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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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  • A geospatial analysis of cardiometabolic diseases and their risk factors considering environmental features in a midsized city in Argentina

    Micaela Natalia Campero, Carlos Matías Scavuzzo, Veronica Andreo, María Sol Mileo, Micaela Belén Franzois, María Georgina Oberto, Carla Gonzalez Rodriguez, María Daniela Defagó
    23-10-2023
    https://doi.org/10.4081/gh.2023.1212
    1667
    PDF: 825
    HTML: 26
  • The influence of urban heat islands and socioeconomic factors on the spatial distribution of Aedes aegypti larval habitats

    Thiago S. de Azevedo, Brian Patrick Bourke, Rafael Piovezan, Maria Anice M. Sallum
    08-05-2018
    https://doi.org/10.4081/gh.2018.623
    3046
    PDF: 1453
    HTML: 548
  • 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
    1771
    PDF: 900
    Appendix: 156
    HTML: 37
  • Urban environmental clustering to assess the spatial dynamics of Aedes aegypti breeding sites

    Guillermo Albrieu-Llinás, Manuel O. Espinosa, Agustín Quaglia, Marcelo Abril, Carlos Marcelo Scavuzzo
    07-05-2018
    https://doi.org/10.4081/gh.2018.654
    3070
    PDF: 1418
    HTML: 196
  • MALAREO: a user-driven project

    Michael T. Gebreslasie, Ides Bauwens
    04-11-2015
    https://doi.org/10.4081/gh.2015.329
    2831
    PDF: 1239
    HTML: 993
  • 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
    6313
    PDF: 2599
    HTML: 3126
  • Rivers and flooded areas identified by medium-resolution remote sensing improve risk prediction of the highly pathogenic avian influenza H5N1 in Thailand

    Weerapong Thanapongtharm, Thomas P. Van Boeckel, Chandrashekhar Biradar, Xiangming Xiao, Marius Gilbert
    193-201
    01-11-2013
    https://doi.org/10.4081/gh.2013.66
    1891
    PDF: 1169
  • Satellite-based forest monitoring: spatial and temporal forecast of growing index and short-wave infrared band

    Caroline Bayr, Heinz Gallaun, Ulrike Kleb, Birgit Kornberger, Martin Steinegger, Martin Winter
    18-04-2016
    https://doi.org/10.4081/gh.2016.310
    2493
    PDF: 1416
    HTML: 2019
  • 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
    3737
    PDF: 1663
    HTML: 1202
  • Improving AfriPop dataset with settlement extents extracted from RapidEye for the border region comprising South-Africa, Swaziland and Mozambique

    Julie Deleu, Jonas Franke, Michael Gebreslasie, Catherine Linard
    04-11-2015
    https://doi.org/10.4081/gh.2015.336
    2601
    PDF: 1175
    HTML: 1129
  • 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
    2698
    PDF: 609
    HTML: 27
  • Environmental determinants of Opisthorchis viverrini prevalence in northeast Thailand

    Yi-Chen Wang, Chen-Chieh Feng, Paiboon Sithithaworn
    111-123
    01-11-2013
    https://doi.org/10.4081/gh.2013.59
    2457
    PDF: 1284
  • Mapping environmental susceptibility to Saint Louis encephalitis virus, based on a decision tree model of remotelysensed data

    Camilo H. Rotela, Lorena I. Spinsanti, Mario A. Lamfri, Marta S. Contigiani, Walter R. Almiròn, Carlos M. Scavuzzo
    85-94
    01-11-2011
    https://doi.org/10.4081/gh.2011.160
    1364
    PDF: 875
  • 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
    4342
    PDF: 2288
    HTML: 2196
  • Incidence of visceral leishmaniasis in the Vaishali district of Bihar, India: spatial patterns and role of inland water bodies

    Gouri Sankar Bhunia, Shreekant Kesari, Nandini Chatterjee, Dilip Kumar Pal, Vijay Kumar, Alok Ranjan, Pradeep Das
    205-215
    01-05-2011
    https://doi.org/10.4081/gh.2011.173
    1917
    PDF: 1144
  • Stratifying land use/land cover for spatial analysis of disease ecology and risk: an example using object-based classification techniques

    David E. Koch, Rhett L. Mohler, Douglas G. Goodin
    15-28
    01-11-2007
    https://doi.org/10.4081/gh.2007.251
    2268
    PDF: 1067
  • Remote sensing for predicting potential habitats of Oncomelania hupensis in Hongze, Baima and Gaoyou lakes in Jiangsu province, China

    Guo-Jing Yang, Penelope Vounatsou, Marcel Tanner, Xiao-Nong Zhou, Jürg Utzinger
    85-92
    01-11-2006
    https://doi.org/10.4081/gh.2006.283
    2567
    PDF: 1145
  • Landscape attributes driving avian influenza virus circulation in the Lake Alaotra region of Madagascar

    Laure Guerrini, Mathilde C. Paul, Lucas Leger, Harentsoaniaina R. Andriamanivo, Olivier F. Maminiaina, Marion Jourdan, Sophie Molia, René Rakotondravao, Véronique Chevalier
    445-453
    01-05-2014
    https://doi.org/10.4081/gh.2014.33
    2724
    PDF: 1148
  • 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
    2188
    PDF: 933
    HTML: 90
  • Land surface temperature predicts mortality due to chronic obstructive pulmonary disease: a study based on climate variables and impact machine learning

    Alireza Mohammadi, Bardia Mashhoodi, Ali Shamsoddini, Elahe Pishgar, Robert Bergquist
    26-03-2025
    https://doi.org/10.4081/gh.2025.1319
    2298
    PDF: 629
    HTML: 79
  • Spatial autocorrelation and stratified heterogeneity in the evaluation of breast cancer risk inequity and socioeconomic factors analysis in China: Evidence from Nanchang, Jiangxi Province

    Yaqi Wang, Zhiwei Wan
    17-05-2022
    https://doi.org/10.4081/gh.2022.1078
    1795
    PDF: 965
    HTML: 163
  • Spatial air pollution modelling for a West-African town

    Sirak Zenebe Gebreab, Danielle Vienneau, Christian Feigenwinter, Hampâté Bâ, Guéladio Cissé, Ming-Yi Tsai
    26-11-2015
    https://doi.org/10.4081/gh.2015.321
    3787
    PDF: 1708
    SUPPL. MATERIAL: 452
    HTML: 1085
  • Investigation of landscape risk factors for the recent spread of varroa mite (Varroa destructor) in European honeybee (Apis mellifera) colonies in New South Wales, Australia

    Emily Phaboutdy, Michael Ward
    04-07-2024
    https://doi.org/10.4081/gh.2024.1282
    2145
    PDF: 696
    HTML: 24
  • Spatial accessibility to basic public health services in South Sudan

    Peter M. Macharia, Paul O. Ouma, Ezekiel G. Gogo, Robert W. Snow, Abdisalan M. Noor
    11-05-2017
    https://doi.org/10.4081/gh.2017.510
    8934
    PDF: 2797
    APPENDIX: 6623
    HTML: 1144
  • 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
    3171
    PDF: 1003
    HTML: 897
  • 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
    4344
    PDF: 1799
    HTML: 1752
  • COVID-19, air quality and space monitoring

    Yves M. Tourre, Mireille Paulin, Gilles Dhonneur, David Attias, Atul Pathak
    06-04-2022
    https://doi.org/10.4081/gh.2022.1052
    1891
    PDF: 583
    HTML: 22
  • The dog and cat population on Maio Island, Cape Verde: characterisation and prediction based on household survey and remotely sensed imagery

    Ana Carolina Lopes Antunes, Els Ducheyne, Ward Bryssinckx, Sara Vieira, Manuel Malta, Yolanda Vaz, Telmo Nunes, Koen Mintiens
    04-11-2015
    https://doi.org/10.4081/gh.2015.386
    3213
    PDF: 1136
    HTML: 1224
  • 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
    2032
    PDF: 872
    Supplementary Materials: 150
    HTML: 56
  • Spatial pattern evolution of Aedes aegypti breeding sites in an Argentinean city without a dengue vector control programme

    Manuel O. Espinosa, Francisco Polop, Camilo H. Rotela, Marcelo Abril, Carlos M. Scavuzzo
    21-11-2016
    https://doi.org/10.4081/gh.2016.471
    4056
    PDF: 1570
    APPENDIX: 548
    HTML: 1540
  • Mapping of the environmental contamination of Toxoplasma gondii by georeferencing isolates from chickens in an endemic area in Southeast Rio de Janeiro State, Brazil

    Luciana Casartelli-Alves, Maria Regina Reis Amendoeira, Viviane Cardoso Boechat, Luiz Cláudio Ferreira, João Carlos Araujo Carreira, José Leonardo Nicolau, Eloiza Paula de Freitas Trindade, Julia Novaes de Barros Peixoto, Mônica de Avelar Figueiredo Mafra Magalhães, Raquel de Vasconcellos Carvalhaes de Oliveira, Tânia Maria Pacheco Schubach, Rodrigo Caldas Menezes
    18-05-2015
    https://doi.org/10.4081/gh.2015.311
    3397
    PDF: 1462
    HTML: 1508
  • Understanding the relationship between land use and land cover and malaria in Nepal

    Shreejana Bhattarai, Korine N. Kolivras, Kabita Ghimire, Yang Shao
    29-12-2020
    https://doi.org/10.4081/gh.2020.855
    2167
    PDF: 914
    HTML: 35
  • 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
    2136
    PDF: 1366
    HTML: 953
  • 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
    2735
    PDF: 1816
    HTML: 385
  • Validation of an interactive map assessing the potential spread of Galba truncatula as intermediate host of Fasciola hepatica in Switzerland

    Rhea Baggenstos, Tobias Dahinden, Paul R. Torgerson, Hansruedi Bär, Christina Rapsch, Gabriela Knubben-Schweizer
    31-05-2016
    https://doi.org/10.4081/gh.2016.418
    2638
    PDF: 1336
    HTML: 1006
  • Immunity to poliovirus in Afghanistan: A household sampling method for serological assessment based on geographical information systems

    Amalia Mendes, Ari Whiteman, Benjamin Nygren, Brian Kaplan, Imtiaz Hussain, Sajid Soofi, Maureen Martinez, Noha H. Farag
    29-11-2022
    https://doi.org/10.4081/gh.2022.1107
    1238
    PDF: 745
    HTML: 44
  • Heterogeneity in a communal cattle-farming system in a zone endemic for foot and mouth disease in South Africa

    Ockert Louis van Schalkwyk, Eva M. De Clercq, Claudia De Pus, Guy Hendrickx, Peter van den Bossche, Darryn L. Knobel
    31-05-2016
    https://doi.org/10.4081/gh.2016.338
    2639
    PDF: 1353
    HTML: 1452
  • 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
    1109
    PDF: 527
    HTML: 52
1 - 38 of 38 items

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vhealths

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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