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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

  7271

  PDF: 2530

  APPENDIX: 1179

  HTML: 5410
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  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

  3683

  PDF: 1890

  HTML: 2250
• 

  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

  409

  PDF: 208

  HTML: 6
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  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

  4432

  PDF: 1859

  HTML: 1239

• 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

  1858

  PDF: 710

  HTML: 121
• 

  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

  2388

  PDF: 1815

  HTML: 1145
• 

  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

  930

  PDF: 382

  HTML: 35
• 

  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

  1226

  PDF: 787

  HTML: 124
• 

  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

  4368

  PDF: 2303

  HTML: 2204
• 

  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

  2279

  PDF: 1646

  APPENDIX: 644

  HTML: 1044
• 

  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

  2587

  PDF: 1680

  HTML: 975
• 

  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

  1414

  PDF: 587

  HTML: 21
• 

  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

  1186

  PDF: 560

  HTML: 53
• 

  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

  525

  PDF: 258

  Supplementary materials: 39

  HTML: 8
• 

  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

  1599

  PDF: 744

  HTML: 73
• 

  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

  6355

  PDF: 2627

  HTML: 3131
• 

  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

  1553

  PDF: 555

  HTML: 40
• 

  Comparison of the spatial patterns of schistosomiasis in Zimbabwe at two points in time, spaced twenty-nine years apart: is climate variability of importance?

  Ulrik B. Pedersen, Dimitrios-Alexios Karagiannis-Voules, Nicholas Midzi, Tkafira Mduluza, Samson Mukaratirwa, Rasmus Fensholt, Birgitte J. Vennervald, Thomas K. Kristensen, Penelope Vounatsou, Anna-Sofie Stensgaard

  08-05-2017

  https://doi.org/10.4081/gh.2017.505

  3449

  PDF: 1618

  HTML: 1046
• 

  Geostatistical modelling of the malaria risk in Mozambique: effect of the spatial resolution when using remotely-sensed imagery

  Federica Giardina, Jonas Franke, Penelope Vounatsou

  26-11-2015

  https://doi.org/10.4081/gh.2015.333

  3778

  PDF: 1700

  HTML: 1208
• 

  CutL: an alternative to Kulldorff's scan statistics for cluster detection with a specified cut-off level

  Barbara Więckowska, Justyna Marcinkowska

  06-11-2017

  https://doi.org/10.4081/gh.2017.556

  2437

  PDF: 758

  HTML: 896
• 

  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

  1218

  PDF: 645

  HTML: 146
• 

  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

  2516

  PDF: 1179

  HTML: 143
• 

  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

  2151

  PDF: 1381

  HTML: 957
• 

  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

  2459

  PDF: 1296

  HTML: 980
• 

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

  Azizur Rahman

  08-05-2017

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

  4364

  PDF: 1970

  HTML: 1370
• 

  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

  2236

  PDF: 585

  Supplementary 1: 146

  Supplementary 2: 345

  HTML: 170
• 

  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

  3150

  PDF: 1812

  HTML: 1392
• 

  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

  2312

  PDF: 1323

  HTML: 335
• 

  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

  8348

  PDF: 3513

  HTML: 2702
• 

  Elimination of malaria due to Plasmodium vivax in central part of the People's Republic of China: analysis and prediction based on modelling

  Zhao Chen, Liang Shi, Xiao-Nong Zhou, Zhi-Gui Xia, Robert Bergquist, Qing-Wu Jiang

  169-177

  01-11-2014

  https://doi.org/10.4081/gh.2014.14

  3722

  PDF: 1223

• Bayesian risk maps for Schistosoma mansoni and hookworm mono-infections in a setting where both parasites co-exist

  Giovanna Raso, Penelope Vounatsou, Donald P. McManus, Jürg Utzinger

  85-96

  01-11-2007

  https://doi.org/10.4081/gh.2007.257

  2639

  PDF: 903

• Spatial risk profiling of Schistosoma japonicum in Eryuan county, Yunnan province, China

  Peter Steinmann, Xiao-Nong Zhou, Barbara Matthys, Yuan-Lin Li, Hong-Jun Li, Shao-Rong Chen, Zhong Yang, Weng Fan, Tie-Wu Jia, Lan-Hua Li, Penelope Vounatsou, Jürg Utzinger

  59-73

  01-11-2007

  https://doi.org/10.4081/gh.2007.255

  2748

  PDF: 936
• 

  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

  463

  PDF: 408

  HTML: 35
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  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

  2222

  PDF: 966

  HTML: 92

• A Bayesian kriging model for estimating residential exposure to air pollution of children living in a high-risk area in Italy

  Ana M. Vicedo-Cabrera, Annibale Biggeri, Laura Grisotto, Fabio Barbone, Dolores Catelan

  87-95

  01-11-2013

  https://doi.org/10.4081/gh.2013.57

  2675

  PDF: 1401
• 

  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

  3736

  PDF: 948

  HTML: 727
• 

  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

  738

  PDF: 404

  HTML: 20
• 

  Spatio-temporal analysis of leptospirosis in Brazil and its relationship with flooding

  Alice Nardoni Marteli, Laurindo Antonio Guasselli , Décio Diament , Gabriele Ozório Wink , Vitor Vieira Vasconcelos

  29-11-2022

  https://doi.org/10.4081/gh.2022.1128

  2716

  PDF: 1669

  HTML: 208
• 

  Sheep and Fasciola hepatica in Europe: the GLOWORM experience

  Laura Rinaldi, Annibale Biggeri, Vincenzo Musella, Theo de Waal, Hubertus Hertzberg, Fabien Mavrot, Paul R. Torgerson, Nikolaos Selemetas, Tom Coll, Antonio Bosco, Laura Grisotto, Giuseppe Cringoli, Dolores Catelan

  309-317

  19-03-2015

  https://doi.org/10.4081/gh.2015.353

  4929

  PDF: 2480
• 

  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

  2684

  PDF: 535

  HTML: 52
• 

  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

  2761

  PDF: 1306

  APPENDIX: 478

  HTML: 1145
• 

  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

  2830

  PDF: 1934

  HTML: 395

• 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

  2360

  PDF: 1262

• Sensitivity analysis of the relationship between disease occurrence and distance from a putative source of pollution

  Emanuela Dreassi, Corrado Lagazio, Milena M. Maule, Corrado Magnani, Annibale Biggeri

  263-271

  01-05-2008

  https://doi.org/10.4081/gh.2008.249

  1392

  PDF: 763
• 

  Estimating malaria burden in Nigeria: a geostatistical modelling approach

  Nnadozie Onyiri

  04-11-2015

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

  7592

  PDF: 3169

  HTML: 3277
• 

  Spatial variability of mother-to-child human immunodeficiency virus transmission in a province in the Brazilian Rainforest: An ecological study

  Marcus Matheus Quadros Santos, Bianca Alessandra Gomes do Carmo, Taymara Barbosa Rodrigues, Bruna Rafaela Leite Dias, Cleyton Abreu Martins, Glenda Roberta Oliveira Naiff Ferreira, Andressa Tavares Parente, Cíntia Yollete Urbano Pauxis Aben-Atha, Sandra Helena Isse Polaro, Eliã Pinheiro Botelho

  29-11-2022

  https://doi.org/10.4081/gh.2022.1101

  1093

  PDF: 927

  HTML: 25

• Mapping and prediction of schistosomiasis in Nigeria using compiled survey data and Bayesian geospatial modelling

  Uwem F. Ekpo, Eveline Hürlimann, Nadine Schur, Akinola. S. Oluwole, Eniola M. Abe, Margaret A. Mafe, Obiageli J. Nebe, Sunday Isiyaku, Francisca Olamiju, Mukaila Kadiri, Temitope O.S. Poopola, Eka I. Braide, Yisa Saka, Chiedu F. Mafiana, Thomas K. Kristensen, Jürg Utzinger, Penelope Vounatsou

  355-366

  01-05-2013

  https://doi.org/10.4081/gh.2013.92

  6006

  PDF: 2067

• Bayesian modelling of geostatistical malaria risk data

  L. Gosoniu, P. Vounatsou, N. Sogoba, T. Smith

  127-139

  01-11-2006

  https://doi.org/10.4081/gh.2006.287

  9869

  PDF: 1766
• 

  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

  3731

  PDF: 1271

  APPENDIX: 446

  HTML: 860
• 

  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

  3235

  PDF: 1157

  HTML: 36
• 

  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

  3707

  PDF: 1361

  HTML: 876

• Evaluation of the spatial patterns and risk factors, including backyard pigs, for classical swine fever occurrence in Bulgaria using a Bayesian model

  Beatriz Martínez-Lòpez, Tsviatko Alexandrov, Lina Mur, Fernando Sánchez-Vizcaíno, José M. Sánchez-Vizcaíno

  489-501

  01-05-2014

  https://doi.org/10.4081/gh.2014.38

  2295

  PDF: 1271

• 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

  3544

  PDF: 1468

• Spatial analysis and risk mapping of soil-transmitted helminth infections in Brazil, using Bayesian geostatistical models

  Ronaldo G. C. Scholte, Nadine Schur, Maria E. Bavia, Edgar M. Carvalho, Frédérique Chammartin, Jürg Utzinger, Penelope Vounatsou

  97-110

  01-11-2013

  https://doi.org/10.4081/gh.2013.58

  4090

  PDF: 2132

• Spatial analysis of bluetongue cases and vaccination of Swiss cattle in 2008 and 2009

  Katriina J. E. Willgert, Birgit Schroedle, Heinzpeter Schwermer

  227-237

  01-05-2011

  https://doi.org/10.4081/gh.2011.175

  1425

  PDF: 1019
• 

  Spatial electromagnetic field intensity modelling of global system for mobile communication base stations in the Istanbul Technical University Ayazaga campus area

  Kubra Boz, Hayri Hakan Denli

  07-05-2018

  https://doi.org/10.4081/gh.2018.527

  1601

  PDF: 915

  HTML: 130

• Application of Bayesian geostatistical modeling for the assessment of risk for child mortality during the 2008 earthquake in Wenchuan, People's Republic of China

  Yi Hu, Jin-Feng Wang, Xiao-Hong Li, Dan Ren, Dez-Hi Mu, Yan-Ping Wang, Chun-Mei Wen, Jun Zhu, Juan Liang

  247-255

  01-05-2012

  https://doi.org/10.4081/gh.2012.142

  1614

  PDF: 877

• A spatial analysis of mental retardation of unknown cause and maternal residence during pregnancy

  Huiling Zhen, Andrew B. Lawson, Suzanne McDermott, Archana Pande Lamichhane, Marjorie Aelion

  173-182

  01-05-2008

  https://doi.org/10.4081/gh.2008.241

  1456

  PDF: 793
• 

  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

  1976

  PDF: 904

  HTML: 30
• 

  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

  745

  PDF: 400

  Supplementary Materials: 96

  HTML: 16
• 

  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

  3451

  PDF: 1744
• 

  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

  1413

  PDF: 286

  HTML: 58
• 

  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

  2184

  PDF: 962

  HTML: 709
• 

  Spatial patterns of the total mortality over the first 24 hours of life and that due to preventable causes

  Aline Beatriz dos Santos Silva, Ana Catarina de Melo Araújo, Amanda Priscila de Santana Cabral Silva, Mirella Bezerra Rodrigues Vilela, Cristine Vieira do Bonfim

  17-05-2022

  https://doi.org/10.4081/gh.2022.1051

  1148

  PDF: 587

  Appendix: 169

  HTML: 33

• Multiple testing in disease mapping and descriptive epidemiology

  Dolores Catelan, Annibale Biggeri

  219-229

  01-05-2010

  https://doi.org/10.4081/gh.2010.202

  1628

  PDF: 1037
• 

  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

  3825

  PDF: 1815

  HTML: 752
• 

  Geographic disparities of asthma prevalence in south-western United States of America

  Lung-Chang Chien, Hasanat Alamgir

  97-108

  01-11-2014

  https://doi.org/10.4081/gh.2014.8

  2982

  PDF: 2067

• Spatial comparison of areas at risk for schistosomiasis in the hilly and mountainous regions in the People's Republic of China: evaluation of the long-term effect of the 10-year World Bank Loan Project

  Zhi-Jie Zhang, Rong Zhu, N. Robert Bergquist, Dong-Mei Chen, Yue Chen, Li-Juan Zhang, Jia-Gang Guo, Fei Zhao, Qing-Wu Jiang

  205-214

  01-05-2012

  https://doi.org/10.4081/gh.2012.138

  1704

  PDF: 1144

• Multivariate spatially-structured variability of ovine helminth infections

  Annibale Biggeri, Dolores Catelan, Emanuela Dreassi, Laura Rinaldi, Vincenzo Musella, Vincenzo Veneziano, Giuseppe Cringoli

  97-104

  01-11-2007

  https://doi.org/10.4081/gh.2007.258

  1423

  PDF: 834
• 

  Spatio-temporal statistics: applications in epidemiology, veterinary medicine and ecology

  Annibale Biggeri, Dolores Catelan, David Conesa, Penelope Vounatsou

  18-04-2016

  https://doi.org/10.4081/gh.2016.469

  2466

  PDF: 1502

  HTML: 926

• 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

  2219

  PDF: 1163

• 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

  1527

  PDF: 824
• 

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

  Mohamed R. Habib, Yun-Hai Guo, Shan Lv, Wen-Biao Gu, Xiao-Heng Li, Xiao-Nong Zhou

  29-11-2016

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

  3969

  PDF: 1499

  HTML: 1145

• A descriptive and model-based spatial comparison of the standardised mortality ratio and the age-standardised mortality rate

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