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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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  • Evaluation of emergency medical service application from a geographical location perspective in Turkey

    Özgür Elmas, Rahmi Nurhan Çelik
    29-09-2025
    https://doi.org/10.4081/gh.2025.1408
    2770
    PDF: 502
    HTML: 59
  • Spatial comparison of herald and main waves in London's nineteenth-century cholera epidemics

    Walter Peterson
    19-10-2021
    https://doi.org/10.4081/gh.2021.983
    2193
    PDF: 884
    HTML: 56
  • Spatio-temporal analysis of fox rabies cases in Germany 2005-2006

    Matthias Eckardt, Conrad Freuling, Thomas Müller, Thomas Selhorst
    03-06-2015
    https://doi.org/10.4081/gh.2015.313
    2916
    PDF: 1288
    HTML: 1215
  • Implementation of geographical information systems for the study of diseases caused by vector-borne arboviruses in Southeast Asia: A review based on the publication record

    Ajib Diptyanusa, Lutfan Lazuardi, Retnadi Heru Jatmiko
    17-06-2020
    https://doi.org/10.4081/gh.2020.862
    2694
    PDF: 1338
    HTML: 186
  • Satellite imaging and vector-borne diseases: the approach of the French National Space Agency (CNES)

    Fabienne Marechal, Nathalie Ribeiro, Murielle Lafaye, Antonio Güell
    1-5
    01-11-2008
    https://doi.org/10.4081/gh.2008.226
    2538
    PDF: 1285
  • Impacts of sample ratio and size on the performance of random forest model to predict the potential distribution of snail habitats

    Yuanhua Liu, Jun Zhang, Michael P. Ward, Wei Tu, Lili Yu, Jin Shi, Yi Hu, Fenghua Gao, Zhiguo Cao, Zhijie Zhang
    03-07-2023
    https://doi.org/10.4081/gh.2023.1151
    2127
    PDF: 927
    Supplementary Materials: 164
    HTML: 64
  • 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
    4451
    PDF: 1937
    APPENDIX 1: 468
    APPENDIX 2: 498
    HTML: 1651
  • Smooth incidence maps give valuable insight into Q fever outbreaks in The Netherlands

    Wim van der Hoek, Jan van de Kassteele, Ben Bom, Arnout de Bruin, Frederika Dijkstra, Barbara Schimmer, Piet Vellema, Ronald ter Schegget, Peter M. Schneeberger
    127-134
    01-11-2012
    https://doi.org/10.4081/gh.2012.111
    2782
    PDF: 1390
  • Clusters of malaria cases at sub-district level in endemic area in Java Island, Indonesia

    Dwi Sarwani Sri Rejeki, Sri Nurlaela, Devi Octaviana, Bangun Wijayanto, Solikhah Solikhah
    18-05-2022
    https://doi.org/10.4081/gh.2022.1048
    2289
    PDF: 1506
    HTML: 149
  • 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
    3778
    PDF: 1939
    HTML: 2262
  • Rapid GIS-based profiling of West Nile virus transmission: defining environmental factors associated with an urbansuburban outbreak in Northeast Ohio, USA

    A. Desiree LaBeaud, Ann-Marie Gorman, Joe Koonce, Christopher Kippes, John McLeod, Joe Lynch, Timothy Gallagher, Charles H. King, Anna M. Mandalakas
    215-225
    01-05-2008
    https://doi.org/10.4081/gh.2008.245
    2447
    PDF: 995
  • A post-pandemic analysis of air pollution over small-sized urban areas in southern Thailand following the COVID-19 lockdown

    Dimitris Stratoulias, Beomgeun Jang, Narissara Nuthammachot
    07-07-2025
    https://doi.org/10.4081/gh.2025.1354
    1093
    PDF: 464
    Supplementary Materials: 104
    HTML: 62
  • Epidemiological characteristics and determination of spatio-temporal clusters during the 2013 dengue outbreak in Chiang Mai, Thailand

    Veerasak Punyapornwithaya, Chalutwan Sansamur, Arisara Charoenpanyanet
    29-12-2020
    https://doi.org/10.4081/gh.2020.857
    1828
    PDF: 827
    HTML: 20
  • Zoning the territory of the Republic of Kazakhstan as to the risk of rabies among various categories of animals

    Sarsenbay K. Abdrakhmanov, Akhmetzhan A. Sultanov, Kanatzhan K. Beisembayev, Fedor I. Korennoy, Dosym B. Кushubaev, Ablaikhan S. Каdyrov
    31-05-2016
    https://doi.org/10.4081/gh.2016.429
    2876
    PDF: 1437
    APPENDIX: 721
    HTML: 1511
  • https://commons.wikimedia.org/wiki/File:Theatre_batna_-_panoramio.jpg

    Identification and analysis of spatial access disparities related to primary healthcare in Batna City, Algeria

    Ahmed Akakba, Belkacem Lahmar
    14-12-2023
    https://doi.org/10.4081/gh.2023.1238
    2169
    PDF: 1245
    HTML: 46
  • 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
    1620
    PDF: 594
    HTML: 42
  • 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
    2818
    PDF: 1337
    APPENDIX: 488
    HTML: 1159
  • 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
    169
    PDF: 94
    Supplementary Materials: 20
  • Ecological characterization of a cutaneous leishmaniasis outbreak through remotely sensed land cover changes

    Verónica Andreo, Juan Rosa, Karina Ramos, O. Daniel Salomón
    06-05-2022
    https://doi.org/10.4081/gh.2022.1033
    1879
    PDF: 982
    Appendix: 181
    HTML: 42
  • Mapping the potential distribution of the schistosomiasis intermediate host Biomphalaria straminea in China

    Jingyu Fan, Xuejiao Yuan, Menglin Wang, Gengping Zhu
    09-11-2018
    https://doi.org/10.4081/gh.2018.723
    2418
    PDF: 1256
    APPENDIX: 387
    HTML: 121
  • Point process methods in epidemiology: application to the analysis of human immunodeficiency virus/acquired immunodeficiency syndrome mortality in urban areas

    Jose Antonio Quesada, Inmaculada Melchor, Andreu Nolasco
    26-05-2017
    https://doi.org/10.4081/gh.2017.506
    1875
    PDF: 1014
    HTML: 1067
  • Estimating malaria burden in Nigeria: a geostatistical modelling approach

    Nnadozie Onyiri
    04-11-2015
    https://doi.org/10.4081/gh.2015.306
    7851
    PDF: 3229
    HTML: 3287
  • Modelling and analyzing spatial clusters of leptospirosis based on satellite-generated measurements of environmental factors in Thailand during 2013-2015

    Amornrat Luenam, Nattapong Puttanapong
    26-11-2020
    https://doi.org/10.4081/gh.2020.856
    3580
    PDF: 1280
    HTML: 74
  • Trends in obesity at the national and local level among South Korean adolescents

    Kyungsoo Han, Sejin Park, Jürgen Symanzik, Sookhee Choi, Jeongyong Ahn
    31-05-2016
    https://doi.org/10.4081/gh.2016.381
    2882
    PDF: 1414
    HTML: 1230
  • Space-time clustering characteristics of dengue based on ecological, socio-economic and demographic factors in northern Sri Lanka

    Sumiko Anno, Keiji Imaoka, Takeo Tadono, Tamotsu Igarashi, Subramaniam Sivaganesh, Selvam Kannathasan, Vaithehi Kumaran, Sinnathamby Noble Surendran
    26-11-2015
    https://doi.org/10.4081/gh.2015.376
    3945
    PDF: 2248
    HTML: 1272
  • Prehistoric human migrations: a prospective subject for modelling using geographical information systems

    Robert Bergquist
    25-05-2023
    https://doi.org/10.4081/gh.2023.1210
    1567
    PDF: 563
    HTML: 68
  • Spatial dispersal of Aedes albopictus mosquitoes captured by the modified sticky ovitrap in Selangor, Malaysia

    Muhammad Aidil Roslan, Romano Ngui, Muhammad Fathi Marzuki, Indra Vythilingam, Aziz Shafie, Sabri Musa, Wan Yusoff Wan Sulaiman
    11-05-2022
    https://doi.org/10.4081/gh.2022.1025
    2083
    PDF: 914
    Annex I-VI: 176
    HTML: 75
  • The geographic environment and the frequency of falling: a study of mortality outcomes in elderly people in China

    Yi Huang, Chen Li, Xianjing Lu, Yue Wang
    25-05-2023
    https://doi.org/10.4081/gh.2023.1180
    1052
    PDF: 620
    HTML: 20
  • 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
    3924
    PDF: 1752
    HTML: 1213
  • 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
    1003
    PDF: 480
    Supplementary Materials: 114
    HTML: 19
  • COVID-19: Past, present and future

    Robert Bergquist
    09-09-2022
    https://doi.org/10.4081/gh.2022.1147
    1066
    PDF: 568
    HTML: 114
  • Geographical distribution and spatio-temporal patterns of hospitalization due to dengue infection at a leading specialist hospital in Malaysia

    Gary K.K. Low, Panayoti Papapreponis, Ridzuan M. Isa, Seng Chiew Gan, Hui Yee Chee, Kian Keong Te, Nadia M. Hatta
    07-05-2018
    https://doi.org/10.4081/gh.2018.642
    2487
    PDF: 1064
    APPENDIX: 472
    HTML: 127
  • Investigating local variation in disease rates within high-rate regions identified using smoothing

    Matthew Tuson, Matthew Yap, David Whyatt
    25-05-2023
    https://doi.org/10.4081/gh.2023.1144
    734
    PDF: 464
    Supplementary Materials: 138
    HTML: 36
  • 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
    8556
    PDF: 3568
    HTML: 2715
  • Assessing the relationship between environmental factors and malaria vector breeding sites in Swaziland using multi-scale remotely sensed data

    Sabelo Nick Dlamini, Jonas Franke, Penelope Vounatsou
    03-06-2015
    https://doi.org/10.4081/gh.2015.302
    4545
    PDF: 1856
    HTML: 1760
  • There is more to satellite imagery than meets the eye

    Robert Bergquist, John B. Malone
    31-05-2022
    https://doi.org/10.4081/gh.2022.1106
    2855
    PDF: 659
    HTML: 33
  • Spatial association between socio-economic health service factors and sepsis mortality in Thailand

    Juree Sansuk, Wongsa Laohasiriwong, Kittipong Sornlorm
    13-09-2023
    https://doi.org/10.4081/gh.2023.1215
    1801
    PDF: 705
    HTML: 51
  • Asthmatic symptoms and air pollution: a panel study on children living in the Italian Po Valley

    Andrea Ranzi, Anna Freni Sterrantino, Francesco Forastiere, Claudio Sartini, Giovanna Casale, Rino Cavallini, Aldo De Togni, Lorenza Gallo, Paolo Lauriola
    26-11-2015
    https://doi.org/10.4081/gh.2015.366
    3496
    PDF: 1602
    HTML: 1252
  • Future malaria spatial pattern based on the potential global warming impact in South and Southeast Asia

    Hassan M. Khormi, Lalit Kumar
    21-11-2016
    https://doi.org/10.4081/gh.2016.416
    5538
    PDF: 2659
    HTML: 2000
  • Evaluation of spatial cluster detection methods for dengue fever in the state of Paraiba, Brazil

    Alline Oliveira do Nascimento Veloso, Leonardo Wanderley Lopes, Ronei Marcos de Moraes
    27-10-2025
    https://doi.org/10.4081/gh.2025.1393
    620
    PDF: 379
    HTML: 39
  • Spatial pattern analysis of the impact of community food environments on foetal macrosomia, preterm births and low birth weight

    Micaela Natalia Campero, Carlos Matías Scavuzzo, Carlos Marcelo Scavuzzo, María Dolores Román
    07-05-2024
    https://doi.org/10.4081/gh.2024.1249
    1231
    PDF: 763
    Supplementary Materials: 158
    HTML: 72
  • Spatial variations of COVID-19 risk by age in Toronto, Canada

    Nushrat Nazia
    20-07-2022
    https://doi.org/10.4081/gh.2022.1100
    1222
    PDF: 549
    Appendix: 198
    HTML: 144
  • Migration statistics relevant for malaria transmission in Senegal derived from mobile phone data and used in an agent-based migration model

    Adrian M. Tompkins, Nicky McCreesh
    31-03-2016
    https://doi.org/10.4081/gh.2016.408
    3670
    PDF: 1516
    HTML: 1006
  • Climate and the distribution of vector-borne diseases: what's in store?

    Robert Bergquist
    08-05-2017
    https://doi.org/10.4081/gh.2017.549
    3407
    PDF: 1488
    HTML: 854
  • 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
    4696
    PDF: 1686
    HTML: 1223
  • Spatiotemporal patterns of mortality associated with chronic non-communicable diseases and child malnutrition at the municipal level in Mexico

    José Mauricio Galeana-Pizaña, Leslie Verdeja-Vendrell, Lizbeth Ixchel Díaz-Trejo, Carlos Anzaldo, Daniela Figueroa, Aldo Daniel Jiménez-Ortega
    17-05-2022
    https://doi.org/10.4081/gh.2022.1087
    1796
    PDF: 1023
    Appendix: 197
    HTML: 74
  • Geospatial analysis in the United States reveals the changing roles of temperature on COVID-19 transmission

    Ruiwen Xiong, Xiaolong Li
    20-07-2023
    https://doi.org/10.4081/gh.2023.1213
    1507
    PDF: 820
    HTML: 32
  • A conceptional model integrating geographic information systems (GIS) and social media data for disease exposure assessment

    Jerry Enoe , Michael Sutherland, Dexter Davis, Bheshem Ramlal, Charisse Griffith-Charles , Keston H. Bhola, Elsai Mati Asefa
    28-03-2024
    https://doi.org/10.4081/gh.2024.1264
    3141
    PDF: 931
    HTML: 121
  • Detecting space-time disease clusters with arbitrary shapes and sizes using a co-clustering approach

    Sami Ullah, Hanita Daud, Sarat C. Dass, Habib Nawaz Khan, Alamgir Khalil
    06-11-2017
    https://doi.org/10.4081/gh.2017.567
    3026
    PDF: 1150
    HTML: 710
  • The spatio-temporal distribution of Oncomelania hupensis along Yangtze river in Jiangsu Province, China after implementation of a new, integrated schistosomiasis control strategy

    Jian He, Wei Li, Robert Bergquist, Jian-Feng Zhang, Liang Shi, Song Zhao, Feng Wu, Kun Yang
    29-11-2016
    https://doi.org/10.4081/gh.2016.480
    3277
    PDF: 1045
    HTML: 913
  • 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
    1308
    PDF: 617
    HTML: 58
  • Disparities in COVID-19 health outcomes among different sub-immigrant groups in the US - a study based on the spatial Durbin model

    Jihoon Jung, Yoonjung Ahn, Joseph Bommarito
    18-03-2022
    https://doi.org/10.4081/gh.2022.1064
    1830
    PDF: 483
    Appendix: 333
    HTML: 16
  • Associations between seasonal influenza and meteorological parameters in Costa Rica, Honduras and Nicaragua

    Radina P. Soebiyanto, Wilfrido A. Clara, Jorge Jara, Angel Balmaseda, Jenny Lara, Mariel Lopez Moya, Rakhee Palekar, Marc-Alain Widdowson, Eduardo Azziz-Baumgartner, Richard K. Kiang
    04-11-2015
    https://doi.org/10.4081/gh.2015.372
    4676
    PDF: 1566
    HTML: 1173
  • Mapping the risk for transmission of urban schistosomiasis in the Brazilian Northeast

    Emília Carolle Azevedo de Oliveira, Iris Edna Pereira da Silva, Ricardo José Ferreira, Ricardo José de Paula Souza e Guimarães, Elainne Christine de Souza Gomes, Constança Simões Barbosa
    29-12-2020
    https://doi.org/10.4081/gh.2020.861
    2771
    PDF: 1077
    HTML: 73
  • Factors associated with the spatial distribution of leprosy: a systematic review of the published literature

    Nathan Guilherme de Oliveira, Bruna Eduarda Bortolomai, Andréa Cristina Bogado, Ida Maria Foschiani Dias-Baptista
    18-09-2025
    https://doi.org/10.4081/gh.2025.1394
    1041
    PDF: 462
    Supplementary materials: 88
    HTML: 19
  • 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
    3178
    PDF: 1026
    HTML: 893
  • Assessing the effects of air temperature and rainfall on malaria incidence: an epidemiological study across Rwanda and Uganda

    Felipe J. Colòn-González, Adrian M. Tompkins, Riccardo Biondi, Jean Pierre Bizimana, Didacus Bambaiha Namanya
    31-03-2016
    https://doi.org/10.4081/gh.2016.379
    6553
    PDF: 2395
    Appendix: 647
    HTML: 3348
    Appendix: 263
  • 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
    4608
    PDF: 1618
    HTML: 276
  • Spatial cluster analysis of COVID-19 in Malaysia (Mar-Sep, 2020)

    Sami Ullah, Nurul Hidayah Mohd Nor, Hanita Daud, Nooraini Zainuddin, Muhammad Salim Javed Gandapur, Iftikhar Ali, Alamgir Khalil
    05-05-2021
    https://doi.org/10.4081/gh.2021.961
    4146
    PDF: 1694
    HTML: 121
  • Predominance and geo-mapping of avian influenza H5N1 in poultry sectors in Egypt

    Abdelsatar Arafa, Ihab El-Masry, Shereen Khoulosy, Mohammed K. Hassan, Moussa Soliman, Olubunmi G. Fasanmi, Folorunso O. Fasina, Gwenaelle Dauphin, Juan Lubroth, Yilma M. Jobre
    28-11-2016
    https://doi.org/10.4081/gh.2016.492
    2983
    PDF: 1236
    APPENDIX: 512
    HTML: 1529
  • Spatial abundance and human biting rate of Anopheles arabiensis and Anopheles funestus in savannah and rice agro-ecosystems of Central Tanzania

    Leonard E.G. Mboera, Veneranda M. Bwana, Susan F. Rumisha, Grades Stanley, Patrick K. Tungu, Robert C. Malima
    18-05-2015
    https://doi.org/10.4081/gh.2015.322
    3251
    PDF: 1522
    HTML: 1422
  • Performance of a negative binomial-GLM in spatial scan statistic: a case study of low-birth weights in Pakistan

    Sami Ullah, Mushtaq Ahmad Khan Barakzai, Tianfa Xie
    03-09-2024
    https://doi.org/10.4081/gh.2024.1313
    1516
    PDF: 658
    HTML: 165
  • Spatial statistical analysis of Coronavirus Disease 2019 (Covid-19) in China

    Huling Li, Hui Li, Zhongxing Ding, Zhibin Hu, Feng Chen, Kai Wang, Zhihang Peng, Hongbing Shen
    15-06-2020
    https://doi.org/10.4081/gh.2020.867
    7166
    PDF: 3174
    HTML: 99
101 - 163 of 163 items << < 1 2 

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vHealth Section

Geospatial Health
opens the new vHealth section. Discover vHealth

Vol. 21 No. 1 (2026)
Collective efficacy and community readiness for dementia prevention: a spatial spillover analysis
Duan-Rung Chen et al.
8 June 2026
Vol. 21 No. 1 (2026)
A Bayesian spatial ecological analysis of social conditions, infection burden and COVID-19 mortality across mainland Scottish councils 2020-2021
Zhiyuan Luo et al.
10 June 2026
Vol. 21 No. 1 (2026)
Prioritizing the tuberculosis burden by the analytic hierarchy process for effective targeted intervention
Madhu Basavegowda et al.
15 June 2026
Vol. 21 No. 1 (2026)
Evaluation of household knowledge, attitudes and practices concerning malaria in the city of Djibouti
Osman Abdillahi Guedi et al.
16 June 2026

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Geospatial Health

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