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Geospatial Health

eISSN 1970-7096 - pISSN 1827-1987

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Editor-in-Chief: Behzad Kiani

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  • Prediction of dengue cases using the attention-based long short-term memory (LSTM) approach

    Mokhalad A. Majeed, Helmi Z. M. Shafri, Aimrun Wayayok, Zed Zulkafli
    25-05-2023
    https://doi.org/10.4081/gh.2023.1176
    3676
    PDF: 1565
    Supplementary Materials: 215
    HTML: 135
  • 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
    741
    PDF: 443
    Supplementary materials: 68
    HTML: 17
  • 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
    4519
    PDF: 2001
    APPENDIX 1: 480
    APPENDIX 2: 511
    HTML: 1653
  • Associations between rocky mountain spotted fever and veterinary care access, climatic factors and landscape in the State of Arizona, USA

    Yan Lin, Al Ekram Elahee Hridoy , Meifang Li, Zhe Wang, Li Luo, Xiaogang Ma, Zhuoming Liu, Murphy John, Chao Fan, Irene Ruberto, Xi Gong, Xun Shi
    17-07-2025
    https://doi.org/10.4081/gh.2025.1390
    1141
    PDF: 967
    Supplementary Materials: 125
    HTML: 116
  • 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
    5593
    PDF: 2707
    HTML: 2000
  • 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
    4597
    PDF: 1948
    HTML: 1246
  • Spatial analysis of cutaneous leishmaniasis in an endemic area of Iran based on environmental factors

    Roghieh Ramezankhani, Nooshin Sajjadi, Roya Nezakati Esmaeilzadeh, Seyed Ali Jozi, Mohammad Reza Shirzadi
    08-11-2017
    https://doi.org/10.4081/gh.2017.578
    3033
    PDF: 1213
    HTML: 958
  • Methodological framework for assessing malaria risk associated with climate change in Côte d’Ivoire

    Yao Etienne Kouakou, Iba Dieudonné Dely, Madina Doumbia, Aziza Ouattara, Effah Jemima N’da, Koffi Evrard Brou, Yao Anicet Zouzou, Guéladio Cissé, Brama Koné
    28-08-2024
    https://doi.org/10.4081/gh.2024.1285
    1868
    PDF: 903
    HTML: 103
  • 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
    4150
    PDF: 1616
    HTML: 1150
  • Impact of climate variability on the occurrence of cutaneous leishmaniasis in Khuzestan Province, southwestern Iran

    Farideh Azimi, Sadegh Shirian, Saranaz Jangjoo, Arman Ai, Tahereh Abbasi
    08-05-2017
    https://doi.org/10.4081/gh.2017.478
    3151
    PDF: 1500
    HTML: 1081
  • 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
    6604
    PDF: 2728
    HTML: 3139
  • Climate change and species distribution: possible scenarios for thermophilic ticks in Romania

    Cristian DomÈ™a, Attila D. Sándor, Andrei D. Mihalca
    31-05-2016
    https://doi.org/10.4081/gh.2016.421
    3183
    PDF: 1478
    HTML: 1686
  • 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
    6626
    PDF: 2448
    Appendix: 662
    HTML: 3361
    Appendix: 276
  • 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
    4907
    PDF: 1505
    HTML: 1136
  • Geographical distribution of the association between El Niño South Oscillation and dengue fever in the Americas: a continental analysis using geographical information system-based techniques

    Marcos C. Ferreira
    141-151
    01-11-2014
    https://doi.org/10.4081/gh.2014.12
    3777
    PDF: 2055
  • 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
    4485
    PDF: 2360
    HTML: 2213
  • 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
    2932
    PDF: 1475
    APPENDIX: 739
    HTML: 1512
  • 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
    1874
    PDF: 1058
    HTML: 175
  • Landscape, demographic and climatic associations with human West Nile virus occurrence regionally in 2012 in the United States of America

    John P. DeGroote, Ramanathan Sugumaran, Mark Ecker
    153-168
    01-11-2014
    https://doi.org/10.4081/gh.2014.13
    2606
    PDF: 1385
  • A dynamic, climate-driven model of Rift Valley fever

    Joseph Leedale, Anne E. Jones, Cyril Caminade, Andrew P. Morse
    31-03-2016
    https://doi.org/10.4081/gh.2016.394
    4965
    PDF: 2162
    Appendix: 603
    HTML: 1600
  • 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
    3598
    PDF: 1701
    HTML: 1050
  • 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
    1545
    PDF: 967
    HTML: 151
  • 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
    3980
    PDF: 1790
    HTML: 1214
  • Assessment of malaria transmission changes in Africa, due to the climate impact of land use change using Coupled Model Intercomparison Project Phase 5 earth system models

    Adrian M. Tompkins, Luca Caporaso
    31-03-2016
    https://doi.org/10.4081/gh.2016.380
    4370
    PDF: 1971
    HTML: 1286
  • Validation of a spatial liver fluke model under field conditions in Ireland

    Amalia Naranjo Lucena, María Pía Munita Corbalán, Ana María Martínez-Ibeas, Guy McGrath, Riona Sayers, Grace Mulcahy, Annetta Zintl
    07-05-2018
    https://doi.org/10.4081/gh.2018.641
    2500
    PDF: 1120
    HTML: 192
  • Cluster analysis of fasciolosis in dairy cow herds in Munster province of Ireland and detection of major climatic and environmental predictors of the exposure risk

    Nikolaos Selemetas, Paul Phelan, Padraig O'Kiely, Theo de Waal
    271-279
    19-03-2015
    https://doi.org/10.4081/gh.2015.349
    2878
    PDF: 1450
  • Projecting malaria hazard from climate change in eastern Africa using large ensembles to estimate uncertainty

    Joseph Leedale, Adrian M. Tompkins, Cyril Caminade, Anne E. Jones, Grigory Nikulin, Andrew P. Morse
    31-03-2016
    https://doi.org/10.4081/gh.2016.393
    4799
    PDF: 1969
    HTML: 2563
  • 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
    4003
    PDF: 1332
    APPENDIX: 470
    HTML: 869
  • Outbreak of acute fasciolosis in sheep farms in a Mediterranean area arising as a possible consequence of climate change

    Antonio Bosco, Laura Rinaldi, Vincenzo Musella, Alessandra Amadesi, Giuseppe Cringoli
    319-324
    19-03-2015
    https://doi.org/10.4081/gh.2015.354
    3561
    PDF: 1831
  • One health review of recent Salmonella dynamics and human health outcomes in the United States

    Geoffrey Kangogo, Lavanya Sankaran, Mitesh Rajpurohit, Kate E. Trout
    11-12-2025
    https://doi.org/10.4081/gh.2025.1416
    936
    PDF: 586
    HTML: 88
  • Climatic factors associated with amyotrophic lateral sclerosis: a spatial analysis from Taiwan

    Ching-Piao Tsai, Charles Tzu-Chi Lee
    45-52
    01-11-2013
    https://doi.org/10.4081/gh.2013.53
    1998
    PDF: 1118
  • Effect modification of the association between meteorological variables and mortality by urban climatic conditions in the tropical city of Kaohsiung, Taiwan

    William B. Goggins, Chao Ren, Edward Ng, Chunyuh Yang, Emily Y.Y. Chan
    37-44
    01-11-2013
    https://doi.org/10.4081/gh.2013.52
    2537
    PDF: 1477
  • Remote sensing and climate data as a key for understanding fasciolosis transmission in the Andes: review and update of an ongoing interdisciplinary project

    Márius V. Fuentes
    59-70
    01-11-2006
    https://doi.org/10.4081/gh.2006.281
    2002
    PDF: 1165
  • To what extent does climate explain variations in reported malaria cases in early 20th century Uganda?

    Adrian M. Tompkins, Laragh Larsen, Nicky McCreesh, David Taylor
    31-03-2016
    https://doi.org/10.4081/gh.2016.407
    4875
    PDF: 1369
    Appendix: 598
    HTML: 1234
  • Importance of individual analysis of environmental and climatic factors affecting the density of Leishmania vectors living in the same geographical area: the example of Phlebotomus ariasi and P. perniciosus in northeast Spain

    Cristina Ballart, Irene Guerrero, Xavier Castells, Sergio Baròn, Soledad Castillejo, M. Magdalena Alcover, Montserrat Portús, Montserrat Gállego
    389-403
    01-05-2014
    https://doi.org/10.4081/gh.2014.28
    3271
    PDF: 1440
  • 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 Simões Barbosa
    25-11-2016
    https://doi.org/10.4081/gh.2016.490
    3309
    PDF: 1453
    HTML: 1630
  • 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
    1531
    PDF: 853
    HTML: 32
  • Modelling recent and future climatic suitability for fasciolosis in Europe

    Cyril Caminade, Jan van Dijk, Matthew Baylis, Diana Williams
    301-308
    19-03-2015
    https://doi.org/10.4081/gh.2015.352
    5633
    PDF: 1842
  • Habitat suitability map of Ixodes ricinus tick in France using multi-criteria analysis

    Isabelle Lebert, Séverine Bord, Christine Saint-Andrieux, Eva Cassar, Patrick Gasqui, Frédéric Beugnet, Karine Chalvet-Monfray, Sophie O. Vanwambeke, Gwenaël Vourc’h, Magalie René-Martellet
    17-05-2022
    https://doi.org/10.4081/gh.2022.1058
    11142
    PDF: 2641
    Appendix: 413
    HTML: 402
  • 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
    2358
    PDF: 1015
    HTML: 100
  • Spatial analysis and risk mapping of Fasciola hepatica infection in dairy herds in Ireland

    Nikolaos Selemetas, Els Ducheyne, Paul Phelan, Padraig O'Kiely, Guy Hendrickx, Theo de Waal
    281-291
    19-03-2015
    https://doi.org/10.4081/gh.2015.350
    4553
    PDF: 2047
  • 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
    3464
    PDF: 1792
    HTML: 218
  • Mapping urban and peri-urban breeding habitats of Aedes mosquitoes using a fuzzy analytical hierarchical process based on climatic and physical parameters

    Muhammad Shahzad Sarfraz, Nagesh K. Tripathi, Fazlay S. Faruque, Usama Ijaz Bajwa, Asanobu Kitamoto, Marc Souris
    S685-S697
    01-12-2014
    https://doi.org/10.4081/gh.2014.297
    11217
    PDF: 2922
  • American cutaneous leishmaniasis cases in the metropolitan region of Manaus, Brazil: association with climate variables over time

    Rodrigo Augusto Ferreira de Souza, Rita Valéria Andreoli, Mary Toshie Kayano, Afrânio Lima Carvalho
    18-05-2015
    https://doi.org/10.4081/gh.2015.314
    3133
    PDF: 1595
    HTML: 830
  • 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
    4438
    PDF: 1679
    HTML: 1072
  • 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
    1018
    PDF: 399
    Supplementary materials: 123
    HTML: 12
  • Analytical report of the 2016 dengue outbreak in Córdoba city, Argentina

    Camilo Rotela, Laura Lopez, María Frías Céspedes, Gabriela Barbas, Andrés Lighezzolo, Ximena Porcasi, Mario A. Lanfri, Carlos M. Scavuzzo, David E. Gorla
    06-11-2017
    https://doi.org/10.4081/gh.2017.564
    3586
    PDF: 1434
    HTML: 866
  • Mathematical modelling of the impact of climatic conditions in France on Rhipicephalus sanguineus tick activity and density since 1960

    Frédéric Beugnet, Michel Kolasinski, Paul-Antoine Michelangeli, Julien Vienne, Harilaos Loukos
    255-263
    01-05-2011
    https://doi.org/10.4081/gh.2011.178
    2861
    PDF: 1738
  • Estimating malaria burden in Nigeria: a geostatistical modelling approach

    Nnadozie Onyiri
    04-11-2015
    https://doi.org/10.4081/gh.2015.306
    7917
    PDF: 3290
    HTML: 3289
  • 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
    1808
    PDF: 647
    HTML: 55
  • Potential for spread of the white-nose fungus (Pseudogymnoascus destructans) in the Americas: use of Maxent and NicheA to assure strict model transference

    Luis E. Escobar, Andrés Lira-Noriega, Gonzalo Medina-Vogel, A. Townsend Peterson
    221-229
    01-11-2014
    https://doi.org/10.4081/gh.2014.19
    10925
    PDF: 3615
  • Impact of climate change on dengue fever: a bibliometric analysis

    Mai Liu, Yin Zhang
    19-02-2025
    https://doi.org/10.4081/gh.2025.1301
    2880
    PDF: 984
    Supplementary Materials: 389
    HTML: 140
  • Impact of climate change and man-made irrigation systems on the transmission risk, long-term trend and seasonality of human and animal fascioliasis in Pakistan

    Kiran Afshan, Cesar A. Fortes-Lima, Patricio Artigas, M. Adela Valero, Mazhar Qayyum, Santiago Mas-Coma
    317-334
    01-05-2014
    https://doi.org/10.4081/gh.2014.22
    27331
    PDF: 2491
  • Spatial analysis of risk factors for transmission of the Barmah Forest virus in Queensland, Australia

    Suchithra Naish, Kerrie Mengersen, Shilu Tong
    289-299
    01-11-2013
    https://doi.org/10.4081/gh.2013.74
    1947
    PDF: 1131
  • 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
    4754
    PDF: 1896
    HTML: 1762
  • Mosquito habitat and dengue risk potential in Kenya: alternative methods to traditional risk mapping techniques

    David F. Attaway, Kathryn H. Jacobsen, Allan Falconer, Germana Manca, Lauren Rosenshein Bennett, Nigel M. Waters
    119-130
    01-11-2014
    https://doi.org/10.4081/gh.2014.10
    3546
    PDF: 1763
  • 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
    5109
    PDF: 2566
  • Spatial epidemiology and meteorological risk factors of COVID-19 in Fars Province, Iran

    Marjan Zare, Ali Semati, Alireza Mirahmadizadeh, Abdulrasool Hemmati, Mostafa Ebrahimi
    08-06-2022
    https://doi.org/10.4081/gh.2022.1065
    1217
    PDF: 637
    HTML: 46
  • 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
    3840
    PDF: 1983
    HTML: 2265
  • 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
    1950
    PDF: 1015
    HTML: 71
  • Mapping malaria risk using geographic information systems and remote sensing: The case of Bahir Dar City, Ethiopia

    Amare Sewnet Minale, Kalkidan Alemu
    07-05-2018
    https://doi.org/10.4081/gh.2018.660
    7489
    PDF: 2623
    HTML: 1247
  • 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
    2180
    PDF: 970
    Supplementary Materials: 179
    HTML: 66
  • The basic reproduction quotient (Q0) as a potential spatial predictor of the seasonality of ovine haemonchosis

    Muhammad-Bashir Bolajoko, Hannah Rose, Vincenzo Musella, Antonio Bosco, Laura Rinaldi, Jan van Dijk, Giuseppe Cringoli, Eric R. Morgan
    333-350
    19-03-2015
    https://doi.org/10.4081/gh.2015.356
    2587
    PDF: 1648
  • 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
    1326
    PDF: 553
    Supplementary Materials: 139
    HTML: 19
  • Haemonchus contortus: spatial risk distribution for infection in sheep in Europe

    Laura Rinaldi, Dolores Catelan, Vincenzo Musella, Lorenzo Cecconi, Hubertus Hertzberg, Paul R. Torgerson, Fabien Mavrot, Theo de Waal, Nikolaos Selemetas, Tom Coll, Antonio Bosco, Annibale Biggeri, Giuseppe Cringoli
    325-331
    19-03-2015
    https://doi.org/10.4081/gh.2015.355
    5027
    PDF: 2304
  • Redefining climate regions in the United States of America using satellite remote sensing and machine learning for public health applications

    Alexander Liss, Magaly Koch, Elena N. Naumova
    S467-S659
    01-12-2014
    https://doi.org/10.4081/gh.2014.294
    3390
    PDF: 1536
  • 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
    4334
    PDF: 2275
  • The spatial distribution of interleukin-4 (IL-4) reference values in China based on a back propagation (BP) neural network

    Zhao Rong Huang, Miao Ge, Xin Rui Pang, Pu Song, Congxia Wang
    13-09-2023
    https://doi.org/10.4081/gh.2023.1197
    1412
    PDF: 634
    HTML: 27
  • Spatiotemporal dengue fever hotspots associated with climatic factors in Taiwan including outbreak predictions based on machine-learning

    Sumiko Anno, Takeshi Hara, Hiroki Kai, Ming-An Lee, Yi Chang, Kei Oyoshi, Yousei Mizukami, Takeo Tadono
    06-11-2019
    https://doi.org/10.4081/gh.2019.771
    6951
    PDF: 2751
    APPENDIX: 399
    HTML: 500
  • 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
    2429
    PDF: 1731
    APPENDIX: 675
    HTML: 1054
  • Modeling freshwater snail habitat suitability and areas of potential snail-borne disease transmission in Uganda

    A.S. Stensgaard, A. Jørgensen, N.B. Kabatereine, C. Rahbek, T.K. Kristensen
    93-104
    01-11-2006
    https://doi.org/10.4081/gh.2006.284
    3537
    PDF: 1804
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Geospatial Health
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Vol. 21 No. 2 (2026)
Spatial risk of hypertension in rural China: modelling the effect of dietary, behavioural and climate factors
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23 July 2026
Vol. 21 No. 2 (2026)
Epidemiological and spatial analysis of breast cancer mortality and survival among women in San Luis Potosi, Mexico 2009-2019
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23 July 2026
Vol. 21 No. 2 (2026)
Geospatial assessment of dengue fever risk and spatial patterns in Phayao Province, Thailand
Phaisarn Jeefoo et al.
23 July 2026

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