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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

3381

PDF: 1670

HTML: 2223
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

4044

PDF: 2135

HTML: 2152
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

2133

PDF: 1555

HTML: 1139
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

3452

PDF: 1465

HTML: 1178
Estimating small area health-related characteristics of populations: a methodological review

Azizur Rahman

08-05-2017

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

3978

PDF: 1723

HTML: 1345
Combining process-based and correlative models improves predictions of climate change effects on Schistosoma mansoni transmission in eastern Africa

Anna-Sofie Stensgaard, Mark Booth, Grigory Nikulin, Nicky McCreesh

31-03-2016

https://doi.org/10.4081/gh.2016.406

3795

PDF: 1335

HTML: 1054
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

3912

PDF: 1636

HTML: 1231
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

1977

PDF: 1467

APPENDIX: 542

HTML: 1032
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

1250

PDF: 457

HTML: 84
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

6838

PDF: 2322

APPENDIX: 1093

HTML: 5125
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

531

PDF: 121

HTML: 6
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

826

PDF: 189

HTML: 0
Integrating agent-based disease, mobility and wastewater models for the study of the spread of communicable diseases

Néstor DelaPaz-Ruíz, Ellen-Wien Augustijn, Mahdi Farnaghi, Sheheen A. Abdulkareem, Raul Zurita Milla

11-02-2025

https://doi.org/10.4081/gh.2025.1326

1870

PDF: 445

Supplementary Materials: 331

HTML: 203
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

1431

PDF: 830

Appendix: 89

HTML: 68
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

1953

PDF: 1242

HTML: 952
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

2245

PDF: 1241

HTML: 136
Estimating malaria burden in Nigeria: a geostatistical modelling approach

Nnadozie Onyiri

04-11-2015

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

7033

PDF: 2891

HTML: 3249
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

1232

PDF: 404

HTML: 42
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

4145

PDF: 1129

HTML: 1197
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

3845

PDF: 1558

APPENDIX 1: 423

APPENDIX 2: 414

HTML: 1639
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

3103

PDF: 1407

HTML: 1025
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

1946

PDF: 803

HTML: 80
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

3726

PDF: 1327

HTML: 1132
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

3292

PDF: 1588

HTML: 624
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

5890

PDF: 2395

HTML: 3071
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

1233

PDF: 710

HTML: 43
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

2135

PDF: 1340

HTML: 251
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

7601

PDF: 3110

HTML: 2650
Modelling of the distribution of Biomphalaria glabrata and Biomphalaria straminea in the metropolitan region of Recife, Pernambuco, Brazil

Verônica Santos Barbosa, Ricardo José de Paula Souza e Guimarães, Rodrigo Moraes Loyo, Constança SimÃµes Barbosa

25-11-2016

https://doi.org/10.4081/gh.2016.490

2754

PDF: 1121

HTML: 1599
Geospatial Health: achievements, innovations, priorities

Sherif Amer, Ellen-Wien Augustijn, Carmen Anthonj, Nils Tjaden, Justine Blanford, Marc van den Homberg, Laura Rinaldi, Thomas van Rompay, Raúl Zurita Milla

25-10-2024

https://doi.org/10.4081/gh.2024.1355

1522

PDF: 493

HTML: 95
Spatial-temporal risk factors in the occurrence of rabies in Mexico

Reyna Ortega-Sánchez, Isabel Bárcenas-Reyes, Jesús Luna-Cozar, Edith Rojas-Anaya, José Quintín Cuador-Gil, Germinal Jorge Cantó-Alarcón, Nerina Veyna-Salazar, Sara González-Ruiz, Feliciano Milián-Suazo

30-01-2024

https://doi.org/10.4081/gh.2024.1245

3844

PDF: 1065

HTML: 787
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

1026

PDF: 444

HTML: 222
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

718

PDF: 209

HTML: 6
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

7804

PDF: 1329

HTML: 846
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

1029

PDF: 337

HTML: 69
Measuring geographic access to emergency obstetric care: a comparison of travel time estimates modelled using Google Maps Directions API and AccessMod in three Nigerian conurbations

Peter M. Macharia, Kerry L.M. Wong, Lenka Beňová, Jia Wang, Prestige Tatenda Makanga, Nicolas Ray, Aduragbemi Banke-Thomas

27-05-2024

https://doi.org/10.4081/gh.2024.1266

2112

PDF: 664

Supplementary Materials: 103

HTML: 187
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

3515

PDF: 1860
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

8768

PDF: 1584
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

2059

PDF: 1091
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

4476

PDF: 1342

HTML: 2571
Sandwich mapping of schistosomiasis risk in Anhui Province, China

Yi Hu, Robert Bergquist, Henry Lynn, Fenghua Gao, Qizhi Wang, Shiqing Zhang, Rui Li, Liqian Sun, Congcong Xia, Chenglong Xiong, Zhijie Zhang, Qingwu Jiang

03-06-2015

https://doi.org/10.4081/gh.2015.324

2859

PDF: 1149

HTML: 1072
Role of malnutrition and parasite infections in the spatial variation in children's anaemia risk in northern Angola

Ricardo J. Soares Magalhães, Antonio Langa, João Mário Pedro, José Carlos Sousa-Figueiredo, Archie C.A. Clements, Susana Vaz Nery

341-354

01-05-2013

https://doi.org/10.4081/gh.2013.91

3801

PDF: 1777
Shrinking risk profiles after deworming of children in Port Elizabeth, South Africa, with special reference to Ascaris lumbricoides and Trichuris trichiura

Ivan Müller, Stefanie Gall, Lindsey Beyleveld, Markus Gerber, Uwe Pühse, Rosa du Randt, Peter Steinmann, Leyli Zondie, Cheryl Walter, Jürg Utzinger

27-11-2017

https://doi.org/10.4081/gh.2017.601

3008

PDF: 694

VIDEO: 0

HTML: 669
A preliminary spatial-temporal study of some soil characteristics in the calcareous massif of SicÃ³, Portugal

Maria Odete Torres, Maria Manuela Neves

18-04-2016

https://doi.org/10.4081/gh.2016.342

1676

PDF: 843

HTML: 923

Fig. 1: 247

Fig. 2: 243

Fig. 3: 252

Fig. 4: 211

Fig. 5: 232

Short Communication: 282
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

2209

PDF: 1324

HTML: 918
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

1510

PDF: 756

HTML: 55
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

2325

PDF: 793
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

2266

PDF: 538

HTML: 53
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

2406

PDF: 880
Earth observation in support of malaria control and epidemiology: MALAREO monitoring approaches

Jonas Franke, Michael Gebreslasie, Ides Bauwens, Julie Deleu, Florian Siegert

03-06-2015

https://doi.org/10.4081/gh.2015.335

4192

PDF: 1472

HTML: 1215
Spatial analysis of the prevalence of schistosomiasis in an endemic coastal area in north-eastern Brazil

Allan D. Santos, Jonhnatas Silva, Ana Caroline Lima, Márcio Santos, Shirley Lima, Monalisa Amor, Carlos Santos, Arthur Vasconcelos, Silvio Dolabella, Karina C.G.M. Araújo

27-11-2017

https://doi.org/10.4081/gh.2017.570

2903

PDF: 813

HTML: 863
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

08-05-2018

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

1624

PDF: 792

HTML: 158
Diagnostic approaches to malaria in Zambia, 2009-2014

Victor M. Mukonka, Emmanuel Chanda, Mulakwa Kamuliwo, Maha A. Elbadry, Pauline K. Wamulume, Mercy Mwanza-Ingwe, Jailos Lubinda, Lindsey A. Laytner, Wenyi Zhang, Gabriel Mushinge, Ubydul Haque

03-06-2015

https://doi.org/10.4081/gh.2015.330

3384

PDF: 1285

HTML: 1161
Geospatial tools and data for health service delivery: opportunities and challenges across the disaster management cycle

Fleur Hierink, Nima Yaghmaei, Mirjam I. Bakker, Nicolas Ray, Marc van den Homberg

29-10-2024

https://doi.org/10.4081/gh.2024.1284

5877

PDF: 548

Supplementary Materials: 168

HTML: 89
Socio-spatial vulnerability index of type 2 diabetes mellitus in Mexico in 2020

Enríque Ibarra-Zapata, Darío Gaytán-Hernández, Yolanda Terán-Figueroa, Verónica Gallegos-García, Carmen del Pilar Suárez-Rodríguez, Sergio Zarazúa Guzmán, Omar Parra Rodríguez

27-01-2025

https://doi.org/10.4081/gh.2025.1348

3747

PDF: 1349

HTML: 249
The future of general practitioner care in Lower Saxony, Germany: an analysis of actual vs target states using a GIS-based floating catchment area method

Jonas Schoo, Frank Schüssler

19-02-2025

https://doi.org/10.4081/gh.2025.1339

1946

PDF: 541

HTML: 98

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