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• 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

  2090

  PDF: 816

  HTML: 147
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  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

  261

  PDF: 342

  HTML: 3
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  The future of spatial epidemiology in the AI era: enhancing machine learning approaches with explicit spatial structure

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

  04-06-2025

  https://doi.org/10.4081/gh.2025.1386

  3408

  PDF: 727

  HTML: 114
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  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

  1379

  PDF: 720

  HTML: 164
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  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

  2704

  PDF: 2144

  HTML: 987
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  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

  621

  PDF: 299

  HTML: 7
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  Preferential sampling in veterinary parasitological surveillance

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

  18-04-2016

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

  2463

  PDF: 1747

  APPENDIX: 681

  HTML: 1058
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  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

  1564

  PDF: 349

  HTML: 61
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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

  10-06-2026

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

  342

  PDF: 197

  Supplementary Materials: 44

  HTML: 5
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  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

  635

  PDF: 548

  HTML: 58
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  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

  3845

  PDF: 1487

  HTML: 881
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  Bayesian hierarchical spatial models for disease mapping in the presence of missing covariates

  Sami Ullah, Tianfa Xie

  20-08-2026

  https://doi.org/10.4081/gh.2026.1511

  0

  PDF: 0

  Supplementary materials: 0
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  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

  5660

  PDF: 2820

  HTML: 816
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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

  18-09-2025

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

  936

  PDF: 562

  HTML: 26