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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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  • 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
    4178
    PDF: 1636
    HTML: 1151
  • Mapping and modelling the geographical distribution of soil-transmitted helminthiases in Peninsular Malaysia: implications for control approaches

    Romano Ngui, Aziz Shafie, Kek H. Chua, Mohd S. Mistam, Hesham M. Al-Mekhlafi, Wan W. W. Sulaiman, Rohela Mahmud, Yvonne A. L. Lim
    365-376
    01-05-2014
    https://doi.org/10.4081/gh.2014.26
    4754
    PDF: 1494
  • Neurological disability in leprosy: incidence and gender association in Sergipe, Brazil

    Daniela Teles de Oliveira, Marília Matos Bezerra, José Antônio Pacheco de Almeida, Malcolm Duthie, Steven Reed, Amelia Ribeiro de Jesus
    S125-S129
    01-09-2012
    https://doi.org/10.4081/gh.2012.130
    1687
    PDF: 915
  • Demographic and health surveillance of mobile pastoralists in Chad: integration of biometric fingerprint identification into a geographical information system

    Daniel Weibel, Esther Schelling, Bassirou Bonfoh, Jürg Utzinger, Jan Hattendorf, Mahamat Abdoulaye, Toguina Madjiade, Jakob Zinsstag
    113-124
    01-11-2008
    https://doi.org/10.4081/gh.2008.237
    6600
    PDF: 1497
  • Spatiotemporal patterns of mortality associated with chronic non-communicable diseases and child malnutrition at the municipal level in Mexico

    José Mauricio Galeana-Pizaña, Leslie Verdeja-Vendrell, Lizbeth Ixchel Díaz-Trejo, Carlos Anzaldo, Daniela Figueroa, Aldo Daniel Jiménez-Ortega
    17-05-2022
    https://doi.org/10.4081/gh.2022.1087
    1904
    PDF: 1188
    Appendix: 216
    HTML: 80
  • A Bayesian kriging model for estimating residential exposure to air pollution of children living in a high-risk area in Italy

    Ana M. Vicedo-Cabrera, Annibale Biggeri, Laura Grisotto, Fabio Barbone, Dolores Catelan
    87-95
    01-11-2013
    https://doi.org/10.4081/gh.2013.57
    2899
    PDF: 1536
  • Dynamic risk model for Rift Valley fever outbreaks in Kenya based on climate and disease outbreak data

    David Gikungu, Jacob Wakhungu, Donald Siamba, Edward Neyole, Richard Muita, Bernard Bett
    31-05-2016
    https://doi.org/10.4081/gh.2016.377
    3429
    PDF: 1574
    HTML: 1494
  • Ecological study and risk mapping of leishmaniasis in an endemic area of Brazil based on a geographical information systems approach

    Alba Valéria Machado da Silva, Monica de Avelar Figueiredo Mafra Magalhães, Reginaldo Peçanha Brazil, João Carlos Araujo Carreira
    33-40
    01-11-2011
    https://doi.org/10.4081/gh.2011.155
    1916
    PDF: 1134
  • The physical environment and health-enhancing activity during the school commute: global positioning system, geographical information systems and accelerometry

    David McMinn, Nicolas M. Oreskovic, Matt J. Aitkenhead, Derek W. Johnston, Shemane Murtagh, David A. Rowe
    569-572
    01-05-2014
    https://doi.org/10.4081/gh.2014.46
    2087
    PDF: 1403
  • Influence of topography on the endemicity of Kala-azar: a study based on remote sensing and geographical information system

    Gouri S. Bhunia, Shreekant Kesari, Algarsamy Jeyaram, Vijay Kumar, Pradeep Das
    155-165
    01-05-2010
    https://doi.org/10.4081/gh.2010.197
    2810
    PDF: 1054
  • Geographical information systems in the management of the 2009-2010 emergency oral anti-rabies vaccination of foxes in north-eastern Italy

    Paolo Mulatti, Nicola Ferrè, Tommaso Patregnani, Lebana Bonfanti, Stefano Marangon
    217-226
    01-05-2011
    https://doi.org/10.4081/gh.2011.174
    2288
    PDF: 1111
  • Mapping of zones potentially occupied by Aedes vexans and Culex poicilipes mosquitoes, the main vectors of Rift Valley fever in Senegal

    Yves M. Tourre, Jean-Pierre Lacaux, Cecile Vignolles, Jacques-André Ndione, Murielle Lafaye
    69-79
    01-11-2008
    https://doi.org/10.4081/gh.2008.233
    2058
    PDF: 1021
  • Spatial pattern of tuberculosis cases in Jos Metropolis, Nigeria in the period 2019-2022

    Augustine Odo Ebonyi, Mary-Jane Ebire Ebonyi, Femi Rufus Tinuola, Isaiah Gwitira
    16-03-2026
    https://doi.org/10.4081/gh.2026.1456
    561
    PDF: 335
    HTML: 26
  • Identifying geographical variations in poverty-obesity relationships: empirical evidence from Taiwan

    Tzai-Hung Wen, Duan-Rung Chen, Meng-Ju Tsai
    257-265
    01-05-2010
    https://doi.org/10.4081/gh.2010.205
    3855
    PDF: 1748
  • New insights into the application of geographical information systems and remote sensing in veterinary parasitology

    Laura Rinaldi, Vincenzo Musella, Annibale Biggeri, Giuseppe Cringoli
    33-47
    01-11-2006
    https://doi.org/10.4081/gh.2006.279
    4104
    PDF: 1813
  • 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
    4723
    PDF: 1445
    HTML: 282
  • Zoning the territory of the Republic of Kazakhstan as to the risk of rabies among various categories of animals

    Sarsenbay K. Abdrakhmanov, Akhmetzhan A. Sultanov, Kanatzhan K. Beisembayev, Fedor I. Korennoy, Dosym B. Кushubaev, Ablaikhan S. Каdyrov
    31-05-2016
    https://doi.org/10.4081/gh.2016.429
    2960
    PDF: 1514
    APPENDIX: 759
    HTML: 1514
  • A geographical information system-based analysis of cancer mortality and population exposure to coal mining activities in West Virginia, United States of America

    Michael Hendryx, Evan Fedorko, Andrew Anesetti-Rothermel
    243-256
    01-05-2010
    https://doi.org/10.4081/gh.2010.204
    4302
    PDF: 2094
  • 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
    1821
    PDF: 1222
  • Urban agriculture and Anopheles habitats in Dar es Salaam, Tanzania

    Stefan Dongus, Dickson Nyika, Khadija Kannady, Deo Mtasiwa, Hassan Mshinda, Laura Gosoniu, Axel W. Drescher, Ulrike Fillinger, Marcel Tanner, Gerry F. Killeen, Marcia C. Castro
    189-210
    01-05-2009
    https://doi.org/10.4081/gh.2009.220
    4750
    PDF: 1622
  • Assessing the effects of air temperature and rainfall on malaria incidence: an epidemiological study across Rwanda and Uganda

    Felipe J. Colòn-González, Adrian M. Tompkins, Riccardo Biondi, Jean Pierre Bizimana, Didacus Bambaiha Namanya
    31-03-2016
    https://doi.org/10.4081/gh.2016.379
    6673
    PDF: 2474
    Appendix: 666
    HTML: 3373
    Appendix: 281
  • 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
    2742
    PDF: 1194
  • Defining health catchment areas in Jeddah city, Saudi Arabia: an example demonstrating the utility of geographical information systems

    Abdulkader A. Murad
    151-160
    01-05-2008
    https://doi.org/10.4081/gh.2008.239
    2129
    PDF: 1371
  • 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
    4095
    PDF: 1979
    HTML: 2217
  • Application of a geographical information system approach for risk analysis of fascioliasis in southern Espírito Santo state, Brazil

    Isabella Vilhena Freire Martins, Barbara Rauta de Avelar, Maria Julia Salim Pereira, Adevair Henrique da Fonseca
    S87-S93
    01-09-2012
    https://doi.org/10.4081/gh.2012.126
    2292
    PDF: 1238
  • Unravelling the dual burden in regional context: how child malnutrition and socioeconomic gradients shape early childhood development

    Muhammad Usman
    05-02-2026
    https://doi.org/10.4081/gh.2026.1455
    688
    PDF: 495
    HTML: 17
  • Spatial analysis of the relationship between early childhood mortality and malaria endemicity in Malawi

    Lawrence N. Kazembe, Christopher C. Appleton, Immo Kleinschmidt
    41-50
    01-11-2007
    https://doi.org/10.4081/gh.2007.253
    3211
    PDF: 1657
  • Climate and the distribution of vector-borne diseases: what's in store?

    Robert Bergquist
    08-05-2017
    https://doi.org/10.4081/gh.2017.549
    3479
    PDF: 1554
    HTML: 857
  • Climate change and the potential global distribution of Aedes aegypti: spatial modelling using geographical information system and CLIMEX

    Hassan M. Khormi, Lalit Kumar
    405-415
    01-05-2014
    https://doi.org/10.4081/gh.2014.29
    10818
    PDF: 5044
  • GeoCREV: veterinary geographical information system and the development of a practical sub-national spatial data infrastructure

    Nicola Ferrè, Paolo Mulatti, Matteo Mazzucato, Monica Lorenzetto, Matteo Trolese, Dario Pandolfo, Piero Vio, Guido Sitta, Stefano Marangon
    275-283
    01-05-2011
    https://doi.org/10.4081/gh.2011.180
    1737
    PDF: 1363
  • 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: 984
    HTML: 118
  • 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
    792
    PDF: 321
    HTML: 18
  • Using geographical information systems for defining the accessibility to health care facilities in Jeddah City, Saudi Arabia

    Abdulkader A. Murad
    S661-S669
    01-12-2014
    https://doi.org/10.4081/gh.2014.295
    3689
    PDF: 2429
  • 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
    2621
    PDF: 1674
  • Developing operational algorithms using linear and non-linear squares estimation in Python® for the identification of Culex pipiens and Culex restuans in a mosquito abatement district (Cook County, Illinois, USA)

    Benjamin G. Jacob, Weidong Gu, Erik X. Caamano, Robert J. Novak
    157-176
    01-05-2009
    https://doi.org/10.4081/gh.2009.218
    1734
    PDF: 1105
  • Environmental determinants of Opisthorchis viverrini prevalence in northeast Thailand

    Yi-Chen Wang, Chen-Chieh Feng, Paiboon Sithithaworn
    111-123
    01-11-2013
    https://doi.org/10.4081/gh.2013.59
    3936
    PDF: 1391
  • 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
    3165
    PDF: 1494
  • Geographical information systems in health research and services delivery in the Philippines

    Lydia R. Leonardo, Bobby A. Crisostomo, Juan Antonio A. Solon, Pilarita T. Rivera, Alvin B. Marcelo, Jonathan M. Villasper
    147-155
    01-05-2007
    https://doi.org/10.4081/gh.2007.263
    3494
    PDF: 1542
  • Spatial distribution of HIV/AIDS in Yunnan province, People's Republic of China

    Zhi-Hang Peng, Yue-Jia Cheng, Kathleen H. Reilly, Lu Wang, Qian-Qian Qin, Zheng-Wei Ding, Guo-Wei Ding, Ke-Qin Ding, Rong-Bin Yu, Feng Chen, Ning Wang
    177-182
    01-05-2011
    https://doi.org/10.4081/gh.2011.169
    3346
    PDF: 1559
  • 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
    3273
    PDF: 1010
    HTML: 127
  • 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
    1130
    PDF: 726
    HTML: 20
  • Utilization of the emergency room: impact of geographic distance

    Jae Eun Lee, Jung Hye Sung, William B. Ward, Peter J. Fos, Won Jae Lee, Jae Chang Kim
    243-253
    01-05-2007
    https://doi.org/10.4081/gh.2007.272
    4337
    PDF: 1529
  • 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
    1511
    PDF: 748
    HTML: 364
  • 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
    1577
    PDF: 351
    HTML: 61
  • 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
    4309
    PDF: 2219
  • 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
    2605
    PDF: 1044
    HTML: 146
  • Use of geographical information systems for delimiting health service areas in China

    Xuechen Xiong, Li Luo
    11-05-2017
    https://doi.org/10.4081/gh.2017.486
    2578
    PDF: 1250
    HTML: 1045
  • 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
    5066
    PDF: 2089
    HTML: 1098
  • 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
    1700
    PDF: 787
    Supplementary Materials: 149
    HTML: 26
  • Predominance and geo-mapping of avian influenza H5N1 in poultry sectors in Egypt

    Abdelsatar Arafa, Ihab El-Masry, Shereen Khoulosy, Mohammed K. Hassan, Moussa Soliman, Olubunmi G. Fasanmi, Folorunso O. Fasina, Gwenaelle Dauphin, Juan Lubroth, Yilma M. Jobre
    28-11-2016
    https://doi.org/10.4081/gh.2016.492
    3079
    PDF: 1290
    APPENDIX: 532
    HTML: 1531
  • Spatial and spatio-temporal analysis of malaria in the state of Acre, western Amazon, Brazil

    Leonardo Augusto Kohara Melchior, Francisco Chiaravalloti Neto
    16-11-2016
    https://doi.org/10.4081/gh.2016.443
    4355
    PDF: 2062
    HTML: 1410
  • 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
    1882
    PDF: 611
    HTML: 77
  • 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
    2216
    PDF: 997
    Annex I-VI: 201
    HTML: 81
  • 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
    6366
    PDF: 1354
    HTML: 323
  • Revealed access to haemodialysis facilities in northeastern Iran: Factors that matter in rural and urban areas

    Behzad Kiani, Nasser Bagheri, Ahmad Tara, Benyamin Hoseini, Hamed Tabesh, Mahmood Tara
    07-11-2017
    https://doi.org/10.4081/gh.2017.584
    3414
    PDF: 916
    HTML: 666
  • 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
    3990
    PDF: 1305
    HTML: 48
  • Modelling of the distribution of Biomphalaria glabrata and Biomphalaria straminea in the metropolitan region of Recife, Pernambuco, Brazil

    Verônica Santos Barbosa, Ricardo José de Paula Souza e Guimarães, Rodrigo Moraes Loyo, Constança Simões Barbosa
    25-11-2016
    https://doi.org/10.4081/gh.2016.490
    3349
    PDF: 1476
    HTML: 1630
  • 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
    3050
    PDF: 1661
  • 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
    1900
    PDF: 1071
    Supplementary Materials: 186
    HTML: 112
  • Spatial analysis of the regional variation of reproductive tract infections and spousal migration correlates in Nepal

    Derek C. Johnson, Pema Lhaki, Charlotte Buehler Cherry, Mirjam-Colette Kempf, Eric Chamot, Sten H. Vermund, Sadeep Shrestha
    30-05-2017
    https://doi.org/10.4081/gh.2017.513
    2666
    PDF: 1436
    HTML: 960
  • Habitat suitability map of Ixodes ricinus tick in France using multi-criteria analysis

    Isabelle Lebert, Séverine Bord, Christine Saint-Andrieux, Eva Cassar, Patrick Gasqui, Frédéric Beugnet, Karine Chalvet-Monfray, Sophie O. Vanwambeke, Gwenaël Vourc’h, Magalie René-Martellet
    17-05-2022
    https://doi.org/10.4081/gh.2022.1058
    11210
    PDF: 2707
    Appendix: 424
    HTML: 410
  • 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
    849
    PDF: 440
    Supplementary materials: 53
    HTML: 18
  • Abortion and infant mortality change driven by socioeconomic conditions in Russia

    Li Wang, Linsheng Yang, Hairong Li, Hongyan Cai, Jixia Huang, Svetlana M. Malkhazova
    17-03-2021
    https://doi.org/10.4081/gh.2021.923
    2517
    PDF: 990
    Appendix: 314
    HTML: 297
  • Validation of an interactive map assessing the potential spread of Galba truncatula as intermediate host of Fasciola hepatica in Switzerland

    Rhea Baggenstos, Tobias Dahinden, Paul R. Torgerson, Hansruedi Bär, Christina Rapsch, Gabriela Knubben-Schweizer
    31-05-2016
    https://doi.org/10.4081/gh.2016.418
    2767
    PDF: 1426
    HTML: 1022
  • Geospatial determinants of diabetes risk in Thailand: socioeconomic and health service factors

    Withaya Polnakoo, Wongsa Laohasiriwong, Kittipong Sornlorm
    01-07-2026
    https://doi.org/10.4081/gh.2026.1440
    211
    PDF: 91
    HTML: 4
  • Immunity to poliovirus in Afghanistan: A household sampling method for serological assessment based on geographical information systems

    Amalia Mendes, Ari Whiteman, Benjamin Nygren, Brian Kaplan, Imtiaz Hussain, Sajid Soofi, Maureen Martinez, Noha H. Farag
    29-11-2022
    https://doi.org/10.4081/gh.2022.1107
    1417
    PDF: 841
    HTML: 59
  • 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
    4403
    PDF: 2356
    HTML: 133
  • Disease mapping and spatio-temporal analysis: importance of expected-case computation criteria

    Gonzalo Lòpez-Abente, Nuria Aragonés, Javier García-Pérez, Pablo Fernández- Navarro
    27-35
    01-11-2014
    https://doi.org/10.4081/gh.2014.3
    3613
    PDF: 1829
  • 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
    3568
    PDF: 1154
    Supplementary Materials: 606
    HTML: 263
  • 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
    3244
    PDF: 1075
    HTML: 895
  • Spatial cluster analysis of COVID-19 in Malaysia (Mar-Sep, 2020)

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Geospatial Health
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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
Vol. 21 No. 2 (2026)
Ten common pitfalls in spatial epidemiology and how to avoid them
Behzad Kiani et al.
1 September 2026
Vol. 21 No. 2 (2026)
Synergistic drivers of Lyme disease emergence in North America: an eco-syndemic review
Michael F. Ojo et al.
4 August 2026

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Geospatial Health

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