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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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  • Spatial inequalities in cancer with special reference to lung cancer across Europe and their implications for environmental health policy

    Dimitrios Ntokos
    14-04-2026
    https://doi.org/10.4081/gh.2026.1453
    647
    PDF: 265
    Supplementary materials: 34
    HTML: 11
  • Oncologic burden in Ukraine: regional inequalities and environmental risk factors

    Anatolii Kornus, Olesia Kornus, Yurii Liannoi, Olena Danylchenko, Serhii Lutsenko
    14-11-2025
    https://doi.org/10.4081/gh.2025.1418
    704
    PDF: 256
    HTML: 12
  • Cancer incidence in Priolo, Sicily: a spatial approach for estimation of industrial air pollution impact

    Lucia Fazzo, Mario Carere, Francesco Tisano, Caterina Bruno, Achille Cernigliaro, Maria Rita Cicero, Pietro Comba, Maria Luisa Contrino, Marco De Santis, Fabrizio Falleni, Vincenzo Ingallinella, Anselmo Madeddu, Ida Marcello, Carlo Regalbuto, Giovanna Sciacca, Maria Eleonora Soggiu, Amerigo Zona
    18-04-2016
    https://doi.org/10.4081/gh.2016.320
    5205
    PDF: 2084
    HTML: 2084
  • Effects of geographical factors on reference values of the thyroid stimulating hormone in healthy adults in China and its clinical significance

    Xinrui Pang, Miao Ge, Congxia Wang, Jinwei He
    06-05-2022
    https://doi.org/10.4081/gh.2022.1030
    1318
    PDF: 654
    HTML: 296
  • 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
    3580
    PDF: 1280
    HTML: 74
  • Nonlinear analysis of factors influencing public health in China based on machine learning

    Dehong Sun, Hui Wang
    16-03-2026
    https://doi.org/10.4081/gh.2026.1450
    244
    PDF: 200
    HTML: 11
  • 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
    8556
    PDF: 3568
    HTML: 2715
  • 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
    3945
    PDF: 2248
    HTML: 1272
  • 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
    6525
    PDF: 2674
    HTML: 3135
  • 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
    4440
    PDF: 2339
    HTML: 2209
  • The influence of socioeconomic deprivation, access to healthcare and physical environment on old-age survival in Portugal

    Ana Isabel Ribeiro, Elias Teixeira Krainski, Marilia Sá Carvalho, Maria de Fátima de Pina
    07-11-2017
    https://doi.org/10.4081/gh.2017.581
    3780
    PDF: 1399
    HTML: 879
  • One health review of recent Salmonella dynamics and human health outcomes in the United States

    Geoffrey Kangogo, Lavanya Sankaran, Mitesh Rajpurohit, Kate E. Trout
    11-12-2025
    https://doi.org/10.4081/gh.2025.1416
    871
    PDF: 533
    HTML: 75
  • Asthmatic symptoms and air pollution: a panel study on children living in the Italian Po Valley

    Andrea Ranzi, Anna Freni Sterrantino, Francesco Forastiere, Claudio Sartini, Giovanna Casale, Rino Cavallini, Aldo De Togni, Lorenza Gallo, Paolo Lauriola
    26-11-2015
    https://doi.org/10.4081/gh.2015.366
    3496
    PDF: 1602
    HTML: 1252
  • 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
    4696
    PDF: 1686
    HTML: 1223
  • 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
    3394
    PDF: 1745
    HTML: 205
  • Mapping, cluster detection and evaluation of risk factors of ovine toxoplasmosis in Southern Italy

    Roberto Condoleo, Vincenzo Musella, Maria Paola Maurelli, Antonio Bosco, Giuseppe Cringoli, Laura Rinaldi
    31-05-2016
    https://doi.org/10.4081/gh.2016.432
    2700
    PDF: 1289
    HTML: 1236
  • 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
    3924
    PDF: 1752
    HTML: 1213
  • 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
    3488
    PDF: 1513
    HTML: 1517
  • 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
    1372
    PDF: 605
    HTML: 27
  • 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
    1984
    PDF: 1012
    HTML: 180
  • 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
    4535
    PDF: 1899
    HTML: 1245
  • 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
    4545
    PDF: 1856
    HTML: 1760
  • 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
    4022
    PDF: 740
    HTML: 100
  • Factors associated with the spatial distribution of leprosy: a systematic review of the published literature

    Nathan Guilherme de Oliveira, Bruna Eduarda Bortolomai, Andréa Cristina Bogado, Ida Maria Foschiani Dias-Baptista
    18-09-2025
    https://doi.org/10.4081/gh.2025.1394
    1041
    PDF: 462
    Supplementary materials: 88
    HTML: 19
  • 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
    4067
    PDF: 1566
    HTML: 1148
  • Healthcare-seeking behavior and spatial variation of internal migrants with chronic diseases: a nationwide empirical study in China

    Dan Li, Dawei Gao, Masaaki Yamada, Chuangbin Chen, Liuchun Xiang, Haisong Nie
    28-05-2024
    https://doi.org/10.4081/gh.2024.1255
    2906
    PDF: 808
    HTML: 106
  • 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
    1826
    PDF: 977
    Appendix: 146
    HTML: 83
  • 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
    1293
    PDF: 671
    HTML: 20
  • Aspects of public health development in China’s western region

    Jisha Zhang, Jing Luo, Guolei Chen, Chunyan Zhang, Lianlian Li, Taijia Ma
    15-04-2024
    https://doi.org/10.4081/gh.2024.1252
    2297
    PDF: 636
    HTML: 73
  • 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
    5538
    PDF: 2729
    HTML: 809
  • 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
    3206
    PDF: 1507
    HTML: 200
  • Spatial association of socio-demographic, environmental factors and prevalence of diabetes mellitus in middle-aged and elderly people in Thailand

    Suparat Tappo, Wongsa Laohasiriwong, Nattapong Puttanapong
    29-11-2022
    https://doi.org/10.4081/gh.2022.1091
    2012
    PDF: 1164
    Appendix: 167
    HTML: 220
  • Advanced analysis of depression tendency in China: an investigation of environmental and social factors based on geographical and temporal weighted regression

    Yanhong Xu, Zhilin Hong, Huimei Lin, Xiaofeng Huang
    21-07-2025
    https://doi.org/10.4081/gh.2025.1385
    1007
    PDF: 335
    HTML: 39
  • Bivariate spatiotemporal disease mapping of cancer of the breast and cervix uteri among Iranian women

    Mehdi Raei, Volker Johann Schmid, Behzad Mahaki
    08-05-2018
    https://doi.org/10.4081/gh.2018.645
    2584
    PDF: 1207
    HTML: 146
  • 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
    2303
    PDF: 989
    HTML: 98
  • 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
    3018
    PDF: 2173
    HTML: 433
  • Socioeconomic determinants of pandemics: a spatial methodological approach with evidence from COVID-19 in Nice, France

    Laurent Bailly, Rania Belgaied, Thomas Jobert, Benjamin Montmartin
    15-09-2025
    https://doi.org/10.4081/gh.2025.1383
    851
    PDF: 362
    Supplementary materials: 86
    HTML: 27
  • 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
    2439
    PDF: 1090
    HTML: 190
  • 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
    1710
    PDF: 978
    HTML: 54
  • Environmental change and Rift Valley fever in eastern Africa: projecting beyond HEALTHY FUTURES

    David Taylor, Michael Hagenlocher, Anne E. Jones, Stefan Kienberger, Joseph Leedale, Andrew P. Morse
    31-03-2016
    https://doi.org/10.4081/gh.2016.387
    6577
    PDF: 2066
    HTML: 2197
  • 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
    1449
    PDF: 894
    HTML: 147
  • 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
    3778
    PDF: 1939
    HTML: 2262
  • 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
    2181
    PDF: 686
    HTML: 125
  • Impact of walkability with regard to physical activity in the prevention of diabetes

    Carlos Mena, César Sepúlveda, Yony Ormazábal, Eduardo Fuentes, Iván Palomo
    03-11-2017
    https://doi.org/10.4081/gh.2017.595
    3802
    PDF: 1255
    HTML: 1090
  • 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
    2501
    PDF: 926
    HTML: 83
  • A conceptional model integrating geographic information systems (GIS) and social media data for disease exposure assessment

    Jerry Enoe , Michael Sutherland, Dexter Davis, Bheshem Ramlal, Charisse Griffith-Charles , Keston H. Bhola, Elsai Mati Asefa
    28-03-2024
    https://doi.org/10.4081/gh.2024.1264
    3141
    PDF: 931
    HTML: 121
  • The geographic environment and the frequency of falling: a study of mortality outcomes in elderly people in China

    Yi Huang, Chen Li, Xianjing Lu, Yue Wang
    25-05-2023
    https://doi.org/10.4081/gh.2023.1180
    1052
    PDF: 620
    HTML: 20
  • 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
    3998
    PDF: 1842
    HTML: 789
  • Lung cancer associated with natural vegetation cover: spatial analysis in the state of Pará, eastern Brazil

    Bruna Rafaela Leite Dias, Laura Maria Vidal Nogueira, Ivaneide Leal Ataíde Rodrigues, Bruna Puty, Maria Liracy Batista de Souza, Gracileide Maia Corrêa, Altem Nascimento Pontes
    12-09-2025
    https://doi.org/10.4081/gh.2025.1399
    773
    PDF: 303
    HTML: 14
  • 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
    3337
    PDF: 1468
    HTML: 1230
  • Spatial analysis of congenital heart disease in São Paulo State, Brazil 2012-2022: associations with air pollution, maternal factors and social vulnerability

    Amarílis Bahia Bezerra, Ligia Vizeu Barrozo, Alfredo Pereira de Queiroz
    18-09-2025
    https://doi.org/10.4081/gh.2025.1407
    823
    PDF: 460
    HTML: 22
  • 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
    1800
    PDF: 966
    Supplementary Materials: 155
    HTML: 94
  • Spatial distribution and identifying biochemical factors affecting haemoglobin levels among women of reproductive age for each province in Indonesia: A geospatial analysis

    Muhammad Nur Aidi, Fitrah Ernawati, Efriwati Efriwati, Nunung Nurjanah, Rika Rachmawati, Elisa Diana Julianti, Dian Sundari, Fifi Retiaty, Anwar Fitrianto, Khalilah Nurfadilah, Aya Yuriestia Arifin
    30-11-2022
    https://doi.org/10.4081/gh.2022.1118
    2260
    PDF: 1131
    HTML: 76
  • Associations between rocky mountain spotted fever and veterinary care access, climatic factors and landscape in the State of Arizona, USA

    Yan Lin, Al Ekram Elahee Hridoy , Meifang Li, Zhe Wang, Li Luo, Xiaogang Ma, Zhuoming Liu, Murphy John, Chao Fan, Irene Ruberto, Xi Gong, Xun Shi
    17-07-2025
    https://doi.org/10.4081/gh.2025.1390
    1113
    PDF: 725
    Supplementary Materials: 113
    HTML: 114
  • 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
    2079
    PDF: 948
    HTML: 34
  • Spatial analysis of cutaneous leishmaniasis in an endemic area of Iran based on environmental factors

    Roghieh Ramezankhani, Nooshin Sajjadi, Roya Nezakati Esmaeilzadeh, Seyed Ali Jozi, Mohammad Reza Shirzadi
    08-11-2017
    https://doi.org/10.4081/gh.2017.578
    3000
    PDF: 1176
    HTML: 955
  • 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
    3215
    PDF: 1863
    HTML: 1398
  • Risk discrepancies in COVID-19-related community environments based on spatiotemporal monitoring

    Jihong Zhang, Guohua Yin, Qiuhua Zhang, Juan Fang, Duo Jiang, Chao Yang, Na Sun
    28-04-2025
    https://doi.org/10.4081/gh.2025.1286
    1519
    PDF: 456
    HTML: 102
  • Estimating malaria burden in Nigeria: a geostatistical modelling approach

    Nnadozie Onyiri
    04-11-2015
    https://doi.org/10.4081/gh.2015.306
    7851
    PDF: 3229
    HTML: 3287
  • An investigation of geographical clusters of leptospirosis during the outbreak in Pangandaran, West Java, Indonesia

    Mutiara Widawati, Pandji Wibawa Dhewantara, Raras Anasi, Tri Wahono, Rina Marina, Intan Pandu Pertiwi, Agus Ari Wibowo, Andri Ruliansyah, Muhammad Umar Riandi, Dyah Widiastuti, Endang Puji Astuti
    05-10-2023
    https://doi.org/10.4081/gh.2023.1221
    2309
    PDF: 1150
    HTML: 38
  • Spatiotemporal transmission and socio-climatic factors related to paediatric tuberculosis in north-western Ethiopia

    Kefyalew Addis Alene, Kerri Viney, Emma S. McBryde, Archie C.A. Clements
    27-11-2017
    https://doi.org/10.4081/gh.2017.575
    3834
    PDF: 1298
    APPENDIX: 455
    HTML: 864
  • 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
    4622
    PDF: 1373
    HTML: 278
  • Mapping malaria risk using geographic information systems and remote sensing: The case of Bahir Dar City, Ethiopia

    Amare Sewnet Minale, Kalkidan Alemu
    07-05-2018
    https://doi.org/10.4081/gh.2018.660
    7414
    PDF: 2580
    HTML: 1240
  • 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
    3916
    PDF: 1911
    HTML: 2263
  • Spatial association of socioeconomic and health service factors with antibiotic self-medication in Thailand

    Worrayot Darasawang, Wongsa Laohasiriwong, Kittipong Sornlorm , Warangkana Sungsitthisawad, Roshan Kumar Mahato
    27-01-2025
    https://doi.org/10.4081/gh.2025.1329
    3456
    PDF: 1081
    Supplementary Materials: 585
    HTML: 260
  • 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
    2765
    PDF: 598
    HTML: 60
  • 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
    3550
    PDF: 1652
    HTML: 1048
  • 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
    1857
    PDF: 495
    HTML: 61
  • The geo-spatial perspective of biological, social and environmental determinants of early pregnancy anaemia in rural Sri Lanka: Need for context-specific approaches on prevention

    Gayani Shashikala Amarasinghe, Thilini Chanchala Agampodi, Vasana Mendis, Suneth Buddhika Agampodi
    29-11-2022
    https://doi.org/10.4081/gh.2022.1110
    1658
    PDF: 1002
    HTML: 51
  • 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
    4373
    PDF: 1626
    HTML: 1069
  • Spatial pattern analysis of the impact of community food environments on foetal macrosomia, preterm births and low birth weight

    Micaela Natalia Campero, Carlos Matías Scavuzzo, Carlos Marcelo Scavuzzo, María Dolores Román
    07-05-2024
    https://doi.org/10.4081/gh.2024.1249
    1231
    PDF: 763
    Supplementary Materials: 158
    HTML: 72
  • MALAREO: a user-driven project

    Michael T. Gebreslasie, Ides Bauwens
    04-11-2015
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Geospatial Health
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