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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

2726

PDF: 1576

HTML: 2027
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

265

PDF: 346

HTML: 3
Correlation analysis of air pollutant index levels and dengue cases across five different zones in Selangor, Malaysia

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

07-05-2018

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

2467

PDF: 1390

HTML: 341
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

4381

PDF: 2340

HTML: 133
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

2091

PDF: 817

HTML: 147
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

1721

PDF: 714

HTML: 124
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

1397

PDF: 687

HTML: 62
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

10-06-2026

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

346

PDF: 199

Supplementary Materials: 44

HTML: 6
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

2215

PDF: 981

HTML: 118
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

942

PDF: 525

Supplementary materials: 106

HTML: 41
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

3166

PDF: 2370

HTML: 476
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

1316

PDF: 982

HTML: 41
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

1102

PDF: 809

HTML: 83
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

1088

PDF: 481

HTML: 46
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

456

PDF: 202

HTML: 11
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

941

PDF: 419

Supplementary materials: 107

HTML: 29
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

7601

PDF: 2636

APPENDIX: 1216

HTML: 5533
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

788

PDF: 489

Supplementary materials: 77

HTML: 19
Spatial multilevel modelling male partners’ influence on women’s modern contraceptive use: a study in Angola and Zambia

Kabeya Clement Mulamba

12-05-2025

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

1569

PDF: 349

HTML: 61
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

2795

PDF: 950

HTML: 763
Bayesian spatial modelling and the significance of agricultural land use to scrub typhus infection in Taiwan

Nicola A. Wardrop, Chi-Chien Kuo, Hsi-Chieh Wang, Archie C. A. Clements, Pei-Fen Lee, Peter M. Atkinson

229-239

01-11-2013

https://doi.org/10.4081/gh.2013.69

3200

PDF: 1164
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

2120

PDF: 930

Supplementary Materials: 166

HTML: 41
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

2899

PDF: 1399

APPENDIX: 507

HTML: 1191
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

2629

PDF: 1175

HTML: 114
Spatiality in small area estimation: A new structure with a simulation study

Yadollah Mehrabi, Amir Kavousi, Ahmad-Reza Baghestani, Mojtaba Soltani-Kermanshahi

29-12-2020

https://doi.org/10.4081/gh.2020.872

1358

PDF: 665

Supplementary materials: 214

HTML: 30
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

6653

PDF: 2764

HTML: 3141
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

459

PDF: 304

Supplementary materials: 62

HTML: 51
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

414

PDF: 225

HTML: 9
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

629

PDF: 299

HTML: 7
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

1522

PDF: 666

HTML: 45
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

2707

PDF: 2149

HTML: 989
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

826

PDF: 514

HTML: 30
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

1886

PDF: 512

Appendix: 351

HTML: 20
Survived infancy but still vulnerable: spatial-temporal trends and risk factors for child mortality in the Agincourt rural sub-district, South Africa, 1992-2007

Benn Sartorius, Kathleen Kahn, Mark A. Collinson, Penelope Vounatsou, Stephen M. Tollman

285-295

01-05-2011

https://doi.org/10.4081/gh.2011.181

2585

PDF: 1362
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

3556

PDF: 1145

Supplementary Materials: 606

HTML: 263
Multilevel spatio-temporal dual changepoint models for relating alcohol outlet destruction and changes in neighbourhood rates of assaultive violence

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

161-172

01-05-2008

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

2083

PDF: 1105
Geospatial determinants of diabetes risk in Thailand: socioeconomic and health service factors

Withaya Polnakoo, Wongsa Laohasiriwong, Kittipong Sornlorm

01-07-2026

https://doi.org/10.4081/gh.2026.1440

204

PDF: 87

HTML: 4
Mitigating infectious disease risks through non-stationary flood frequency analysis: a case study in Malaysia based on natural disaster reduction strategy

Nur Amalina Mat Jan, Muhammad Fadhil Marsani, Loshini Thiruchelvam, Nur Balqishanis Zainal Abidin, Ani Shabri, Sarah A'fifah Abdullah Sani

13-11-2023

https://doi.org/10.4081/gh.2023.1236

1946

PDF: 812

HTML: 85
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

3430

PDF: 731

HTML: 122
Spatial-temporal analysis of prostate cancer incidence from the Pennsylvania Cancer Registry, 2000-2011

Ming Wang, Stephen A. Matthews, Khaled Iskandarani, Yimei Li, Zheng Li, Vernon M. Chinchilli, Lijun Zhang

28-11-2017

https://doi.org/10.4081/gh.2017.611

3825

PDF: 1037

HTML: 732
Bayesian conditional autoregressive models to assess spatial patterns of diarrhoea risk among children under the age of 5 years in Mbour, Senegal

Sokhna Thiam, Guéladio Cissé, Anna-Sofie Stensgaard, Aminata Niang-Diène, Jürg Utzinger, Penelope Vounatsou

06-11-2019

https://doi.org/10.4081/gh.2019.823

1886

PDF: 999

APPENDIX: 385

HTML: 52
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

1691

PDF: 781

Supplementary Materials: 149

HTML: 26
Prediction of dengue cases using the attention-based long short-term memory (LSTM) approach

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

25-05-2023

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

3791

PDF: 1612

Supplementary Materials: 222

HTML: 144
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

1786

PDF: 1052

HTML: 59
Impact of the COVID-19 pandemic on the number of births in Pernambuco Brazil

Heitor Victor Veiga da Costa, Cristine Vieira do Bonfim, Wilson Fusco, Morvan de Melo Moreira, Fernando Maciano de Paula Neto

15-06-2022

https://doi.org/10.4081/gh.2022.1069

1385

PDF: 648

HTML: 59
Bayesian spatio-temporal modelling of tobacco-related cancer mortality in Switzerland

Verena Jürgens, Silvia Ess, Harish C. Phuleria, Martin Früh, Matthias Schwenkglenks, Harald Frick, Thomas Cerny, Penelope Vounatsou

219-236

01-05-2013

https://doi.org/10.4081/gh.2013.82

3658

PDF: 1574
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

1471

PDF: 555

HTML: 56
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

762

PDF: 284

HTML: 12
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

1989

PDF: 1047

HTML: 73
Modelling the presence of disease under spatial misalignment using Bayesian latent Gaussian models

Xavier Barber, David Conesa, Silvia Lladosa, Antonio Lòpez-Quílez

18-04-2016

https://doi.org/10.4081/gh.2016.415

3873

PDF: 2001

HTML: 2265
Spatial analysis of congenital heart disease in São Paulo State, Brazil 2012-2022: associations with air pollution, maternal factors and social vulnerability

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

18-09-2025

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

940

PDF: 566

HTML: 26
How much incident lung cancer was missed globally in 2012? An ecological country-level study

Benn Sartorius, Kurt Sartorius

31-05-2016

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

2891

PDF: 2077

HTML: 1037
Spatial distribution and predictive risk of perpetuation of non-typhoidal salmonellosis in poultry farms and human communities: meta-analysis of data from Nigeria

Abdullahi O. Sanni , Annelize Jonker, Olatunji O. Johnson , Ezra Gayawan , Aminu Shittu , Olubunmi G. Fasanmi , Oluwawemimo A. Adebowale , Folorunso O. Fasina

12-02-2026

https://doi.org/10.4081/gh.2026.1316

1362

PDF: 605

Supplementary Materials: 152

HTML: 21
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

2535

PDF: 624

Supplementary 1: 188

Supplementary 2: 409

HTML: 181
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

1601

PDF: 1023

HTML: 161
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

3555

PDF: 1855

HTML: 222
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

3409

PDF: 1247

HTML: 43
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

2069

PDF: 1093

HTML: 204
Human infections and co-infections with helminths in a rural population in Guichi, Anhui Province, China

Yi Hu, Rui Li, Michael P. Ward, Yue Chen, Henry Lynn, Decheng Wang, Gengxin Chen, Zonggui He, Liqian Sun, Chenglong Xiong, Zhijie Zhang, Qingwu Jiang

04-11-2015

https://doi.org/10.4081/gh.2015.374

2571

PDF: 1367

HTML: 988
Dynamic risk model for Rift Valley fever outbreaks in Kenya based on climate and disease outbreak data

David Gikungu, Jacob Wakhungu, Donald Siamba, Edward Neyole, Richard Muita, Bernard Bett

31-05-2016

https://doi.org/10.4081/gh.2016.377

3423

PDF: 1566

HTML: 1494
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

638

PDF: 551

HTML: 58
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

2317

PDF: 1148

HTML: 167
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

4025

PDF: 1348

APPENDIX: 476

HTML: 871
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

1190

PDF: 993

Supplementary Materials: 134

HTML: 121
Predicting malaria cases using remotely sensed environmental variables in Nkomazi, South Africa

Abiodun Morakinyo Adeola, Joel Ondego Botai, Jane Mukarugwiza Olwoch, Hannes C.J. de W. Rautenbach, Omolola Mayowa Adisa, Christiaan de Jager, Christina M. Botai, Mabuza Aaron

14-05-2019

https://doi.org/10.4081/gh.2019.676

3322

PDF: 1738

APPENDIX: 543

HTML: 320
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

1858

PDF: 745

HTML: 58
Preferential sampling in veterinary parasitological surveillance

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

18-04-2016

https://doi.org/10.4081/gh.2016.412

2475

PDF: 1756

APPENDIX: 681

HTML: 1058
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

2696

PDF: 959

Supplementary materials: 241

HTML: 122
Bivariate spatiotemporal disease mapping of cancer of the breast and cervix uteri among Iranian women

Mehdi Raei, Volker Johann Schmid, Behzad Mahaki

08-05-2018

https://doi.org/10.4081/gh.2018.645

2654

PDF: 1269

HTML: 149
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

2536

PDF: 1961

HTML: 1149
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

3062

PDF: 1100

HTML: 811

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