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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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  • 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
    3673
    PDF: 1880
    HTML: 2248
  • A preliminary spatial-temporal study of some soil characteristics in the calcareous massif of Sicó, Portugal

    Maria Odete Torres, Maria Manuela Neves
    18-04-2016
    https://doi.org/10.4081/gh.2016.342
    1866
    PDF: 954
    HTML: 927
    Fig. 1: 314
    Fig. 2: 301
    Fig. 3: 299
    Fig. 4: 281
    Fig. 5: 313
    Short Communication: 339
  • 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
    2380
    PDF: 1808
    HTML: 1144
  • 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
    2207
    PDF: 958
    HTML: 91
  • 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
    1775
    PDF: 933
    HTML: 64
  • 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
    4604
    PDF: 1379
    HTML: 1070
  • 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
    3152
    PDF: 1229
    HTML: 1080
  • Comparison of data-fitting models for schistosomiasis: a case study in Xingzi, China

    Yi Hu, Cheng-Long Xiong, Zhi-Jie Zhang, Robert Bergquist, Zeng-Liang Wang, Jie Gao, Rui Li, Bo Tao, Qiu-Lin Jiang, Qingwu Jiang
    125-132
    01-11-2013
    https://doi.org/10.4081/gh.2013.60
    2798
    PDF: 1076
  • Geospatial Health: the first five years

    Jürg Utzinger, Laura Rinaldi, John B. Malone, Stefanie J. Krauth, Thomas K. Kristensen, Giuseppe Cringoli, Robert Bergquist
    137-154
    01-11-2011
    https://doi.org/10.4081/gh.2011.166
    3103
    PDF: 1367
  • 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
    1741
    PDF: 957
    Appendix: 137
    HTML: 78
  • 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
    4834
    PDF: 1490
    HTML: 2583
  • Geospatial tools for the identification of a malaria corridor in Estado Sucre, a Venezuelan north-eastern state

    Laura Delgado-Petrocelli, Alberto Camardiel, Víctor Hugo Aguilar, Néstor Martinez, Karenia Còrdova, Santiago Ramos
    169-176
    01-05-2011
    https://doi.org/10.4081/gh.2011.168
    2529
    PDF: 994
  • 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
    3816
    PDF: 1810
    HTML: 743
  • 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
    6339
    PDF: 2615
    HTML: 3128
  • 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
    2625
    PDF: 897
  • 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
    4360
    PDF: 2297
    HTML: 2201
  • 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
    2775
    PDF: 1022
  • Integrated disease mapping in a polyparasitic world

    Simon Brooker, Jürg Utzinger
    141-146
    01-05-2007
    https://doi.org/10.4081/gh.2007.262
    2718
    PDF: 1249
  • 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
    2427
    PDF: 747
    HTML: 895
  • 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
    1288
    PDF: 570
    HTML: 21
  • 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
    3174
    PDF: 1358
    HTML: 1623
  • 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
    3762
    PDF: 1680
    HTML: 1207
  • Spatial analysis of the regional variation of hypertensive disease mortality and its socio-economic correlates in South Korea

    Seong-Yong Park, Jin-Mi Kwak, Eun-Won Seo, Kwang-Soo Lee
    31-05-2016
    https://doi.org/10.4081/gh.2016.420
    3068
    PDF: 1752
    HTML: 1381
  • Estimating malaria burden in Nigeria: a geostatistical modelling approach

    Nnadozie Onyiri
    04-11-2015
    https://doi.org/10.4081/gh.2015.306
    7571
    PDF: 3162
    HTML: 3275
  • 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
    439
    PDF: 391
    HTML: 35
  • 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
    3703
    PDF: 1352
    HTML: 1151
  • 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
    2272
    PDF: 1640
    APPENDIX: 634
    HTML: 1041
  • Development of the first georeferenced map of Rhipicephalus (Boophilus) spp. in Mexico from 1970 to date and prediction of its spatial distribution

    Yazmin Alcala-Canto, Juan Antonio Figueroa-Castillo, Froylán Ibarra-Velarde, Yolanda Vera-Montenegro, María Eugenia Cervantes-Valencia, Abdelfattah Z.M. Salem, Jorge Alfredo Cuéllar-Ordaz
    07-05-2018
    https://doi.org/10.4081/gh.2018.624
    4550
    PDF: 1320
    HTML: 275
  • 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
    4564
    PDF: 1631
    HTML: 1219
  • From Snow’s map of cholera transmission to dynamic catchment boundary delineation: current front lines in spatial analysis

    Behzad Kiani, Colleen Lau, Robert Bergquist
    26-10-2023
    https://doi.org/10.4081/gh.2023.1247
    2025
    PDF: 865
    HTML: 31
1 - 30 of 30 items

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vHealth Section

Geospatial Health
opens the new vHealth section. Discover vHealth

Vol. 21 No. 1 (2026)
Spatial inequalities in cancer with special reference to lung cancer across Europe and their implications for environmental health policy
Dimitrios Ntokos
14 April 2026
Vol. 21 No. 1 (2026)
Snakebite epidemiology in the State of Mexico, Mexico 2003-2024
Aldo Gómez-Benitez et al.
9 April 2026
Vol. 21 No. 1 (2026)
Diabetes prevalence in the state of Alabama: identifying the risk factors
Kwaku Karikari Manu et al.
31 March 2026

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Geospatial Health

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eISSN: 1970-7096

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