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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

7564

PDF: 2603

APPENDIX: 1200

HTML: 5496
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

3837

PDF: 1981

HTML: 2265
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

585

PDF: 269

HTML: 7
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

2516

PDF: 1930

HTML: 1148
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

4595

PDF: 1945

HTML: 1246
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

2427

PDF: 1727

APPENDIX: 675

HTML: 1054
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

1545

PDF: 960

HTML: 151
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

1493

PDF: 650

HTML: 35
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

391

PDF: 167

HTML: 11
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

738

PDF: 440

Supplementary materials: 68

HTML: 17
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

4484

PDF: 2358

HTML: 2213
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

221

PDF: 304

HTML: 2
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

1867

PDF: 843

HTML: 81
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

1355

PDF: 657

HTML: 61
Post-pandemic COVID-19 estimated and forecasted hotspots in the Association of Southeast Asian Nations (ASEAN) countries in connection to vaccination rate

I Gede Nyoman Mindra Jaya, Yudhie Andriyana, Bertho Tantular

22-03-2022

https://doi.org/10.4081/gh.2022.1070

1683

PDF: 645

HTML: 43
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

3250

PDF: 1922

HTML: 1400
Bayesian spatial modelling of contraception effects on fertility in Mexican municipalities in 2020

Gerardo Núñez Medina

17-05-2022

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

1344

PDF: 702

HTML: 155
Effects of weather and landscape on the equine West Nile virus infection risk in Mississippi, USA

Guiming Wang

04-11-2015

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

2215

PDF: 1433

HTML: 960
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

2496

PDF: 613

Supplementary 1: 178

Supplementary 2: 383

HTML: 181
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

8613

PDF: 3619

HTML: 2719
Disease mapping and spatio-temporal analysis: importance of expected-case computation criteria

Gonzalo Lòpez-Abente, Nuria Aragonés, Javier García-Pérez, Pablo Fernández- Navarro

27-35

01-11-2014

https://doi.org/10.4081/gh.2014.3

3584

PDF: 1805
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

2560

PDF: 1335
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

2874

PDF: 1380

APPENDIX: 502

HTML: 1188
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

3090

PDF: 2262

HTML: 451
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

3808

PDF: 1013

HTML: 732
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

885

PDF: 509

HTML: 25
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

3291

PDF: 682

HTML: 97
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

3641

PDF: 1550
The influence of socioeconomic deprivation, access to healthcare and physical environment on old-age survival in Portugal

Ana Isabel Ribeiro, Elias Teixeira Krainski, Marilia Sá Carvalho, Maria de Fátima de Pina

07-11-2017

https://doi.org/10.4081/gh.2017.581

3820

PDF: 1456

HTML: 881
Venomous snakebite risk and its implications in Zacatecas State, Mexico 2007-2017

Jesús Lenin Lara-Galván, Manuel Montesino-San Martín, Xabier Herrero Otero, Juan Felipe Martínez-Montoya, José Jesús Sigala-Rodríguez, Ana Márcia Barbosa

05-11-2025

https://doi.org/10.4081/gh.2025.1404

1017

PDF: 398

Supplementary materials: 122

HTML: 12
The spatial distribution of Anopheles gambiae sensu stricto and An. arabiensis (Diptera: Culicidae) in Mali

N. Sogoba, P. Vounatsou, M.M. Bagayoko, S. Doumbia, G. Dolo, L. Gosoniu, S.F. Traore, Y.T. Toure, T. Smith

213-222

01-05-2007

https://doi.org/10.4081/gh.2007.269

3008

PDF: 1090
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

4067

PDF: 1883

HTML: 795
Dying in their prime: determinants and space-time risk of adult mortality in rural South Africa

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

237-249

01-05-2013

https://doi.org/10.4081/gh.2013.83

2311

PDF: 1247
A statistical approach to rank multiple priorities in Environmental Epidemiology: an example from high-risk areas in Sardinia, Italy

Dolores Catelan, Annibale Biggeri

81-89

01-11-2008

https://doi.org/10.4081/gh.2008.234

1599

PDF: 867
Variability of nutrients intake, lipid profile and cardiovascular mortality among geographical areas in Spain: The DRECE study

Agustín Gòmez de la Cámara, Eva de Andrés Esteban, Gerard Urrútia Cuchí, Enrique Calderòn Sandubete, Miguel Ángel Rubio Herrera, Miguel Menéndez Orenga, David Lora Pablos

07-11-2017

https://doi.org/10.4081/gh.2017.524

2294

PDF: 1029

HTML: 717
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

1324

PDF: 552

Supplementary Materials: 138

HTML: 19
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

786

PDF: 372

Supplementary materials: 42

HTML: 13
Using object-based image analysis to map commercial poultry operations from high resolution imagery to support animal health outbreaks and events

Susan Maroney, MaryJane McCool-Eye, Andrew Fox, Christopher Burdett

10-12-2020

https://doi.org/10.4081/gh.2020.919

2857

PDF: 986

HTML: 165
Spatial analysis of the relationship between early childhood mortality and malaria endemicity in Malawi

Lawrence N. Kazembe, Christopher C. Appleton, Immo Kleinschmidt

41-50

01-11-2007

https://doi.org/10.4081/gh.2007.253

3167

PDF: 1632
New insights into the application of geographical information systems and remote sensing in veterinary parasitology

Laura Rinaldi, Vincenzo Musella, Annibale Biggeri, Giuseppe Cringoli

33-47

01-11-2006

https://doi.org/10.4081/gh.2006.279

4058

PDF: 1777
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

2899

PDF: 862

HTML: 852
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

1754

PDF: 1028

HTML: 57
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

4571

PDF: 1325

HTML: 1220
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

4519

PDF: 1999

APPENDIX 1: 479

APPENDIX 2: 511

HTML: 1653
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

2222

PDF: 1094

HTML: 56
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

1058

PDF: 788

HTML: 77
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

1644

PDF: 760

Supplementary Materials: 142

HTML: 24
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

3877

PDF: 1420

HTML: 1157
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

2528

PDF: 1452

HTML: 1160
Nonlinear analysis of factors influencing public health in China based on machine learning

Dehong Sun, Hui Wang

16-03-2026

https://doi.org/10.4081/gh.2026.1450

361

PDF: 244

HTML: 11

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