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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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  • 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
    4031
    PDF: 2119
    HTML: 2152
  • 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
    5885
    PDF: 2362
    HTML: 3068
  • Spatial epidemiology of cancer: a review of data sources, methods and risk factors

    Rita Roquette, Marco Painho, Baltazar Nunes
    08-05-2017
    https://doi.org/10.4081/gh.2017.504
    7574
    PDF: 3074
    HTML: 2648
  • Estimating small area health-related characteristics of populations: a methodological review

    Azizur Rahman
    08-05-2017
    https://doi.org/10.4081/gh.2017.495
    3955
    PDF: 1700
    HTML: 1345
  • 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
    3362
    PDF: 1640
    HTML: 2222
  • 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
    4846
    PDF: 2238
    HTML: 736
  • The future of spatial epidemiology in the AI era: enhancing machine learning approaches with explicit spatial structure

    Nima Kianfar, Benn Sartorius, Colleen L. Lau, Robert Bergquist, Behzad Kiani
    04-06-2025
    https://doi.org/10.4081/gh.2025.1386
    727
    PDF: 166
    HTML: 0
  • Making the most of spatial information in health: a tutorial in Bayesian disease mapping for areal data

    Su Yun Kang, Susanna M. Cramb, Nicole M. White, Stephen J. Ball, Kerrie L. Mengersen
    31-05-2016
    https://doi.org/10.4081/gh.2016.428
    6802
    PDF: 2294
    APPENDIX: 1084
    HTML: 5109
  • 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
    2107
    PDF: 1323
    HTML: 243
  • 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
    3444
    PDF: 1432
    HTML: 1178
  • Spatial association and modelling of under-5 mortality in Thailand, 2020

    Suparerk Suerungruang, Kittipong Sornlorm, Wongsa Laohasiriwong, Roshan Kumar Mahato
    31-08-2023
    https://doi.org/10.4081/gh.2023.1220
    1213
    PDF: 690
    HTML: 41
  • Spatial analysis of antimicrobial resistance in the environment. A systematic review

    Patrick Spets, Karin Ebert, Patrik Dinnétz
    25-05-2023
    https://doi.org/10.4081/gh.2023.1168
    2270
    PDF: 738
    Supplementary Materials: 167
    HTML: 58
  • Spatiotemporal evolution characteristics and attribution analysis of hepatitis A in mainland China

    Xiaodi Su, Chunxia Qiu, Chunhui Liu
    03-12-2024
    https://doi.org/10.4081/gh.2024.1323
    986
    PDF: 259
    HTML: 4
  • 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
    1653
    PDF: 310
    HTML: 72
  • 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
    2394
    PDF: 1000
    HTML: 1097
  • 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
    1122
    PDF: 520
    Supplementary Materials: 56
    HTML: 11
  • Spatial heterogeneity of quality, use and spending on medicare for the elderly

    Felipa de Mello-Sampayo
    07-05-2018
    https://doi.org/10.4081/gh.2018.655
    1888
    PDF: 745
    HTML: 106
  • Evaluating the utility of companion animal tick surveillance practices for monitoring spread and occurrence of human Lyme disease in West Virginia, 2014-2016

    Brian Hendricks, Miguella Mark-Carew, Jamison Conley
    13-11-2017
    https://doi.org/10.4081/gh.2017.582
    2400
    PDF: 726
    HTML: 742
  • 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
    1408
    PDF: 816
    Appendix: 83
    HTML: 68
  • Performance of a negative binomial-GLM in spatial scan statistic: a case study of low-birth weights in Pakistan

    Sami Ullah, Mushtaq Ahmad Khan Barakzai, Tianfa Xie
    03-09-2024
    https://doi.org/10.4081/gh.2024.1313
    1037
    PDF: 424
    HTML: 94
  • 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
    3259
    PDF: 1548
    HTML: 611
  • Spatial association between socio-economic health service factors and sepsis mortality in Thailand

    Juree Sansuk, Wongsa Laohasiriwong, Kittipong Sornlorm
    13-09-2023
    https://doi.org/10.4081/gh.2023.1215
    1308
    PDF: 492
    HTML: 30
  • Spatial and temporal clustering analysis of pulmonary tuberculosis and its associated risk factors in southwest China

    Jianjiao Wang, Xiaoning Liu, Zhengchao Jing, Jiawai Yang
    25-05-2023
    https://doi.org/10.4081/gh.2023.1169
    817
    PDF: 577
    HTML: 19
  • 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
    4184
    PDF: 1452
    HTML: 1215
  • 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
    2129
    PDF: 1516
    HTML: 1139
  • Spatial autocorrelation and heterogenicity of demographic and healthcare factors in the five waves of COVID-19 epidemic in Thailand

    Ei Sandar U, Wongsa Laohasiriwong, Kittipong Sornlorm
    25-05-2023
    https://doi.org/10.4081/gh.2023.1183
    1150
    PDF: 649
    Supplementary Materials: 89
    HTML: 22
  • 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
    2193
    PDF: 1201
    HTML: 2011
  • Bayesian spatial modelling of contraception effects on fertility in Mexican municipalities in 2020

    Gerardo Núñez Medina
    17-05-2022
    https://doi.org/10.4081/gh.2022.1080
    1015
    PDF: 502
    HTML: 105
  • Assessing effects of structural zeros on models of canine cancer incidence: a case study of the Swiss Canine Cancer Registry

    Gianluca Boo, Stefan Leyk, Sara Irina Fabrikant, Andreas Pospischil, Ramona Graf
    11-05-2017
    https://doi.org/10.4081/gh.2017.539
    3263
    PDF: 1057
    HTML: 816
  • 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
    1222
    PDF: 438
    HTML: 84
  • 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
    3274
    PDF: 1170
    HTML: 1139
  • Spatial association between COVID-19 incidence rate and nighttime light index

    Amornrat Luenam, Nattapong Puttanapong
    18-03-2022
    https://doi.org/10.4081/gh.2022.1066
    1631
    PDF: 493
    HTML: 82
  • 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
    3492
    PDF: 1408
    SUPPL. MATERIAL: 396
    HTML: 1078
  • 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
    2216
    PDF: 1202
    HTML: 136
  • Spatial dispersal of Aedes albopictus mosquitoes captured by the modified sticky ovitrap in Selangor, Malaysia

    Muhammad Aidil Roslan, Romano Ngui, Muhammad Fathi Marzuki, Indra Vythilingam, Aziz Shafie, Sabri Musa, Wan Yusoff Wan Sulaiman
    11-05-2022
    https://doi.org/10.4081/gh.2022.1025
    1472
    PDF: 621
    Annex I-VI: 106
    HTML: 58
  • Spatial association between the incidence rate of COVID-19 and poverty in the São Paulo municipality, Brazil

    Marcos César Ferreira
    26-11-2020
    https://doi.org/10.4081/gh.2020.921
    7079
    PDF: 1291
    Appendix: 111
    HTML: 22
  • 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
    4133
    PDF: 1114
    HTML: 1197
  • A geographical information system model to define COVID-19 problem areas with an analysis in the socio-economic context at the regional scale in the North of Spain

    Olga De Cos, Valentín Castillo-Salcines, David Cantarero-Prieto
    18-03-2022
    https://doi.org/10.4081/gh.2022.1067
    1449
    PDF: 426
    HTML: 34
  • 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
    1472
    PDF: 736
    HTML: 55
  • Socio-economic and environmental factors are related to acute exacerbation of chronic obstructive pulmonary disease incidence in Thailand

    Phuricha Phacharathonphakul, Kittipong Sornlorm
    29-11-2024
    https://doi.org/10.4081/gh.2024.1300
    1410
    PDF: 338
    HTML: 27
  • 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
    1934
    PDF: 777
    HTML: 80
  • 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
    2063
    PDF: 1308
    HTML: 179
  • MALAREO: a user-driven project

    Michael T. Gebreslasie, Ides Bauwens
    04-11-2015
    https://doi.org/10.4081/gh.2015.329
    2629
    PDF: 1049
    HTML: 973
  • Spatial associations between chronic kidney disease and socio-economic factors in Thailand

    Juree Sansuk, Kittipong Sornlorm
    30-01-2024
    https://doi.org/10.4081/gh.2024.1246
    5985
    PDF: 769
    HTML: 892
  • 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
    1972
    PDF: 1451
    APPENDIX: 534
    HTML: 1032
  • Spatiotemporal analysis of the relationship between socioeconomic factors and stroke in the Portuguese mainland population under 65 years old

    André Oliveira, Antònio J.R. Cabral, Jorge M. Mendes, Maria R.O. Martins, Pedro Cabral
    04-11-2015
    https://doi.org/10.4081/gh.2015.365
    3029
    PDF: 1287
    HTML: 1218
  • Spatiotemporal analysis of hand, foot and mouth disease data using time-lag geographically-weighted regression

    Zhi-Min Hong, Hu-Hu Wang, Yan-Juan Wang, Wen-Rui Wang
    29-12-2020
    https://doi.org/10.4081/gh.2020.849
    1696
    PDF: 742
    HTML: 25
  • Access to the COVID-19 services during the pandemic - a scoping review

    Ahmad Raeesi, Behzad Kiani, Azam Hesami, Ladan Goshayeshi, Neda Firouraghi, Shahab MohammadEbrahimi, Soheil Hashtarkhani
    28-03-2022
    https://doi.org/10.4081/gh.2022.1079
    2045
    PDF: 538
    Appendix: 222
    HTML: 99
  • Fine scale mapping of malaria infection clusters by using routinely collected health facility data in urban Dar es Salaam, Tanzania

    Yeromin P. Mlacha, Prosper P. Chaki, Alpha D. Malishee, Victoria M. Mwakalinga, Nicodem J. Govella, Alex J. Limwagu, John M. Paliga, Daniel F. Msellemu, Zawadi D. Mageni, Dianne J. Terlouw, Gerry F. Killeen, Stefan Dongus
    11-05-2017
    https://doi.org/10.4081/gh.2017.494
    4304
    PDF: 1454
    HTML: 1287
  • 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
    3712
    PDF: 1288
    HTML: 1132
  • Neonatal mortality in East Africa and West Africa: a geographic analysis of district-level demographic and health survey data

    Sue C. Grady, April N. Frake, Qiong Zhang, Matlhogonolo Bene, Demetrice R. Jordan, Joshua Vertalka, Thania C. Dossantos, Ameen Kadhim, Judith Namanya, Lisa-Marie Pierre, Yi Fan, Peiling Zhou, Fatoumata B. Barry, Libbey Kutch
    26-05-2017
    https://doi.org/10.4081/gh.2017.501
    8759
    PDF: 4096
    HTML: 2168
  • 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
    3565
    PDF: 1615
    HTML: 2222
  • 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
    2236
    PDF: 1175
    HTML: 204
  • 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
    2978
    PDF: 989
    HTML: 68
  • Associating socio-economic factors with access to public healthcare facilities using geographically weighted regression in the city of Tshwane, South Africa

    Thabiso Moeti, Tholang Mokhele, Solomon Tesfamichael
    20-11-2024
    https://doi.org/10.4081/gh.2024.1288
    1313
    PDF: 393
    HTML: 57
  • 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
    1260
    PDF: 571
    HTML: 42
  • Spatial analysis of the AIDS mortality rate among young people in a province of the Brazilian Amazon: An ecological study

    Sara Melissa Lago Sousa, Andrey Oeiras Pedroso , Iaron Leal Seabra , Glenda Roberta Oliveira Naiff Ferreira, Aline Maria Pereira Cruz Ramos , Sandra Helena Isse Polaro, Eliã Pinheiro Botelho
    29-11-2022
    https://doi.org/10.4081/gh.2022.1102
    787
    PDF: 673
    HTML: 14
  • Access to dialysis services: A systematic mapping review based on geographical information systems

    Benyamin Hoseini, Nasser Bagheri, Behzad Kiani, Amirabbas Azizi, Hamed Tabesh, Mahmood Tara
    07-05-2018
    https://doi.org/10.4081/gh.2018.577
    3534
    PDF: 1326
    HTML: 204
  • Geographically weighted regression for modelling the accessibility to the public hospital network in Concepción Metropolitan Area, Chile

    Marcela Martínez Bascuñán, Carolina Rojas Quezada
    22-11-2016
    https://doi.org/10.4081/gh.2016.451
    3556
    PDF: 1585
    HTML: 2153
  • 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
    1694
    PDF: 816
    HTML: 290
  • 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
    2847
    PDF: 1142
    HTML: 1072
  • Association of socioeconomic indicators with COVID-19 mortality in Brazil: a population-based ecological study

    João Batista Cavalcante Filho, Marco Aurélio de Oliveira Góes, Damião da Conceição Araújo, Marcus Valerius da Silva Peixoto, Marco Antônio Prado Nunes
    13-07-2023
    https://doi.org/10.4081/gh.2023.1206
    1616
    PDF: 680
    Supplementary Materials: 67
    HTML: 33
  • Spatial multilevel modelling male partners’ influence on women’s modern contraceptive use: a study in Angola and Zambia

    Kabeya Clement Mulamba
    12-05-2025
    https://doi.org/10.4081/gh.2025.1340
    769
    PDF: 144
    HTML: 46
  • Spatial analysis of stunting determinants in 514 Indonesian districts/cities: Implications for intervention and setting of priority

    Tris Eryando, Tiopan Sipahutar, Meiwita Paulina Budhiharsana, Kemal N. Siregar, Muhammad Nur Aidi, Dr. Minarto, Diah Mulyawati Utari, Martya Rahmaniati, Harimat Hendarwan
    17-05-2022
    https://doi.org/10.4081/gh.2022.1055
    3023
    PDF: 1764
    HTML: 88
  • 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
    1909
    PDF: 465
    Supplementary 1: 87
    Supplementary 2: 231
    HTML: 145
  • 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
    2891
    PDF: 785
    HTML: 863
  • Nigeria’s malaria prevalence in 2015: a geospatial, exploratory district-level approach

    Mina Whyte, Kennedy Mwai Wambui, Eustasius Musenge
    25-11-2024
    https://doi.org/10.4081/gh.2024.1243
    1002
    PDF: 315
    HTML: 63
  • Child mortality inequalities across Rwanda districts: a geoadditive continuous-time survival analysis

    François Niragire, Thomas N.O. Achia, Alexandre Lyambabaje, Joseph Ntaganira
    11-05-2017
    https://doi.org/10.4081/gh.2017.450
    2895
    PDF: 1465
    HTML: 1380
  • Spatial analysis of the relationship between out-of-pocket expenditure and socioeconomic status in South Korea

    Young-Gyu Kwon, Man-Kyu Choi
    25-05-2023
    https://doi.org/10.4081/gh.2023.1175
    1111
    PDF: 569
    HTML: 27
  • Assessing spatial inequalities in accessing community pharmacies: a mixed geographically weighted approach

    Alexander Domnich, Lucia Arata, Daniela Amicizia, Alessio Signori, Roberto Gasparini, Donatella Panatto
    16-11-2016
    https://doi.org/10.4081/gh.2016.457
    3041
    PDF: 1417
    HTML: 1304
  • Comparison of single- and multi-scale models for the prediction of the Culicoides biting midge distribution in Germany

    Renke Lühken, Jörn Martin Gethmann, Petra Kranz, Pia Steffenhagen, Christoph Staubach, Franz J. Conraths, Ellen Kiel
    31-05-2016
    https://doi.org/10.4081/gh.2016.405
    3099
    PDF: 967
    HTML: 1457
  • Measuring geographic access to emergency obstetric care: a comparison of travel time estimates modelled using Google Maps Directions API and AccessMod in three Nigerian conurbations

    Peter M. Macharia, Kerry L.M. Wong, Lenka Beňová, Jia Wang, Prestige Tatenda Makanga, Nicolas Ray, Aduragbemi Banke-Thomas
    27-05-2024
    https://doi.org/10.4081/gh.2024.1266
    2087
    PDF: 643
    Supplementary Materials: 93
    HTML: 183
  • Estimating malaria burden in Nigeria: a geostatistical modelling approach

    Nnadozie Onyiri
    04-11-2015
    https://doi.org/10.4081/gh.2015.306
    7025
    PDF: 2873
    HTML: 3246
  • 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
    2541
    PDF: 670
    HTML: 832
  • 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
    1027
    PDF: 409
    HTML: 14
  • Public domain small-area cancer incidence data for New York State, 2005-2009

    Francis P. Boscoe, Thomas O. Talbot, Martin Kulldorff
    18-04-2016
    https://doi.org/10.4081/gh.2016.304
    1941
    PDF: 1063
    HTML: 858
  • Physical inactivity displays a mediator role in the association of diabetes and poverty: A spatiotemporal analysis

    Lung-Chang Chien, Xiao Li, Amanda Staudt
    03-11-2017
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Geospatial Health
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Geospatial Health

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