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Geospatial Health

eISSN 1970-7096 - pISSN 1827-1987

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Editor-in-Chief: Behzad Kiani

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  • Metropolitan urban hotspots of chronic sleep deprivation: evidence from a community health survey in Gyeongbuk Province, South Korea

    Sun-Bi Um, Jung-Sup Um
    04-11-2015
    https://doi.org/10.4081/gh.2015.382
    3303
    PDF: 1558
    HTML: 1035
  • 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
    4791
    PDF: 1915
    HTML: 1763
  • Prevalence of hypertension in Thailand: Hotspot clustering detected by spatial analysis

    Wongsa Laohasiriwong, Nattapong Puttanapong, Atthawit Singsalasang
    07-05-2018
    https://doi.org/10.4081/gh.2018.608
    4546
    PDF: 2124
    HTML: 585
  • 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
    1732
    PDF: 717
    HTML: 124
  • Epidemiological aspects and spatial distribution of human and canine visceral leishmaniasis in an endemic area in northeastern Brazil

    Roseane Campos, Márcio Santos, Gabriel Tunon, Luana Cunha, Lucas Magalhães, Juliana Moraes, Danielle Ramalho, Sanmy Lima, José Antônio Pacheco, Michael Lipscomb, Amélia Ribeiro de Jesus, Roque Pacheco de Almeida
    11-05-2017
    https://doi.org/10.4081/gh.2017.503
    6021
    PDF: 2320
    HTML: 1163
  • 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
    3552
    PDF: 1280
    HTML: 1082
  • A geographical information system for the management of the aquaculture data in the Adriatic Sea - the Strengthening of Centres for Aquaculture Production and Safety surveillance in the Adriatic countries experience: Present capabilities, tools and functions

    Susanna Tora, Silvio Sacchini, Eddy Listeš, Tanja Bogdanović, Alessio Di Lorenzo, Muhamed Smajlović, Ahmed Smajlović, Jelena V. Filipović, Vildana Tahirović, Danijela Å uković, Bojan Beljkas, Ardian Xinxo, Renis Maçi, Patrizia Colangeli, Federica Di Giacinto, Annamaria Conte
    08-11-2017
    https://doi.org/10.4081/gh.2017.593
    2679
    PDF: 1123
    APPENDIX: 444
    HTML: 875
  • 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
    1502
    PDF: 966
  • Temporal and spatial analyses of colorectal cancer incidence in Yogyakarta, Indonesia: a cross-sectional study

    Juan Adrian Wiranata, Herindita Puspitaningtyas, Susanna Hilda Hutajulu, Jajah Fachiroh, Nungki Anggorowati, Guardian Yoki Sanjaya, Lutfan Lazuardi, Patumrat Sripan
    25-05-2023
    https://doi.org/10.4081/gh.2023.1186
    2168
    PDF: 1226
    HTML: 72
  • 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
    1918
    PDF: 893
    HTML: 25
  • 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
    2933
    PDF: 1025
  • 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
    1475
    PDF: 565
    HTML: 62
  • 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
    7410
    PDF: 3584
  • The basic reproduction quotient (Q0) as a potential spatial predictor of the seasonality of ovine haemonchosis

    Muhammad-Bashir Bolajoko, Hannah Rose, Vincenzo Musella, Antonio Bosco, Laura Rinaldi, Jan van Dijk, Giuseppe Cringoli, Eric R. Morgan
    333-350
    19-03-2015
    https://doi.org/10.4081/gh.2015.356
    2608
    PDF: 1671
  • Urban gentrification and infectious diseases: an interdisciplinary narrative review

    Behzad Kiani, Gabriel Parker, Senobar Naderian, Colleen L. Lau, Benn Sartorius
    07-07-2025
    https://doi.org/10.4081/gh.2025.1388
    1577
    PDF: 674
    HTML: 115
  • Modeling spatio-temporal risk changes in the incidence of dengue fever in Saudi Arabia: a geographical information system case study

    Hassan M. Khormi, Lalit Kumar, Ramze A. Elzahrany
    77-84
    01-11-2011
    https://doi.org/10.4081/gh.2011.159
    3161
    PDF: 1492
  • Diagnostic approaches to malaria in Zambia, 2009-2014

    Victor M. Mukonka, Emmanuel Chanda, Mulakwa Kamuliwo, Maha A. Elbadry, Pauline K. Wamulume, Mercy Mwanza-Ingwe, Jailos Lubinda, Lindsey A. Laytner, Wenyi Zhang, Gabriel Mushinge, Ubydul Haque
    03-06-2015
    https://doi.org/10.4081/gh.2015.330
    3790
    PDF: 1528
    HTML: 1177
  • Spatial patterns of the total mortality over the first 24 hours of life and that due to preventable causes

    Aline Beatriz dos Santos Silva, Ana Catarina de Melo Araújo, Amanda Priscila de Santana Cabral Silva, Mirella Bezerra Rodrigues Vilela, Cristine Vieira do Bonfim
    17-05-2022
    https://doi.org/10.4081/gh.2022.1051
    1297
    PDF: 715
    Appendix: 200
    HTML: 36
  • Detecting space-time disease clusters with arbitrary shapes and sizes using a co-clustering approach

    Sami Ullah, Hanita Daud, Sarat C. Dass, Habib Nawaz Khan, Alamgir Khalil
    06-11-2017
    https://doi.org/10.4081/gh.2017.567
    3126
    PDF: 1186
    HTML: 712
  • 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
    4011
    PDF: 2314
    HTML: 1273
  • 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
    6636
    PDF: 1205
    HTML: 1145
  • 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
    2539
    PDF: 625
    Supplementary 1: 188
    Supplementary 2: 410
    HTML: 181
  • 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
    943
    PDF: 425
    Supplementary materials: 107
    HTML: 29
  • 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
    2216
    PDF: 982
    HTML: 118
  • Clusters of malaria cases at sub-district level in endemic area in Java Island, Indonesia

    Dwi Sarwani Sri Rejeki, Sri Nurlaela, Devi Octaviana, Bangun Wijayanto, Solikhah Solikhah
    18-05-2022
    https://doi.org/10.4081/gh.2022.1048
    2375
    PDF: 1683
    HTML: 154
  • Elimination of malaria due to Plasmodium vivax in central part of the People's Republic of China: analysis and prediction based on modelling

    Zhao Chen, Liang Shi, Xiao-Nong Zhou, Zhi-Gui Xia, Robert Bergquist, Qing-Wu Jiang
    169-177
    01-11-2014
    https://doi.org/10.4081/gh.2014.14
    3841
    PDF: 1303
  • CutL: an alternative to Kulldorff's scan statistics for cluster detection with a specified cut-off level

    Barbara Więckowska, Justyna Marcinkowska
    06-11-2017
    https://doi.org/10.4081/gh.2017.556
    2507
    PDF: 833
    HTML: 905
  • Geographic disparities of asthma prevalence in south-western United States of America

    Lung-Chang Chien, Hasanat Alamgir
    97-108
    01-11-2014
    https://doi.org/10.4081/gh.2014.8
    3103
    PDF: 2151
  • 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
    4550
    PDF: 2034
    APPENDIX 1: 490
    APPENDIX 2: 517
    HTML: 1654
  • Environmental inducers of schistosomiasis mansoni in Campinas, Brazil

    Francisco Anaruma Filho, João Moreno Sant'Ana, Rozely Ferreira dos Santos, Cláudio Luiz Castagna
    79-91
    01-11-2010
    https://doi.org/10.4081/gh.2010.189
    1452
    PDF: 979
  • Identification of environmental parameters and risk mapping of visceral leishmaniasis in Ethiopia by using geographical information systems and a statistical approach

    Teshome Tsegaw, Endalamaw Gadisa, Ahmed Seid, Adugna Abera, Aklilu Teshome, Abate Mulugeta, Merce Herrero, Daniel Argaw, Alvar Jorge, Abraham Aseffa
    299-308
    01-05-2013
    https://doi.org/10.4081/gh.2013.88
    4303
    PDF: 2217
  • Risk areas for hepatitis A, B and C in the municipality of Maringá, Paraná State, Brazil 2007-2010

    Valéria Miranda Avanzi, Udelysses Janete Veltrini Fonzar, Eraldo Schunk Silva, Jorge Juarez Vieira Teixeira, Dennis Armando Bertolini
    08-05-2018
    https://doi.org/10.4081/gh.2018.607
    2091
    PDF: 882
    HTML: 154
  • Spatial-temporal analysis of prostate cancer incidence from the Pennsylvania Cancer Registry, 2000-2011

    Ming Wang, Stephen A. Matthews, Khaled Iskandarani, Yimei Li, Zheng Li, Vernon M. Chinchilli, Lijun Zhang
    28-11-2017
    https://doi.org/10.4081/gh.2017.611
    3827
    PDF: 1037
    HTML: 732
  • Spatial epidemiology of Toxoplasma gondii infection in goats in Serbia

    Vitomir Djokić, Ivana Klun, Vincenzo Musella, Laura Rinaldi, Giuseppe Cringoli, Smaragda Sotiraki, Olgica Djurković-Djaković
    479-488
    01-05-2014
    https://doi.org/10.4081/gh.2014.37
    2594
    PDF: 1313
  • Space-time epidemiology and effect of meteorological parameters on influenza-like illness in Phitsanulok, a northern province in Thailand

    Prakash Madhav Nimbalkar, Nitin Kumar Tripathi
    21-11-2016
    https://doi.org/10.4081/gh.2016.447
    2564
    PDF: 1477
    HTML: 1161
  • How much incident lung cancer was missed globally in 2012? An ecological country-level study

    Benn Sartorius, Kurt Sartorius
    31-05-2016
    https://doi.org/10.4081/gh.2016.396
    2892
    PDF: 2088
    HTML: 1037
  • The impact of geographic mobility on the spread of COVID-19 in Hong Kong

    Paulina Pui Yun Wong, Chien-Tat Low, Poh-Chin Lai
    14-02-2022
    https://doi.org/10.4081/gh.2022.1022
    3537
    PDF: 674
    HTML: 167
  • 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
    4838
    PDF: 1998
    HTML: 2564
  • 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
    3629
    PDF: 1457
    HTML: 868
  • 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
    3435
    PDF: 1289
    Supplementary Materials: 349
    HTML: 78
  • 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
    2484
    PDF: 1762
    APPENDIX: 685
    HTML: 1058
  • 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
    1810
    PDF: 910
    HTML: 92
  • 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
    3117
    PDF: 1890
    HTML: 234
  • 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
    4718
    PDF: 1444
    HTML: 282
  • 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
    1508
    PDF: 748
    HTML: 362
  • Climate-based risk models for Fasciola hepatica in Colombia

    Natalia Valencia-Lòpez, John B. Malone, Catalina Gòmez Carmona, Luz E. Velásquez
    S75-S85
    01-09-2012
    https://doi.org/10.4081/gh.2012.125
    3434
    PDF: 1801
  • 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
    3272
    PDF: 1993
    HTML: 1403
  • Application of geospatial information systems (GIS) for assessment of the distribution of periodontal disease in Makassar City, South Sulawesi Province, Indonesia

    Fuad Husain Akbar, Nur Amaliyah Riyadh
    07-11-2023
    https://doi.org/10.4081/gh.2023.1240
    1878
    PDF: 833
    HTML: 27
  • Influence of landscape factors and management decisions on spatial and temporal patterns of the transmission of chronic wasting disease in white-tailed deer

    Marilyn O'Hara Ruiz, Amy C. Kelly, William M. Brown, Jan E. Novakofski, Nohra E. Mateus-Pinilla
    215-227
    01-11-2013
    https://doi.org/10.4081/gh.2013.68
    3199
    PDF: 1377
  • Role of malnutrition and parasite infections in the spatial variation in children's anaemia risk in northern Angola

    Ricardo J. Soares Magalhães, Antonio Langa, João Mário Pedro, José Carlos Sousa-Figueiredo, Archie C.A. Clements, Susana Vaz Nery
    341-354
    01-05-2013
    https://doi.org/10.4081/gh.2013.91
    4381
    PDF: 2091
  • Risk map for cutaneous leishmaniasis in Ethiopia based on environmental factors as revealed by geographical information systems and statistics

    Ahmed Seid, Endalamaw Gadisa, Teshome Tsegaw, Adugna Abera, Aklilu Teshome, Abate Mulugeta, Merce Herrero, Daniel Argaw, Alvar Jorge, Asnakew Kebede, Abraham Aseffa
    377-387
    01-05-2014
    https://doi.org/10.4081/gh.2014.27
    7643
    PDF: 3000
  • Evaluation by accessibility index differences of the cross-border potential for general inpatient care in the Ems-Dollart Region, a Dutch-German cross-border area

    Sebastian Specht, Helge Schnack, Andreas Hein
    08-08-2025
    https://doi.org/10.4081/gh.2025.1381
    1565
    PDF: 487
    HTML: 61
  • The spatial distribution pattern of human immunodeficiency virus/acquired immune deficiency syndrome in China

    Ying Wang, Yongli Yang, Xuezhong Shi, Saicai Mao, Nian Shi, Xiaoqing Hui
    31-05-2016
    https://doi.org/10.4081/gh.2016.414
    4467
    PDF: 1939
    HTML: 2278
  • Evaluation of spatial cluster detection methods for dengue fever in the state of Paraiba, Brazil

    Alline Oliveira do Nascimento Veloso, Leonardo Wanderley Lopes, Ronei Marcos de Moraes
    27-10-2025
    https://doi.org/10.4081/gh.2025.1393
    700
    PDF: 442
    HTML: 44
  • Spatial and spatiotemporal dynamics of visceral leishmaniasis in an endemic North-eastern region of Brazil

    Ândria Silveira Almeida, Caíque Jordan Nunes Ribeiro, Camila Caroline Carlini, Rogério Silva Santos, Allan Dantas dos Santos, Débora Santos Tavares, Karina Conceição Gomes Machado de Araújo, Tatiana Rodrigues de Moura, Priscila Lima dos Santos
    11-01-2021
    https://doi.org/10.4081/gh.2020.885
    2097
    PDF: 1059
    HTML: 65
  • 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
    11074
    PDF: 4603
    HTML: 2248
  • Geographical accessibility to healthcare by point-of–interest data from online maps: a comparative study

    Heng-Qian Huang-fu, Nan Zhang, Li Wang, Hui-Juan Liang, Ben-Song Xian, Xiao-Fang Gan, Yingsi Lai
    20-12-2024
    https://doi.org/10.4081/gh.2024.1322
    2097
    PDF: 651
    Supplementary Materials: 188
    HTML: 39
  • Integrating agent-based disease, mobility and wastewater models for the study of the spread of communicable diseases

    Néstor DelaPaz-Ruíz, Ellen-Wien Augustijn, Mahdi Farnaghi, Sheheen A. Abdulkareem, Raul Zurita Milla
    11-02-2025
    https://doi.org/10.4081/gh.2025.1326
    2642
    PDF: 769
    Supplementary Materials: 420
    HTML: 224
  • Modelling the domestic poultry population in the United States: A novel approach leveraging remote sensing and synthetic data methods

    Kelly A. Patyk, Mary J. McCool-Eye, David D. South, Christopher L. Burdett, Susan A. Maroney, Andrew Fox, Grace Kuiper, Sheryl Magzamen
    10-12-2020
    https://doi.org/10.4081/gh.2020.913
    4159
    PDF: 1630
    HTML: 216
  • 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
    1999
    PDF: 694
    HTML: 50
  • Comparison of data-fitting models for schistosomiasis: a case study in Xingzi, China

    Yi Hu, Cheng-Long Xiong, Zhi-Jie Zhang, Robert Bergquist, Zeng-Liang Wang, Jie Gao, Rui Li, Bo Tao, Qiu-Lin Jiang, Qingwu Jiang
    125-132
    01-11-2013
    https://doi.org/10.4081/gh.2013.60
    2982
    PDF: 1197
  • Local landscape effects on population dynamics of Ixodes ricinus

    Naveed Asghar, Mona Petersson, Magnus Johansson, Patrik Dinnetz
    21-11-2016
    https://doi.org/10.4081/gh.2016.487
    3527
    PDF: 1674
    HTML: 842
  • 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
    2210
    PDF: 996
    Annex I-VI: 201
    HTML: 81
  • 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
    3291
    PDF: 1589
    HTML: 599
  • A spatial lag model analysis of lung cancer incidence and satellite-derived data on air pollution in Thailand from 2020 to 2023

    Wasana Silangam, Amornrat Luenam
    14-11-2025
    https://doi.org/10.4081/gh.2025.1424
    896
    PDF: 438
    HTML: 11
  • 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
    2072
    PDF: 1273
  • Spread of Ebola virus disease based on the density of roads in West Africa

    Diana Gomez-Barroso, Emilia Velasco, Carmen Varela, Inmaculada Leon, Rosa Cano
    03-11-2017
    https://doi.org/10.4081/gh.2017.552
    2666
    PDF: 1015
    APPENDIX: 599
    HTML: 1311
  • 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
    414
    PDF: 322
    HTML: 15
  • 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
    7139
    PDF: 2466
    HTML: 13676
  • Investigating local variation in disease rates within high-rate regions identified using smoothing

    Matthew Tuson, Matthew Yap, David Whyatt
    25-05-2023
    https://doi.org/10.4081/gh.2023.1144
    825
    PDF: 530
    Supplementary Materials: 150
    HTML: 41
  • 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
    2335
    PDF: 976
    HTML: 45
  • The impact of COVID-19 on healthcare coverage and access in racial and ethnic minority populations in the United States

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Geospatial Health
opens the new vHealth section. Discover vHealth

Vol. 21 No. 2 (2026)
Bayesian hierarchical spatial models for disease mapping in the presence of missing covariates
Sami Ullah et al.
20 August 2026

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Geospatial Health

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