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Geospatial Health

eISSN 1970-7096 - pISSN 1827-1987

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Editor-in-Chief: Robert Bergquist

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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
    7044
    PDF: 2449
    APPENDIX: 1148
    HTML: 5296
  • 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
    3534
    PDF: 1803
    HTML: 2239
  • 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
    198
    PDF: 108
    HTML: 4
  • 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
    2249
    PDF: 1728
    HTML: 1140
  • 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
    4152
    PDF: 1754
    HTML: 1235
  • 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
    2106
    PDF: 1580
    APPENDIX: 590
    HTML: 1037
  • 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
    861
    PDF: 513
    HTML: 56
  • 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
    1272
    PDF: 521
    HTML: 14
  • 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
    4220
    PDF: 2253
    HTML: 2178
  • 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
    1367
    PDF: 671
    HTML: 61
  • 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
    895
    PDF: 426
    HTML: 45
  • 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
    1409
    PDF: 472
    HTML: 33
  • 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
    3034
    PDF: 1698
    HTML: 1387
  • 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
    1143
    PDF: 592
    HTML: 137
  • 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
    2054
    PDF: 1327
    HTML: 953
  • 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
    2084
    PDF: 535
    Supplementary 1: 126
    Supplementary 2: 293
    HTML: 154
  • 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
    7985
    PDF: 3348
    HTML: 2678
  • 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
    3304
    PDF: 1640
  • 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
    2201
    PDF: 1187
  • 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
    2652
    PDF: 1262
    APPENDIX: 450
    HTML: 1131
  • 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
    2475
    PDF: 1521
    HTML: 331
  • 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
    3627
    PDF: 893
    HTML: 721
  • 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
    580
    PDF: 289
    HTML: 12
  • 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
    1964
    PDF: 357
    HTML: 7
  • 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
    3456
    PDF: 1400
  • 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
    3564
    PDF: 1265
    HTML: 866
  • 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
    315
    PDF: 183
    Supplementary materials: 35
    HTML: 5
  • 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
    2570
    PDF: 969
  • 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
    3545
    PDF: 1729
    HTML: 697
  • 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
    2093
    PDF: 1090
  • 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
    1454
    PDF: 776
  • 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
    2082
    PDF: 915
    HTML: 692
  • 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
    2527
    PDF: 859
    HTML: 129
  • 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
    2713
    PDF: 1462
  • 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
    3467
    PDF: 1610
  • 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
    2689
    PDF: 765
    HTML: 838
  • 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
    1435
    PDF: 840
    HTML: 48
  • 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
    4293
    PDF: 1206
    HTML: 1200
  • 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
    4041
    PDF: 1762
    APPENDIX 1: 448
    APPENDIX 2: 452
    HTML: 1641
  • 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
    2012
    PDF: 961
    HTML: 39
  • 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
    840
    PDF: 593
    HTML: 49
  • 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
    1310
    PDF: 635
    Supplementary Materials: 99
    HTML: 16
  • 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
    3533
    PDF: 1293
    HTML: 1145
  • 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
    2255
    PDF: 1306
    HTML: 1139
1 - 44 of 44 items

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Geospatial Health
opens the new vHealth section. Discover vHealth

Vol. 20 No. 2 (2025)
Evaluation of emergency medical service application from a geographical location perspective in Turkey
Özgür Elmas et al.
29 September 2025

Keywords

Geospatial Health

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