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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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  • Spatiality in small area estimation: A new structure with a simulation study

    Yadollah Mehrabi, Amir Kavousi, Ahmad-Reza Baghestani, Mojtaba Soltani-Kermanshahi
    29-12-2020
    https://doi.org/10.4081/gh.2020.872
    1341
    PDF: 646
    Supplementary materials: 209
    HTML: 29
  • Japan's efforts to promote global health using satellite remote sensing data from the Japan Aerospace Exploration Agency for prediction of infectious diseases and air quality

    Tamotsu Igarashi, Akihiko Kuze, Shinichi Sobue, Aya Yamamoto, Kazuhide Yamamoto, Kei Oyoshi, Keiji Imaoka, Toru Fukuda
    S603-S610
    01-12-2014
    https://doi.org/10.4081/gh.2014.299
    3028
    PDF: 1828
  • 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
    1367
    PDF: 709
    HTML: 21
  • Vaccine hesitancy in East Malaysia (Sabah): A survey of the national COVID-19 immunisation programme

    Adi Jafar, Mohammad Tahir Mapa, Nordin Sakke, Ramli Dollah, Eko Prayitno Joko, Colonius Atang, Syahruddin Awang Ahmad, Chong Vun Hung, Fionna Geogre
    14-01-2022
    https://doi.org/10.4081/gh.2022.1037
    6323
    PDF: 1291
    HTML: 295
  • 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
    1477
    PDF: 398
    HTML: 58
  • Spatial statistical analysis of Coronavirus Disease 2019 (Covid-19) in China

    Huling Li, Hui Li, Zhongxing Ding, Zhibin Hu, Feng Chen, Kai Wang, Zhihang Peng, Hongbing Shen
    15-06-2020
    https://doi.org/10.4081/gh.2020.867
    7355
    PDF: 3225
    HTML: 101
  • Visualization of schistosomiasis snail habitats using light unmanned aerial vehicles

    Andrew J. Chamberlin, Isabel J. Jones, Andrea J. Lund, Nicolas Jouanard, Gilles Riveau, Raphaël Ndione, Susanne H. Sokolow, Chelsea L. Wood, Kevin D. Lafferty, Giulio A. De Leo
    08-01-2021
    https://doi.org/10.4081/gh.2020.818
    1828
    HTML: 114
    PDF: 943
  • Barriers to use of geospatial data for adaptation to climate change and variability: case studies in public health

    Joan L. Aron
    11-16
    01-11-2006
    https://doi.org/10.4081/gh.2006.277
    1509
    PDF: 1013
  • 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
    807
    PDF: 329
    HTML: 15
  • 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
    3201
    PDF: 1052
    HTML: 895
  • Redefining climate regions in the United States of America using satellite remote sensing and machine learning for public health applications

    Alexander Liss, Magaly Koch, Elena N. Naumova
    S467-S659
    01-12-2014
    https://doi.org/10.4081/gh.2014.294
    3390
    PDF: 1536
  • 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
    3296
    PDF: 686
    HTML: 97
  • Methodological framework for assessing malaria risk associated with climate change in Côte d’Ivoire

    Yao Etienne Kouakou, Iba Dieudonné Dely, Madina Doumbia, Aziza Ouattara, Effah Jemima N’da, Koffi Evrard Brou, Yao Anicet Zouzou, Guéladio Cissé, Brama Koné
    28-08-2024
    https://doi.org/10.4081/gh.2024.1285
    1869
    PDF: 904
    HTML: 103
  • A geospatial analysis of cardiometabolic diseases and their risk factors considering environmental features in a midsized city in Argentina

    Micaela Natalia Campero, Carlos Matías Scavuzzo, Veronica Andreo, María Sol Mileo, Micaela Belén Franzois, María Georgina Oberto, Carla Gonzalez Rodriguez, María Daniela Defagó
    23-10-2023
    https://doi.org/10.4081/gh.2023.1212
    1964
    PDF: 974
    HTML: 29
  • Use of soil moisture active passive satellite data and WorldClim 2.0 data to predict the potential distribution of visceral leishmaniasis and its vector Lutzomyia longipalpis in Sao Paulo and Bahia states, Brazil

    Moara de Santana Martins Rodgers, Elivelton Fonseca, Prixia del Mar Nieto, John B. Malone, Jeffery C. Luvall, Jennifer C. McCarroll, Ryan Harry Avery, Maria Emilia Bavia, Raul Guimaraes, Xue Wen, Marta Mariana Nascimento Silva, Deborah D.M.T. Carneiro, Luciana Lobato Cardim
    08-06-2022
    https://doi.org/10.4081/gh.2022.1095
    1787
    PDF: 1063
    HTML: 67
  • Spatial abundance and human biting rate of Anopheles arabiensis and Anopheles funestus in savannah and rice agro-ecosystems of Central Tanzania

    Leonard E.G. Mboera, Veneranda M. Bwana, Susan F. Rumisha, Grades Stanley, Patrick K. Tungu, Robert C. Malima
    18-05-2015
    https://doi.org/10.4081/gh.2015.322
    3313
    PDF: 1561
    HTML: 1423
  • A Bayesian spatiotemporal Poisson conditional autoregressive model for dengue haemorrhagic fever in Indonesia integrating satellite-generated environmental data

    Sukarna Sukarna, Hari Wijayanto, Yenni Angraini, Anang Kurnia
    18-07-2025
    https://doi.org/10.4081/gh.2025.1379
    1359
    PDF: 658
    HTML: 61
  • 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
    1814
    PDF: 572
    HTML: 72
  • 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
    4127
    PDF: 1705
    HTML: 217
  • Using global positioning system methods to explore mobility patterns and exposure to high HIV prevalence neighbourhoods among transgender women in New York

    William C. Goedel, Seann D. Regan, Basile Chaix, Asa Radix, Sari L. Reisner, Aron C. Janssen, Dustin T. Duncan
    12-11-2019
    https://doi.org/10.4081/gh.2019.752
    1823
    PDF: 948
    HTML: 57
  • Building obesity in Canada: understanding the individual- and neighbourhood-level determinants using a multi-level approach

    Theodora Pouliou, Susan J. Elliott, Antonio Paez, K. Bruce Newbold
    45-55
    01-11-2014
    https://doi.org/10.4081/gh.2014.5
    3027
    PDF: 1640
  • Water and health in mining settings in sub-Saharan Africa: A mixed methods geospatial visualization

    Andrea Leuenberger, Dominik Dietler, Isaac Lyatuu, Andrea Farnham, Fadhila Kihwele, Fritz Brugger, Mirko S. Winkler
    11-05-2021
    https://doi.org/10.4081/gh.2021.965
    2062
    VIDEO: 0
    PDF: 841
    HTML: 67
  • 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
    2431
    PDF: 1731
    APPENDIX: 675
    HTML: 1054
  • A Bayesian spatial ecological analysis of social conditions, infection burden and COVID-19 mortality across mainland Scottish councils 2020-2021

    Zhiyuan Luo, Yancheng Liu, Wenqi Xu
    10-06-2026
    https://doi.org/10.4081/gh.2026.1477
    306
    PDF: 171
    Supplementary Materials: 40
    HTML: 5
  • 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
    2350
    PDF: 1157
    HTML: 77
  • The effect of population distribution measures on evaluating spatial accessibility of primary health-care institutions: A case study from China

    Jianxia Tan, Xiuli Wang, Jay Pan
    11-03-2021
    https://doi.org/10.4081/gh.2021.936
    3285
    PDF: 1156
    HTML: 195
  • Impact of climate change on dengue fever: a bibliometric analysis

    Mai Liu, Yin Zhang
    19-02-2025
    https://doi.org/10.4081/gh.2025.1301
    2883
    PDF: 985
    Supplementary Materials: 390
    HTML: 140
  • Predicting frequency distribution and influence of sociodemographic and behavioral risk factors of Schistosoma mansoni infection and analysis of co-infection with intestinal parasites

    Carla V.V. Rollemberg, Marília M.B.L. Silva, Karla C. Rollemberg, Fábio R. Amorim, Nayanna M.N. Lessa, Marcos D.S. Santos, Acácia M.B. Souza, Enaldo V. Melo, Roque P. Almeida, Ângela M. Silva, Guilherme L. Werneck, Mario A. Santos, José A.P. Almeida, Amélia R. Jesus
    18-05-2015
    https://doi.org/10.4081/gh.2015.303
    5014
    PDF: 2065
    HTML: 1097
  • 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
    3050
    PDF: 1828
    HTML: 228
  • 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
    1546
    PDF: 968
    HTML: 151
  • 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
    3710
    PDF: 1230
    HTML: 831
  • Spatial cluster analysis of COVID-19 in Malaysia (Mar-Sep, 2020)

    Sami Ullah, Nurul Hidayah Mohd Nor, Hanita Daud, Nooraini Zainuddin, Muhammad Salim Javed Gandapur, Iftikhar Ali, Alamgir Khalil
    05-05-2021
    https://doi.org/10.4081/gh.2021.961
    4176
    PDF: 1732
    HTML: 124
  • 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
    2491
    PDF: 819
    HTML: 905
  • Mitigating infectious disease risks through non-stationary flood frequency analysis: a case study in Malaysia based on natural disaster reduction strategy

    Nur Amalina Mat Jan, Muhammad Fadhil Marsani, Loshini Thiruchelvam, Nur Balqishanis Zainal Abidin, Ani Shabri, Sarah A'fifah Abdullah Sani
    13-11-2023
    https://doi.org/10.4081/gh.2023.1236
    1920
    PDF: 795
    HTML: 79
  • Sentiment analysis using a lexicon-based approach in Lisbon, Portugal

    Iuria Betco, Ana Isabel Ribeiro, David S. Vale, Luis Encalada-Abarca, Cláudia M. Viana, Jorge Rocha
    24-04-2025
    https://doi.org/10.4081/gh.2025.1344
    1405
    PDF: 642
    Supplementary Materials: 225
    HTML: 84
  • Spatial analysis and prediction of the flow of patients to public health centres in a middle-sized Spanish city

    Isabel Ramos, Juan J. Cubillas, Francisco R. Feito, Tomas Ureña
    21-11-2016
    https://doi.org/10.4081/gh.2016.452
    2273
    PDF: 1337
    HTML: 1142
  • 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
    800
    PDF: 493
    Supplementary Materials: 148
    HTML: 40
  • A determination of the spatial concordance between Lyme disease incidence and habitat probability of its primary vector Ixodes scapularis (black-legged tick)

    Samuel F. Atkinson, Sahotra Sarkar, Aldo Aviña, Jim A. Schuermann, Phillip Williamson
    203-212
    01-11-2014
    https://doi.org/10.4081/gh.2014.17
    15419
    PDF: 1316
  • 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
    1532
    PDF: 334
    HTML: 60
  • 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
    1734
    PDF: 1053
    HTML: 51
  • 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
    3953
    PDF: 1946
    HTML: 2264
  • Geo-epidemiological reporting and spatial clustering of the 10 most prevalent cancers in Iran

    Ebrahim Babaee, Gholamreza Roshandel, Meysam Olfatifar, Arash Tehrani-Banihashemi, Arezou Ashaari, Marzieh Nojomi
    11-05-2021
    https://doi.org/10.4081/gh.2021.904
    2687
    PDF: 1473
    HTML: 179
  • Analysis of spatio-temporal variations in stroke incidence and case-fatality in Hong Kong

    Pui Hing Chau, Jean Woo, William B. Goggins, Moses Wong, Kam Che Chan, Suzanne C. Ho
    13-20
    01-11-2011
    https://doi.org/10.4081/gh.2011.153
    1793
    PDF: 1207
  • GeoMedStat: an integrated spatial surveillance system to track air pollution and associated healthcare events

    Fazlay S. Faruque, Hui Li, Worth B. Williams, Lance A. Waller, Bruce T. Brackin, Lei Zhang, Kim A. Grimes, Richard W. Finley
    S631-S646
    01-12-2014
    https://doi.org/10.4081/gh.2014.293
    3596
    PDF: 1804
  • Modelling the ecological niche of hookworm in Brazil based on climate

    Ntombi B. Mudenda, John B. Malone, Michael T. Kearney, Paula D. Mischler, Prixia del Mar Nieto, Jennifer C. McCarroll, Penelope Vounatsou
    S111-S123
    01-09-2012
    https://doi.org/10.4081/gh.2012.129
    2398
    PDF: 1175
  • Exploring recent spatial patterns of cutaneous leishmaniasis and their associations with climate in some countries of the Middle East using geographical information systems

    Salahuddin M. Jaber, Jwan H. Ibbini, Nawal S. Hijjawi, Nafn M. Amdar, Mohammed J. Huwail, Khalid Al-Aboud
    143-158
    01-11-2013
    https://doi.org/10.4081/gh.2013.62
    2385
    PDF: 1128
  • Evaluation of emergency medical service application from a geographical location perspective in Turkey

    Özgür Elmas, Rahmi Nurhan Çelik
    29-09-2025
    https://doi.org/10.4081/gh.2025.1408
    3052
    PDF: 534
    HTML: 65
  • Spatio-temporal correlation between human and bovine schistosomiasis in China: insight from three national sampling surveys

    Xiao-Hua Wu, Xian-Hong Wang, Jürg Utzinger, Kun Yang, Thomas K. Kristensen, Robert Bergquist, Gen-Ming Zhao, Hui Dang, Xiao-Nong Zhou
    75-84
    01-11-2007
    https://doi.org/10.4081/gh.2007.256
    2676
    PDF: 995
  • The effectiveness of the restricted policy on specific venues in Hong Kong: A spatial point pattern view

    Yijia Liu, Wenzhong Shi, Anshu Zhang, Xiaosheng Zhu
    29-11-2022
    https://doi.org/10.4081/gh.2022.1130
    1033
    PDF: 994
    HTML: 33
  • Spatial modelling and mapping of teen birth rates in Taiwan in the period 1995-2010

    Ying-Chih Chuang, Ting-Wu Chuang, Hsing Jasming Chao, Kuo-Chien Tseng, Kun-Yang Chuang
    09-11-2018
    https://doi.org/10.4081/gh.2018.700
    1902
    PDF: 1070
    HTML: 147
  • Response to Comments on Socio-geographical factors in vulnerability to dengue in Thai villages: a spatial regression analysis by Tipayamongkholgul and Lisakulruk

    Mathuros Tipayamongkholgul, Sunisa Lisakulruk
    4
    01-11-2011
    https://doi.org/10.4081/gh.2011.151
    1057
    PDF: 789
  • The use of remotely sensed environmental data in the study of malaria

    Vanessa Machault, Cécile Vignolles, François Borchi, Penelope Vounatsou, Frédéric Pages, Sébastien Briolant, Jean-Pierre Lacaux, Christophe Rogier
    151-168
    01-05-2011
    https://doi.org/10.4081/gh.2011.167
    6054
    PDF: 2364
  • Association between climate variables and dengue incidence in Nakhon Si Thammarat Province, Thailand

    Fatima Ibrahim Abdulsalam, Supabhorn Yimthiang, Aroon La-Up, Pakorn Ditthakit , Pannee Cheewinsiriwat, Warit Jawjit
    28-10-2021
    https://doi.org/10.4081/gh.2021.1012
    4621
    PDF: 2077
    SUPPLEMENTARY: 264
    HTML: 686
  • Alcohol sale status and homicide victimization in Kentucky, 2005-2012: Is there a spatial association?

    Hanan Abdulghafoor Khaleel, Sabrina Brown, Steven Fleming, W. Jay Christian
    14-05-2019
    https://doi.org/10.4081/gh.2019.747
    1701
    PDF: 1009
    HTML: 46
  • Spatio-temporal trends and distribution patterns of typhoid disease in Uganda from 2012 to 2017

    Kamukama Ismail, Gilbert Maiga, Denis Ssebuggwawo, Peter Nabende, Ali Mansourian
    07-01-2021
    https://doi.org/10.4081/gh.2020.860
    3934
    PDF: 1267
    HTML: 48
  • A geographical information systems-based approach to health facilities and urban traffic system in Belgrade, Serbia

    Aleksandar Valjarević, Dragana Valjarević, Zorica Stanojević-Ristić, Tatjana Djekić, Nebojša Živić
    09-11-2018
    https://doi.org/10.4081/gh.2018.729
    1773
    PDF: 987
    APPENDIX: 840
    HTML: 110
  • Meteorological, environmental remote sensing and neural network analysis of the epidemiology of malaria transmission in Thailand

    Richard Kiang, Farida Adimi, Valerii Soika, Joseph Nigro, Pratap Singhasivanon, Jeeraphat Sirichaisinthop, Somjai Leemingsawat, Chamnarn Apiwathnasorn, Sornchai Looareesuwan
    71-84
    01-11-2006
    https://doi.org/10.4081/gh.2006.282
    3552
    PDF: 1879
  • MALAREO: a user-driven project

    Michael T. Gebreslasie, Ides Bauwens
    04-11-2015
    https://doi.org/10.4081/gh.2015.329
    2949
    PDF: 1329
    HTML: 1016
  • Spatial analysis of risk factors for transmission of the Barmah Forest virus in Queensland, Australia

    Suchithra Naish, Kerrie Mengersen, Shilu Tong
    289-299
    01-11-2013
    https://doi.org/10.4081/gh.2013.74
    1948
    PDF: 1133
  • Strengthening disease control and trade through zoning and biosecurity

    Nicola Ferrè, Guido Di Martino, Benedetta Cappelletti, Carlotta Ferroni, Marija Korac, Paolo Tizzani, Federica Sbettega, Giovanni Cattoli
    13-05-2026
    https://doi.org/10.4081/gh.2026.1391
    175
    PDF: 144
    HTML: 27
  • Estimating the geographical distribution of the prevalence of the metabolic syndrome in young Mexicans

    Miguel Murguía-Romero, Rafael Jiménez-Flores, Rafael Villalobos-Molina, Adolfo René Méndez-Cruz
    S43-S50
    01-09-2012
    https://doi.org/10.4081/gh.2012.121
    1610
    PDF: 1059
  • Mapping routine malaria incidence at village level for targeted control in Papua New Guinea

    Daniela Rodríguez-Rodríguez, Seri Maraga, Sharon Jamea-Maiasa, Anthony Tandrapah, Leo Makita, Peter M. Siba, Ivo Mueller, Justin Pulford, Manuel Hetzel
    07-11-2019
    https://doi.org/10.4081/gh.2019.798
    1768
    VIDEO: 0
    PDF: 817
    HTML: 51
  • 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
    6605
    PDF: 2730
    HTML: 3139
  • Global spreading of Omicron variant of COVID-19

    Pengxin Zhang, Shuhan Yang, Shaoqing Dai, Darren How Jin Aik, Shujuan Yang, Peng Jia
    13-07-2022
    https://doi.org/10.4081/gh.2022.1083
    2168
    PDF: 960
    HTML: 58
  • Spatial distribution of soil-transmitted helminths, including Strongyloides stercoralis, among children in Zanzibar

    Stefanie Knopp, Khalfan A. Mohammed, I. Simba Khamis, Ali F. Mgeni, J. Russell Stothard, David Rollinson, Hanspeter Marti, Jürg Utzinger
    47-56
    01-11-2008
    https://doi.org/10.4081/gh.2008.231
    3641
    PDF: 1509
  • Development of a web-geographical information system application for plotting tuberculosis cases

    Nur Adibah Mohidem, Malina Osman, Farrah Melissa Muharam, Saliza Mohd Elias, Rafiza Shaharudin, Zailina Hashim
    19-10-2021
    https://doi.org/10.4081/gh.2021.980
    2333
    PDF: 1308
    HTML: 169
  • Upscale or downscale: applications of fine scale remotely sensed data to Chagas disease in Argentina and schistosomiasis in Kenya

    Uriel Kitron, Julie A. Clennon, M. Carla Cecere, Ricardo E. Gürtler, Charles H. King, Gonzalo Vazquez-Prokopec
    49-58
    01-11-2006
    https://doi.org/10.4081/gh.2006.280
    2616
    PDF: 1123
  • SandflyMap: leveraging spatial data on sand fly vector distribution for disease risk assessments

    Desmond H. Foley, Richard C. Wilkerson, L. Lynnette Dornak, David B. Pecor, Arpad S. Nyari, Leopoldo M. Rueda, Lewis S. Long, Jason H. Richardson
    S25-S30
    01-09-2012
    https://doi.org/10.4081/gh.2012.119
    2715
    PDF: 1176
  • 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
    4965
    PDF: 2166
    Appendix: 603
    HTML: 1600
  • Detection of high risk campylobacteriosis clusters at three geographic levels

    Jennifer Weisent, Barton Rohrbach, John R. Dunn, Agricola Odoi
    65-76
    01-11-2011
    https://doi.org/10.4081/gh.2011.158
    1966
    PDF: 928
  • Spatial dynamic patterns of hand-foot-mouth disease in the People's Republic of China

    Jin-Feng Wang, Cheng-Dong Xu, Shi-Lu Tong, Hong-Yan Chen, Wei-Zhong Yang
    381-390
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Geospatial Health
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Vol. 21 No. 2 (2026)
Spatial risk of hypertension in rural China: modelling the effect of dietary, behavioural and climate factors
Jie Wang et al.
23 July 2026
Vol. 21 No. 2 (2026)
Epidemiological and spatial analysis of breast cancer mortality and survival among women in San Luis Potosi, Mexico 2009-2019
Carlos Daniel Coronado-Ruis et al.
23 July 2026
Vol. 21 No. 2 (2026)
Geospatial assessment of dengue fever risk and spatial patterns in Phayao Province, Thailand
Phaisarn Jeefoo et al.
23 July 2026

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Geospatial Health

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