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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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  • 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
    4029
    PDF: 1605
    HTML: 2541
  • 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
    3664
    PDF: 1634
    HTML: 1268
  • 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
    5114
    PDF: 2281
    HTML: 1979
  • 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
    3779
    PDF: 1297
    HTML: 1054
  • 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
    5767
    PDF: 2164
    Appendix: 284
    HTML: 228
  • 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
    3083
    PDF: 1355
    HTML: 1025
  • 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
    2716
    PDF: 1246
    HTML: 1673
  • 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
    4173
    PDF: 1047
    HTML: 253
  • Using climate information for improved health in Africa: relevance, constraints and opportunities

    Stephen J. Connor, Pietro Ceccato, Tufa Dinku, Judy Omumbo, Emily K. Grover-Kopec, Madeleine C. Thomson
    17-31
    01-11-2006
    https://doi.org/10.4081/gh.2006.278
    1250
    PDF: 744
  • 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
    3704
    PDF: 1266
    HTML: 1132
  • 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
    395
    PDF: 85
    HTML: 3
  • An update on distribution models for Rhipicephalus microplus in West Africa

    Eva M. De Clercq, Agustin Estrada-Peña, Safiou Adehan, Maxime Madder, Sophie O. Vanwambeke
    301-308
    01-11-2013
    https://doi.org/10.4081/gh.2013.75
    2462
    PDF: 1097
  • A GIS framework for the assessment of tick impact on human health in a changing climate

    Agustin Estrada-Peña, José M. Venzal
    157-168
    01-05-2007
    https://doi.org/10.4081/gh.2007.264
    1953
    PDF: 969
  • 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
    3959
    PDF: 1515
  • 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
    5872
    PDF: 2336
    HTML: 3064
  • Climate change and the potential global distribution of Aedes aegypti: spatial modelling using geographical information system and CLIMEX

    Hassan M. Khormi, Lalit Kumar
    405-415
    01-05-2014
    https://doi.org/10.4081/gh.2014.29
    8948
    PDF: 4402
  • Use of soil moisture active passive satellite data and WorldClim 2.0 data to predict the potential distribution of visceral leishmaniasis and its vector Lutzomyia longipalpis in Sao Paulo and Bahia states, Brazil

    Moara de Santana Martins Rodgers, Elivelton Fonseca, Prixia del Mar Nieto, John B. Malone, Jeffery C. Luvall, Jennifer C. McCarroll, Ryan Harry Avery, Maria Emilia Bavia, Raul Guimaraes, Xue Wen, Marta Mariana Nascimento Silva, Deborah D.M.T. Carneiro, Luciana Lobato Cardim
    08-06-2022
    https://doi.org/10.4081/gh.2022.1095
    1342
    PDF: 746
    HTML: 44
  • Modelling homogeneous regions of social vulnerability to malaria in Rwanda

    Jean Pierre Bizimana, Stefan Kienberger, Michael Hagenlocher, Emmanuel Twarabamenye
    31-03-2016
    https://doi.org/10.4081/gh.2016.404
    3563
    PDF: 1598
    HTML: 2222
  • Vector-borne diseases in a warmer world: Will they stay or will they go?

    Robert Bergquist, Anna-Sofie Stensgaard, Laura Rinaldi
    07-05-2018
    https://doi.org/10.4081/gh.2018.699
    2492
    PDF: 1106
    HTML: 211
  • Geospatial tools and data for health service delivery: opportunities and challenges across the disaster management cycle

    Fleur Hierink, Nima Yaghmaei, Mirjam I. Bakker, Nicolas Ray, Marc van den Homberg
    29-10-2024
    https://doi.org/10.4081/gh.2024.1284
    5847
    PDF: 517
    Supplementary Materials: 154
    HTML: 86
  • 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
    4016
    PDF: 2102
    HTML: 2150
  • 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
    2204
    PDF: 1183
    HTML: 136
  • 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
    1925
    PDF: 766
    HTML: 80
  • A climate distribution model of malaria transmission in Sudan

    Mohammed I. Musa, Shamarina Shohaimi, Nor R. Hashim, Isthrinayagy Krishnarajah
    27-36
    01-11-2012
    https://doi.org/10.4081/gh.2012.102
    2200
    PDF: 987
  • The use of geographic information system as a tool for schistosomiasis surveillance in the province of Davao del Norte, the Philippines

    Vicente Y. Belizario, John Paul Caesar R. delos Trinos, Berne Silawan, Chiqui M. De Veyra, Agapito Hornido, Hansel Amoguis, Dominic Basalo, Cherry Dema-ala, Irenn Mantilla, Rosele Layan
    06-11-2017
    https://doi.org/10.4081/gh.2017.540
    6944
    PDF: 1736
    HTML: 2084
  • Geographic distribution of canine heartworm (Dirofilaria immitis) infection in stray dogs of eastern Romania

    Lavinia Ciucă, Vincenzo Musella, Liviu D. Miron, Maria Paola Maurelli, Giuseppe Cringoli, Antonio Bosco, Laura Rinaldi
    21-11-2016
    https://doi.org/10.4081/gh.2016.499
    4146
    PDF: 1472
    HTML: 2237
  • 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
    1486
    PDF: 682
    Appendix: 100
    HTML: 30
  • 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
    2147
    PDF: 899
    HTML: 127
  • Dengue risk-mapping in an Amazonian locality in Colombia based on regression and multi-criteria analysis

    Maria Camila Lesmes , Alvaro Ávila-Díaz, Erika Santamaría, Carlos Andrés Morales , Horacio Cadena, Patricia Fuya, Nicolas Frutos, Ximena Porcasi, Catalina Marceló-Díaz
    04-06-2025
    https://doi.org/10.4081/gh.2025.1292
    491
    PDF: 167
    HTML: 1
  • 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
    2762
    PDF: 1147
    HTML: 186
  • Modelling the ecological niche of hookworm in Brazil based on climate

    Ntombi B. Mudenda, John B. Malone, Michael T. Kearney, Paula D. Mischler, Prixia del Mar Nieto, Jennifer C. McCarroll, Penelope Vounatsou
    S111-S123
    01-09-2012
    https://doi.org/10.4081/gh.2012.129
    1932
    PDF: 938
  • 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
    4173
    PDF: 1440
    HTML: 1215
  • Systematic errors in temperature estimates from MODIS data covering the western Palearctic and their impact on a parasite development model

    Jorge Alonso-Carné, Alberto García-Martín, Agustin Estrada-Peña
    1-12
    01-11-2013
    https://doi.org/10.4081/gh.2013.49
    1247
    PDF: 686
  • Malaria risk map for India based on climate, ecology and geographical modelling

    Soma Sarkar, Poonam Singh, Mercy Aparna L. Lingala, Preeti Verma, Ramesh C. Dhiman
    06-11-2019
    https://doi.org/10.4081/gh.2019.767
    6167
    PDF: 2041
    HTML: 11936
  • 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
    3659
    PDF: 1262
    APPENDIX: 476
    HTML: 1533
  • Diluting the dilution effect: a spatial Lyme model provides evidence for the importance of habitat fragmentation with regard to the risk of infection

    Agustín Estrada-Peña
    143-155
    01-05-2009
    https://doi.org/10.4081/gh.2009.217
    1777
    PDF: 871
  • 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
    2556
    PDF: 1121
    APPENDIX: 582
    HTML: 1441
  • Future Lyme disease risk in the south-eastern United States based on projected land cover

    Logan K. Stevens, Korine N. Kolivras, Yili Hong, Valerie A. Thomas, James B. Campbell, Stephen P. Prisley
    14-05-2019
    https://doi.org/10.4081/gh.2019.751
    1894
    PDF: 1116
    HTML: 73
  • Estimating malaria burden in Nigeria: a geostatistical modelling approach

    Nnadozie Onyiri
    04-11-2015
    https://doi.org/10.4081/gh.2015.306
    7017
    PDF: 2851
    HTML: 3246
  • 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
    3821
    PDF: 1496
    APPENDIX 1: 412
    APPENDIX 2: 400
    HTML: 1638
  • 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
    4124
    PDF: 1104
    HTML: 1196
  • Ecological niche modeling for visceral leishmaniasis in the state of Bahia, Brazil, using genetic algorithm for rule-set prediction and growing degree day-water budget analysis

    Prixia Nieto, John B. Malone, Maria E. Bavia
    115-126
    01-11-2006
    https://doi.org/10.4081/gh.2006.286
    1783
    PDF: 790
  • 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
    1614
    PDF: 765
    HTML: 158
  • 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
    3484
    PDF: 1393
    SUPPL. MATERIAL: 393
    HTML: 1078
  • 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
    2048
    PDF: 975
    APPENDIX: 288
    HTML: 104
  • Towards improved, cost-effective surveillance of Ixodes ricinus ticks and associated pathogens using species distribution modelling

    Manuela Signorini, Anna-Sofie Stensgaard, Michele Drigo, Giulia Simonato, Federica Marcer, Fabrizio Montarsi, Marco Martini, Rudi Cassini
    13-05-2019
    https://doi.org/10.4081/gh.2019.745
    1840
    PDF: 1081
    HTML: 42
  • 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
    3437
    PDF: 1421
    HTML: 1177
  • Spatial analysis for the epidemiological study of cardiovascular diseases: A systematic literature search

    Carlos Mena, Cesar Sepúlveda, Eduardo Fuentes, Yony Ormazábal, Iván Palomo
    07-05-2018
    https://doi.org/10.4081/gh.2018.587
    4833
    PDF: 2220
    HTML: 733
  • 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
    3878
    PDF: 1607
    HTML: 1230
  • A spatiotemporal analysis of the impact of the COVID-19 outbreak on noise pollution in Tehran, Iran

    Omid Reza Abbasi, Yasser Ebrahimian Ghajari , Ali Asghar Alesheikh
    29-11-2022
    https://doi.org/10.4081/gh.2022.1114
    706
    PDF: 611
    HTML: 9
  • Modelling geographical heterogeneity of diabetes prevalence and socio-economic and built environment determinants in Saudi City - Jeddah

    Abdulkader Murad, Fazlay Faruque, Ammar Naji, Alok Tiwari, Mansour Helmi, Ammar Dahlan
    16-05-2022
    https://doi.org/10.4081/gh.2022.1072
    1697
    PDF: 769
    HTML: 128
1 - 51 of 51 items

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Geospatial Health
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Vol. 20 No. 1 (2025)
Dengue risk-mapping in an Amazonian locality in Colombia based on regression and multi-criteria analysis
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Risk discrepancies in COVID-19-related community environments based on spatiotemporal monitoring
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Geospatial Health

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eISSN: 1970-7096

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