republic of China

Peng Li, Miao Ge, Jing Jing, Dezhi Wei

28-11-2017

https://doi.org/10.4081/gh.2017.472

2627

PDF: 648

HTML: 716
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

3595

PDF: 1924

HTML: 1337
Air quality classification and its temporal trend in Tehran, Iran, 2002-2012

Raheleh Saniei, Ali Zangiabadi, Mohammad Sharifikia, Yousef Ghavidel

31-05-2016

https://doi.org/10.4081/gh.2016.442

4992

PDF: 1585

HTML: 2599
Spatial association between socio-economic health service factors and sepsis mortality in Thailand

Juree Sansuk, Wongsa Laohasiriwong, Kittipong Sornlorm

13-09-2023

https://doi.org/10.4081/gh.2023.1215

1844

PDF: 737

HTML: 55
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

2522

PDF: 620

Supplementary 1: 185

Supplementary 2: 401

HTML: 181
Spatial correlates of COVID-19 first wave across continental Portugal

Bruno Barbosa, Melissa Silva, César Capinha, Ricardo A.C. Garcia, Jorge Rocha

23-06-2022

https://doi.org/10.4081/gh.2022.1073

1828

PDF: 659

HTML: 55
Estimating small area health-related characteristics of populations: a methodological review

Azizur Rahman

08-05-2017

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

4489

PDF: 2071

HTML: 1380
Assessing effects of structural zeros on models of canine cancer incidence: a case study of the Swiss Canine Cancer Registry

Gianluca Boo, Stefan Leyk, Sara Irina Fabrikant, Andreas Pospischil, Ramona Graf

11-05-2017

https://doi.org/10.4081/gh.2017.539

3723

PDF: 1234

HTML: 831
Spatial association of public sports facilities with body mass index in Korea

Eun Jin Han, Kiyeon Kang, So Young Sohn

07-05-2018

https://doi.org/10.4081/gh.2018.542

2618

PDF: 1169

HTML: 114
Spatial associations between chronic kidney disease and socio-economic factors in Thailand

Juree Sansuk, Kittipong Sornlorm

30-01-2024

https://doi.org/10.4081/gh.2024.1246

6616

PDF: 1182

HTML: 1145
Assessing the relationship between environmental factors and malaria vector breeding sites in Swaziland using multi-scale remotely sensed data

Sabelo Nick Dlamini, Jonas Franke, Penelope Vounatsou

03-06-2015

https://doi.org/10.4081/gh.2015.302

4779

PDF: 1906

HTML: 1763
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

3065

PDF: 846

HTML: 112
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

6637

PDF: 2749

HTML: 3140
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

8732

PDF: 1677

HTML: 887
Dynamic effect of economic growth on the persistence of suicide rates

Tzu-Yi Yang, Yu-Tai Yang, Ssu-Han Chen, Yu-Ting Lan, Chia-Jui Peng

25-05-2023

https://doi.org/10.4081/gh.2023.1201

1075

PDF: 798

HTML: 81
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

7581

PDF: 2618

APPENDIX: 1207

HTML: 5512
Advanced analysis of depression tendency in China: an investigation of environmental and social factors based on geographical and temporal weighted regression

Yanhong Xu, Zhilin Hong, Huimei Lin, Xiaofeng Huang

21-07-2025

https://doi.org/10.4081/gh.2025.1385

1102

PDF: 375

HTML: 39
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

2129

PDF: 1242

Appendix: 186

HTML: 231
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

1676

PDF: 773

Supplementary Materials: 148

HTML: 25
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

25-05-2026

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

421

PDF: 184

HTML: 11
Identification and mapping of objects targeted for surveillance and their role as risk factors for brucellosis in livestock farms in Kazakhstan

Aizada A. Mukhanbetkaliyeva, Ablaikhan S. Kadyrov, Yersyn Y. Mukhanbetkaliyev, Zhanat S. Adilbekov, Assylbek A. Zhanabayev, Assem Z. Abenova, Fedor I. Korennoy, Sarsenbay K. Abdrakhmanov

08-11-2024

https://doi.org/10.4081/gh.2024.1335

1841

PDF: 580

HTML: 76
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

2265

PDF: 1018

HTML: 50
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

5651

PDF: 2811

HTML: 816
Geographical accessibility to healthcare by point-of–interest data from online maps: a comparative study

Heng-Qian Huang-fu, Nan Zhang, Li Wang, Hui-Juan Liang, Ben-Song Xian, Xiao-Fang Gan, Yingsi Lai

20-12-2024

https://doi.org/10.4081/gh.2024.1322

2061

PDF: 646

Supplementary Materials: 183

HTML: 39
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

815

PDF: 411

Supplementary materials: 50

HTML: 17
A spatial lag model analysis of lung cancer incidence and satellite-derived data on air pollution in Thailand from 2020 to 2023

Wasana Silangam, Amornrat Luenam

14-11-2025

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

867

PDF: 423

HTML: 11
Environmental and geographical factors influence malaria transmission in KwaZulu-Natal province, South Africa

Osadolor Ebhuoma, Michael Gebreslasie, Oswaldo Villena, Ali Arab

09-06-2025

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

1582

PDF: 1012

HTML: 157
Spatial and temporal analysis of the human immunodeficiency virus in an area of social vulnerability in Northeast Brazil

Géssyca Cavalcante de Melo, Emilia Carolle Azevedo de Oliveira, Iane Brito Leal, Carolina Piedade Morais de Freitas Soares Silva, Roberta Andrade Beltrão, Allan Dantas dos Santos, Renata Karina Reis, Marco Antônio Prado Nunes, Karina Conceição Gomes Machado de Araujo

26-11-2020

https://doi.org/10.4081/gh.2020.863

3389

PDF: 1240

HTML: 43
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

3752

PDF: 1324

HTML: 77
Association of socioeconomic indicators with COVID-19 mortality in Brazil: a population-based ecological study

João Batista Cavalcante Filho, Marco Aurélio de Oliveira Góes, Damião da Conceição Araújo, Marcus Valerius da Silva Peixoto, Marco Antônio Prado Nunes

13-07-2023

https://doi.org/10.4081/gh.2023.1206

2100

PDF: 920

Supplementary Materials: 162

HTML: 41
Diabetes prevalence in the state of Alabama: identifying the risk factors

Kwaku Karikari Manu, Seth Appiah-Opoku

31-03-2026

https://doi.org/10.4081/gh.2026.1465

744

PDF: 270

HTML: 12
Associations between rocky mountain spotted fever and veterinary care access, climatic factors and landscape in the State of Arizona, USA

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

17-07-2025

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

1179

PDF: 982

Supplementary Materials: 129

HTML: 119
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

807

PDF: 500

HTML: 30
Geographic access to radiation therapy facilities and disparities of early-stage breast cancer treatment

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

07-05-2018

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

4140

PDF: 1594

HTML: 383
Associations between seasonal influenza and meteorological parameters in Costa Rica, Honduras and Nicaragua

Radina P. Soebiyanto, Wilfrido A. Clara, Jorge Jara, Angel Balmaseda, Jenny Lara, Mariel Lopez Moya, Rakhee Palekar, Marc-Alain Widdowson, Eduardo Azziz-Baumgartner, Richard K. Kiang

04-11-2015

https://doi.org/10.4081/gh.2015.372

4741

PDF: 1619

HTML: 1174
Spatial association between COVID-19 incidence rate and nighttime light index

Amornrat Luenam, Nattapong Puttanapong

18-03-2022

https://doi.org/10.4081/gh.2022.1066

2471

PDF: 760

HTML: 100
Collective efficacy and community readiness for dementia prevention: a spatial spillover analysis

Duan-Rung Chen, Chun-Tung Kuo, Tzu-Chin Wu

08-06-2026

https://doi.org/10.4081/gh.2026.1476

393

PDF: 212

HTML: 7
Bayesian modelling of dengue incidence with climatic drivers: comparing fixed-effects, nonlinear and dynamic approaches

Farah Kristiani, I Gede Nyoman Mindra Jaya, Robyn Irawan, Inanta Maria Priscilia

02-02-2026

https://doi.org/10.4081/gh.2026.1461

764

PDF: 470

Supplementary materials: 74

HTML: 17
The spatial distribution of Schistosoma mansoni infection in four regions of western Côte d'Ivoire

Rufin K. Assaré, Ying-Si Lai, Ahoua Yapi, Yves-Nathan T. Tian-Bi, Mamadou Ouattara, Patrick K. Yao, Stefanie Knopp, Penelope Vounatsou, Jürg Utzinger, Eliézer K. N'Goran

03-06-2015

https://doi.org/10.4081/gh.2015.345

4619

PDF: 1966

HTML: 1246
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

3520

PDF: 1158

HTML: 1468
Spatial association of socioeconomic and health service factors with antibiotic self-medication in Thailand

Worrayot Darasawang, Wongsa Laohasiriwong, Kittipong Sornlorm , Warangkana Sungsitthisawad, Roshan Kumar Mahato

27-01-2025

https://doi.org/10.4081/gh.2025.1329

3551

PDF: 1139

Supplementary Materials: 603

HTML: 262
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

2588

PDF: 1027

HTML: 136
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

1458

PDF: 545

HTML: 44
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

2694

PDF: 2140

HTML: 984
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

2049

PDF: 1080

HTML: 191
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

1296

PDF: 967

HTML: 41
Unravelling the dual burden in regional context: how child malnutrition and socioeconomic gradients shape early childhood development

Muhammad Usman

05-02-2026

https://doi.org/10.4081/gh.2026.1455

669

PDF: 463

HTML: 17
Geographic distribution and demographic factors associated with use of a long-acting reversible contraceptive (LARC) in Ethiopia

Mintesnot Tenkir Teni, Travis Loux, Ness Sandoval, Anne Sebert Kuhlmann

23-01-2025

https://doi.org/10.4081/gh.2025.1302

3898

PDF: 1432

HTML: 1157
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

3380

PDF: 712

HTML: 110
Temporal and spatial analyses of colorectal cancer incidence in Yogyakarta, Indonesia: a cross-sectional study

Juan Adrian Wiranata, Herindita Puspitaningtyas, Susanna Hilda Hutajulu, Jajah Fachiroh, Nungki Anggorowati, Guardian Yoki Sanjaya, Lutfan Lazuardi, Patumrat Sripan

25-05-2023

https://doi.org/10.4081/gh.2023.1186

2139

PDF: 1206

HTML: 68
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

2288

PDF: 758

HTML: 136
Spatial accessibility to emergency care in Sichuan province in China

Xuefeng Tang, Yufan Deng, Huazhen Yang, Fan Tian, Youping Li, Jay Pan

29-12-2020

https://doi.org/10.4081/gh.2020.891

2555

PDF: 1006

HTML: 67
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

2368

PDF: 1024

HTML: 100
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

4354

PDF: 2334

HTML: 132
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

3259

PDF: 1967

HTML: 1401
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

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2771

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

Sarsenbay K. Abdrakhmanov, Yersyn Y. Mukhanbetkaliyev, Fedor I. Korennoy, Bolat Sh. Karatayev, Aizada A. Mukhanbetkaliyeva, Aruzhan S. Abdrakhmanova

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3969

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Evaluation of household knowledge, attitudes and practices concerning malaria in the city of Djibouti

Osman Abdillahi Guedi, Yao Télesphore Brou, Eric Delmelle, Sébastien Briolant

16-06-2026

https://doi.org/10.4081/gh.2026.1451

577

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Supplementary materials: 60

HTML: 5
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

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249

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Spatial analysis and prediction of the flow of patients to public health centres in a middle-sized Spanish city

Isabel Ramos, Juan J. Cubillas, Francisco R. Feito, Tomas Ureña

21-11-2016

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2277

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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

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https://doi.org/10.4081/gh.2016.399

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Accounting for autocorrelation in multi-drug resistant tuberculosis predictors using a set of parsimonious orthogonal eigenvectors aggregated in geographic space

Benjamin G. Jacob, Fiorella Krapp, Mario Ponce, Eduardo Gotuzzo, Daniel A. Griffith, Robert J. Novak

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Identifying counties vulnerable to diabetes from obesity prevalence in the United States: a spatiotemporal analysis

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The distribution of cardiovascular diseases in Tanzania: a spatio-temporal investigation

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3258

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Estimating malaria burden in Nigeria: a geostatistical modelling approach

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

Zhiyuan Luo, Yancheng Liu, Wenqi Xu

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https://doi.org/10.4081/gh.2026.1477

328

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Supplementary Materials: 42

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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

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

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

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

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

1885

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

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

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

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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

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The spatial distribution of injuries in need of surgical intervention in Nepal

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https://doi.org/10.4081/gh.2016.359

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Geospatial determinants of diabetes risk in Thailand: socioeconomic and health service factors

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A spatiotemporal analysis of the impact of the COVID-19 outbreak on noise pollution in Tehran, Iran

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