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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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  • Climate impact on malaria in northern Burkina Faso

    Yves M. Tourre, Cécile Vignolles, Christian Viel, Flore Mounier
    27-11-2017
    https://doi.org/10.4081/gh.2017.600
    2452
    PDF: 782
    HTML: 726
  • Spatial clustering of colorectal cancer in Malaysia

    Sharifah Saffinas Syed Soffian, Azmawati Mohammed Nawi, Rozita Hod, Khairul Nizam Abdul Maulud, Ahmad Tarmizi Mohd Azmi, Mohd Hazrin Hasim Hashim, Huan-Keat Chan, Muhammad Radzi Abu Hassan
    25-05-2023
    https://doi.org/10.4081/gh.2023.1158
    1304
    PDF: 564
    HTML: 6
  • Vulnerability to COVID-19 in Pernambuco, Brazil: A geospatial evaluation supported by multiple-criteria decision aid methodology

    Ciro José Jardim de Figueiredo, Caroline Maria de Miranda Mota, Amanda Gadelha Ferreira Rosa, Arthur Pimentel Gomes de Souza, Simone Maria da Silva Lima
    14-01-2022
    https://doi.org/10.4081/gh.2022.1000
    2328
    PDF: 373
    HTML: 43
  • 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
    3136
    PDF: 1179
    HTML: 850
  • Mapping and prediction of schistosomiasis in Nigeria using compiled survey data and Bayesian geospatial modelling

    Uwem F. Ekpo, Eveline Hürlimann, Nadine Schur, Akinola. S. Oluwole, Eniola M. Abe, Margaret A. Mafe, Obiageli J. Nebe, Sunday Isiyaku, Francisca Olamiju, Mukaila Kadiri, Temitope O.S. Poopola, Eka I. Braide, Yisa Saka, Chiedu F. Mafiana, Thomas K. Kristensen, Jürg Utzinger, Penelope Vounatsou
    355-366
    01-05-2013
    https://doi.org/10.4081/gh.2013.92
    5092
    PDF: 1825
  • Risk mapping of dengue in Selangor and Kuala Lumpur, Malaysia

    Hafiz Hassan, Shamarina Shohaimi, Nor R. Hashim
    21-25
    01-11-2012
    https://doi.org/10.4081/gh.2012.101
    6417
    PDF: 3234
  • Exploring the distribution of risk factors for drop-out from Ponseti treatment for clubfoot across Bangladesh using geospatial cluster analysis

    Manon Pigeolet, Tarinee Kucchal, Matthew T. Hey, Marcia C. Castro, Angela Margaret Evans, Tarsicio Uribe-Leitz, Mohommad Mamun Hossen Chowhury, Sabrina Juran
    25-05-2023
    https://doi.org/10.4081/gh.2023.1174
    883
    PDF: 447
    HTML: 7
  • Interpreting predictive maps of disease: highlighting the pitfalls of distribution models in epidemiology

    Nicola A. Wardrop, Matthew Geary, Patrick E. Osborne, Peter M. Atkinson
    237-246
    01-11-2014
    https://doi.org/10.4081/gh.2014.397
    2107
    PDF: 908
  • Mapping brucellosis risk in communities in the Republic of Armenia

    Thibaud Porphyre, Ronald Jackson, Carola Sauter-Louis, David Ward, Grigor Baghyan, Edik Stepanyan
    103-118
    01-11-2010
    https://doi.org/10.4081/gh.2010.191
    1769
    PDF: 971
  • 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
    3825
    PDF: 1504
    APPENDIX 1: 414
    APPENDIX 2: 401
    HTML: 1638
  • Accounting for autocorrelation in multi-drug resistant tuberculosis predictors using a set of parsimonious orthogonal eigenvectors aggregated in geographic space

    Benjamin G. Jacob, Fiorella Krapp, Mario Ponce, Eduardo Gotuzzo, Daniel A. Griffith, Robert J. Novak
    201-217
    01-05-2010
    https://doi.org/10.4081/gh.2010.201
    1566
    PDF: 895
  • Assessing spatial patterns of HIV prevalence and interventions in semi-urban settings in South Africa. Implications for spatially targeted interventions

    Lucy Chimoyi, Zvifadzo Matsena-Zingoni, Salome Charalambous, Edmore Marinda, Samuel Manda, Eustasius Musenge
    29-08-2022
    https://doi.org/10.4081/gh.2022.1084
    1904
    PDF: 461
    Supplementary 1: 83
    Supplementary 2: 228
    HTML: 145
  • Environmental modelling of visceral leishmaniasis by susceptibility-mapping using neural networks: a case study in north-western Iran

    Mohammadreza Rajabi, Ali Mansourian, Petter Pilesjö, Ahad Bazmani
    179-191
    01-11-2014
    https://doi.org/10.4081/gh.2014.15
    7086
    PDF: 1395
  • Mapping of zones potentially occupied by Aedes vexans and Culex poicilipes mosquitoes, the main vectors of Rift Valley fever in Senegal

    Yves M. Tourre, Jean-Pierre Lacaux, Cecile Vignolles, Jacques-André Ndione, Murielle Lafaye
    69-79
    01-11-2008
    https://doi.org/10.4081/gh.2008.233
    1279
    PDF: 741
  • 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
    3494
    PDF: 2003
    HTML: 1261
  • Intra-urban differences underlying leprosy spatial distribution in central Brazil: geospatial techniques as potential tools for surveillance

    Amanda G. Carvalho, Carolina Lorraine H. Dias, David J. Blok, Eliane Ignotti, João Gabriel G. Luz
    06-10-2023
    https://doi.org/10.4081/gh.2023.1227
    1121
    PDF: 513
    Supplementary Materials: 52
    HTML: 11
  • Place and health infrastructure in the Gulf Cooperation Council: A systematic scoping review of GIS applications in health

    Dari Alhuwail, Saad AlSharrah, Neil T Coffee, Faisal H Al-Refaei, Mark Daniel
    29-12-2020
    https://doi.org/10.4081/gh.2020.887
    2507
    PDF: 936
    HTML: 45
  • TerraSAR-X high-resolution radar remote sensing: an operational warning system for Rift Valley fever risk

    Cécile Vignolles, Yves M. Tourre, Oscar Mora, Laurent Imanache, Murielle Lafaye
    23-31
    01-11-2010
    https://doi.org/10.4081/gh.2010.184
    1285
    PDF: 784
  • 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: 905
    HTML: 127
  • Ecological study and risk mapping of leishmaniasis in an endemic area of Brazil based on a geographical information systems approach

    Alba Valéria Machado da Silva, Monica de Avelar Figueiredo Mafra Magalhães, Reginaldo Peçanha Brazil, João Carlos Araujo Carreira
    33-40
    01-11-2011
    https://doi.org/10.4081/gh.2011.155
    1591
    PDF: 882
  • Measuring high-density built environment for public health research: Uncertainty with respect to data, indicator design and spatial scale

    Guibo Sun, Chris Webster, Michael Y. Ni, Xiaohu Zhang
    07-05-2018
    https://doi.org/10.4081/gh.2018.653
    2229
    PDF: 1165
    HTML: 203
  • Satellite imagery technology in public health: analysis of site catchment areas for assessment of poliovirus circulation in Nigeria and Niger

    Marina Takane, Shizu Yabe, Yumiko Tateshita, Yusuke Kobayashi, Akihiko Hino, Kazuo Isono, Hiromasa Okayasu, Ousmane M. Diop, Takeo Tadono
    21-11-2016
    https://doi.org/10.4081/gh.2016.462
    2456
    PDF: 1388
    HTML: 1142
  • Moran’s I and Geary’s C: investigation of the effects of spatial weight matrices for assessing the distribution of infectious diseases

    Sarah Isnan, Ahmad Fikri bin Abdullah, Abdul Rashid Shariff, Iskandar Ishak, Sharifah Norkhadijah Syed Ismail, Maheshwara Rao Appanan
    07-04-2025
    https://doi.org/10.4081/gh.2025.1277
    903
    PDF: 261
    Supplementary materials: 104
    HTML: 90
  • 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
    1021
    PDF: 406
    HTML: 14
  • 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
    1971
    PDF: 1444
    APPENDIX: 532
    HTML: 1032
  • Investigating spatiotemporal patterns of the COVID-19 in São Paulo State, Brazil

    Enner Alcântara, José Mantovani, Luiz Rotta, Edward Park, Thanan Rodrigues, Fernando Campos Carvalho, Carlos Roberto Souza Filho
    26-11-2020
    https://doi.org/10.4081/gh.2020.925
    3564
    PDF: 1132
    HTML: 19
  • Spatial clusters of human and livestock anthrax define high-risk areas requiring intervention in Lao Cai Province, Vietnam 1991-2022

    Tan Luong, Minh Hieu Tran, Ba Uyen Pham, Morgan C. Metrailer, Van Khang Pham, Hoai Linh Nguyen, Thanh Long Pham, Thi Mai Hung Tran, Quang Thai Pham, Thi Thu Ha Hoang, Jason K. Blackburn
    15-04-2024
    https://doi.org/10.4081/gh.2024.1253
    2009
    PDF: 579
    Supplementary Materials: 92
    HTML: 52
  • Spatio-temporal dynamics of schistosomiasis in Rwanda between 2001 and 2012: impact of the national Neglected Tropical Disease control programme

    Elias Nyandwi, Tom Veldkamp, Frank Badu Osei, Sherif Amer
    08-05-2017
    https://doi.org/10.4081/gh.2017.514
    3212
    PDF: 1072
    HTML: 1064
  • 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
    5848
    PDF: 521
    Supplementary Materials: 155
    HTML: 86
  • 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
    404
    PDF: 91
    HTML: 4
  • 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
    1182
    PDF: 384
    HTML: 25
  • Understanding needs and barriers to using geospatial tools for public health policymaking in China

    Dohyeong Kim, Yingyuan Zhang, Chang Kil Lee
    07-05-2018
    https://doi.org/10.4081/gh.2018.594
    1685
    PDF: 813
    HTML: 290
  • 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
    3706
    PDF: 1272
    HTML: 1132
  • 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
    4233
    PDF: 1636
    Appendix: 487
    HTML: 1576
  • 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
    2969
    PDF: 983
    HTML: 68
  • Does the Geohealth domain require a body of knowledge?

    Ellen-Wien Augustijn-Beckers, Sherif Amer, Rob Lemmens, Robert Bergquist
    29-11-2022
    https://doi.org/10.4081/gh.2022.1171
    1557
    PDF: 559
    HTML: 22
  • 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
    3632
    PDF: 1320
    HTML: 248
  • Exploring geomasking methods for geoprivacy: a pilot study in an environment with built features

    Alok Tiwari, Sohail Ahmad, Emad Qurunflah, Mansour Helmi, Ayad Almaimani, Alaa Alaidroos, Majed Mustafa Hallawani
    17-10-2023
    https://doi.org/10.4081/gh.2023.1205
    915
    PDF: 479
    HTML: 139
  • Spatial heterogeneity in relationship between district patterns of HIV incidence and covariates in Zimbabwe: a multi-scale geographically weighted regression analysis

    Rutendo Birri Makota, Eustasius Musenge
    27-11-2023
    https://doi.org/10.4081/gh.2023.1207
    1256
    PDF: 562
    HTML: 42
  • 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
    6951
    PDF: 1743
    HTML: 2084
  • Identification and mapping of objects targeted for surveillance and their role as risk factors for brucellosis in livestock farms in Kazakhstan

    Aizada A. Mukhanbetkaliyeva, Ablaikhan S. Kadyrov, Yersyn Y. Mukhanbetkaliyev, Zhanat S. Adilbekov, Assylbek A. Zhanabayev, Assem Z. Abenova, Fedor I. Korennoy, Sarsenbay K. Abdrakhmanov
    08-11-2024
    https://doi.org/10.4081/gh.2024.1335
    1015
    PDF: 315
    HTML: 45
  • Optimizing allocation of colorectal cancer screening hospitals in Shanghai: a geospatial analysis

    Jiaqi Huang, Yichen Chen, Gu Liu, Wei Tu, Robert Bergquist, Michael P. Ward, Jun Zhang, Shuang Xiao, Jie Hong, Zheng Zhao, Xiaopan Li, Zhijie Zhang
    03-07-2023
    https://doi.org/10.4081/gh.2023.1152
    1571
    PDF: 801
    Supplementary Materials: 79
    HTML: 19
  • 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
    3950
    PDF: 1768
  • Childhood stunting in Indonesia: assessing the performance of Bayesian spatial conditional autoregressive models

    Aswi Aswi, Septian Rahardiantoro, Anang Kurnia, Bagus Sartono , Dian Handayani, Nurwan Nurwan, Susanna Cramb
    03-10-2024
    https://doi.org/10.4081/gh.2024.1321
    1216
    PDF: 425
    HTML: 83
  • Shrinking risk profiles after deworming of children in Port Elizabeth, South Africa, with special reference to Ascaris lumbricoides and Trichuris trichiura

    Ivan Müller, Stefanie Gall, Lindsey Beyleveld, Markus Gerber, Uwe Pühse, Rosa du Randt, Peter Steinmann, Leyli Zondie, Cheryl Walter, Jürg Utzinger
    27-11-2017
    https://doi.org/10.4081/gh.2017.601
    2997
    PDF: 668
    VIDEO: 0
    HTML: 669
  • Understanding COVID-19: comparison of spatio-temporal analysis methods used to study epidemic spread patterns in the United States

    Chunhui Liu, Xiaodi Su, Zhaoxuan Dong, Xingyu Liu, Chunxia Qiu
    25-05-2023
    https://doi.org/10.4081/gh.2023.1200
    1008
    PDF: 523
    HTML: 49
  • 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
    5925
    PDF: 2093
    Appendix: 546
    HTML: 3239
    Appendix: 196
  • 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
    2312
    PDF: 761
  • First year with COVID-19: Assessment and prospects

    Robert Bergquist, Behzad Kiani, Samuel Manda
    26-11-2020
    https://doi.org/10.4081/gh.2020.953
    2691
    PDF: 665
    HTML: 5
  • 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
    4174
    PDF: 1049
    HTML: 253
  • 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
    2083
    PDF: 928
    HTML: 1002
  • Modelling spatial concordance between Rocky Mountain spotted fever disease incidence and habitat probability of its vector Dermacentor variabilis (American dog tick)

    Samuel F. Atkinson, Sahotra Sarkar, Aldo Aviña, Jim A. Schuermann, Phillip Williamson
    91-100
    01-11-2012
    https://doi.org/10.4081/gh.2012.108
    1777
    PDF: 1045
  • Post-traumatic stress in people from the interior drylands of the Maule region, Chile in the context of climate change

    Cristian Cáceres, Marcelo Leiva-Bianchi, Yony Ormazábal, Carlos Mena, Juan Carlos Cantillana
    18-05-2022
    https://doi.org/10.4081/gh.2022.1045
    1743
    PDF: 774
    HTML: 45
  • 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
    10420
    PDF: 2478
  • A spatial decision support system for guiding focal indoor residual spraying interventions in a malaria elimination zone

    Gerard C. Kelly, Chang Moh Seng, Wesley Donald, George Taleo, Johnny Nausien, Willie Batarii, Harry Iata, Marcel Tanner, Lasse S. Vestergaard, Archie C. A. Clements
    21-31
    01-11-2011
    https://doi.org/10.4081/gh.2011.154
    2956
    PDF: 1059
  • Intestinal schistosomiasis and soil-transmitted helminthiasis in Ugandan schoolchildren: a rapid mapping assessment

    Claire J. Standley, Moses Adriko, Moses Alinaitwe, Francis Kazibwe, Narcis B. Kabatereine, J. Russell Stothard
    39-53
    01-11-2009
    https://doi.org/10.4081/gh.2009.209
    2705
    PDF: 1115
  • Spatio-temporal analysis of leptospirosis in Brazil and its relationship with flooding

    Alice Nardoni Marteli, Laurindo Antonio Guasselli , Décio Diament , Gabriele Ozório Wink , Vitor Vieira Vasconcelos
    29-11-2022
    https://doi.org/10.4081/gh.2022.1128
    2049
    PDF: 1301
    HTML: 178
  • Spatio-temporal outbreaks of campylobacteriosis and the role of fresh-milk vending machines in the Czech Republic: A methodological study

    Lukáš Marek, Vít Pászto
    08-11-2017
    https://doi.org/10.4081/gh.2017.572
    2531
    PDF: 664
    HTML: 832
  • 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
    3498
    PDF: 1821
  • 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
    2272
    PDF: 454
    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
    2888
    PDF: 779
    HTML: 863
  • Spatial risk profiling of Schistosoma japonicum in Eryuan county, Yunnan province, China

    Peter Steinmann, Xiao-Nong Zhou, Barbara Matthys, Yuan-Lin Li, Hong-Jun Li, Shao-Rong Chen, Zhong Yang, Weng Fan, Tie-Wu Jia, Lan-Hua Li, Penelope Vounatsou, Jürg Utzinger
    59-73
    01-11-2007
    https://doi.org/10.4081/gh.2007.255
    2370
    PDF: 770
  • Correlation analysis of air pollutant index levels and dengue cases across five different zones in Selangor, Malaysia

    Loshini Thiruchelvam, Sarat C. Dass, Rafdzah Zaki, Abqariyah Yahya, Vijanth S. Asirvadam
    07-05-2018
    https://doi.org/10.4081/gh.2018.613
    2019
    PDF: 1102
    HTML: 311
  • Susceptibility mapping of visceral leishmaniasis based on fuzzy modelling and group decision-making methods

    Mohamadreza Rajabi, Ali Mansourian, Ahad Bazmani
    37-50
    01-11-2012
    https://doi.org/10.4081/gh.2012.103
    1552
    PDF: 878
  • Geospatial Health: achievements, innovations, priorities

    Sherif Amer, Ellen-Wien Augustijn, Carmen Anthonj, Nils Tjaden, Justine Blanford, Marc van den Homberg, Laura Rinaldi, Thomas van Rompay, Raúl Zurita Milla
    25-10-2024
    https://doi.org/10.4081/gh.2024.1355
    1504
    PDF: 477
    HTML: 95
  • Simulation of the spatial distribution of urban populations based on first-aid call data

    Yinan Zhou, Qin Zhong Zhu, Li Luo
    29-12-2020
    https://doi.org/10.4081/gh.2020.768
    1366
    PDF: 498
    HTML: 13
  • Spatial analysis of bluetongue cases and vaccination of Swiss cattle in 2008 and 2009

    Katriina J. E. Willgert, Birgit Schroedle, Heinzpeter Schwermer
    227-237
    01-05-2011
    https://doi.org/10.4081/gh.2011.175
    1218
    PDF: 842
  • Evaluating web-based static, animated and interactive maps for injury prevention

    Jonathan Cinnamon, Claus Rinner, Michael D. Cusimano, Sean Marshall, Tsegaye Bekele, Tony Hernandez, Richard H. Glazier, Mary L. Chipman
    3-16
    01-11-2009
    https://doi.org/10.4081/gh.2009.206
    2604
    PDF: 1133
  • A Bayesian kriging model for estimating residential exposure to air pollution of children living in a high-risk area in Italy

    Ana M. Vicedo-Cabrera, Annibale Biggeri, Laura Grisotto, Fabio Barbone, Dolores Catelan
    87-95
    01-11-2013
    https://doi.org/10.4081/gh.2013.57
    2282
    PDF: 1159
  • 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
    2279
    PDF: 961
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Geospatial Health
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