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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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  • 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
    1701
    PDF: 745
    HTML: 71
  • Examination of infant mortality risk in Turkey with spatio-temporal Bayesian models

    Sade Kılıç Yıldırım, Celal Reha Alpar
    14-11-2025
    https://doi.org/10.4081/gh.2025.1396
    436
    PDF: 217
    HTML: 6
  • Comparing the perception with the reality of walking in a hilly environment: an accessibility method applied to a University campus in Hong Kong

    Guibo Sun, Robert Haining, Hui Lin, Nicolas M. Oreskovic, Jie He
    18-05-2015
    https://doi.org/10.4081/gh.2015.340
    5493
    PDF: 1945
    HTML: 1908
  • 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
    1621
    PDF: 817
    HTML: 78
  • 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
    1732
    PDF: 817
    HTML: 101
  • 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
    1459
    PDF: 428
    HTML: 95
  • 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
    2419
    PDF: 1387
    HTML: 1151
  • Satellite imagery technology in public health: analysis of site catchment areas for assessment of poliovirus circulation in Nigeria and Niger

    Marina Takane, Shizu Yabe, Yumiko Tateshita, Yusuke Kobayashi, Akihiko Hino, Kazuo Isono, Hiromasa Okayasu, Ousmane M. Diop, Takeo Tadono
    21-11-2016
    https://doi.org/10.4081/gh.2016.462
    2747
    PDF: 1560
    HTML: 1164
  • To what extent does climate explain variations in reported malaria cases in early 20th century Uganda?

    Adrian M. Tompkins, Laragh Larsen, Nicky McCreesh, David Taylor
    31-03-2016
    https://doi.org/10.4081/gh.2016.407
    4714
    PDF: 1319
    Appendix: 561
    HTML: 1230
  • 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
    2240
    PDF: 1485
    HTML: 147
  • 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
    3670
    PDF: 1196
    HTML: 38
  • 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
    1562
    PDF: 633
    HTML: 116
  • Socio-spatial vulnerability index of type 2 diabetes mellitus in Mexico in 2020

    Enríque Ibarra-Zapata, Darío Gaytán-Hernández, Yolanda Terán-Figueroa, Verónica Gallegos-García, Carmen del Pilar Suárez-Rodríguez, Sergio Zarazúa Guzmán, Omar Parra Rodríguez
    27-01-2025
    https://doi.org/10.4081/gh.2025.1348
    4519
    PDF: 1589
    HTML: 275
  • Tuberculosis in Aceh Province, Indonesia: a spatial epidemiological study covering the period 2019–2021

    Farrah Fahdhienie, Frans Yosep Sitepu, Elpiani Br Depari
    03-09-2024
    https://doi.org/10.4081/gh.2024.1318
    1814
    PDF: 841
    HTML: 111
  • Using object-based image analysis to map commercial poultry operations from high resolution imagery to support animal health outbreaks and events

    Susan Maroney, MaryJane McCool-Eye, Andrew Fox, Christopher Burdett
    10-12-2020
    https://doi.org/10.4081/gh.2020.919
    2733
    PDF: 929
    HTML: 152
  • Where to place emergency ambulance vehicles: use of a capacitated maximum covering location model with real call data

    Soheil Hashtarkhani, Stephen A. Matthews, Ping Yin, Alireza Mohammadi, Shahab Mohammad Ebrahimi, Mahmood Tara, Behzad Kiani
    20-07-2023
    https://doi.org/10.4081/gh.2023.1198
    3415
    PDF: 1140
    Supplementary Materials: 929
    HTML: 176
  • The spatial distribution of injuries in need of surgical intervention in Nepal

    Shailvi Gupta, Thomas A. Groen, Barclay T. Stewart, Sunil Shrestha, David A. Spiegel, Benedict C. Nwomeh, Reinou S. Groen, Adam L. Kushner
    31-05-2016
    https://doi.org/10.4081/gh.2016.359
    3615
    PDF: 1306
    HTML: 1111
  • Impact of the COVID-19 pandemic on the number of births in Pernambuco Brazil

    Heitor Victor Veiga da Costa, Cristine Vieira do Bonfim, Wilson Fusco, Morvan de Melo Moreira, Fernando Maciano de Paula Neto
    15-06-2022
    https://doi.org/10.4081/gh.2022.1069
    1283
    PDF: 583
    HTML: 57
  • 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
    4194
    PDF: 1964
    HTML: 1399
  • Spatial pattern and heterogeneity of chronic respiratory diseases and relationship to socio-demographic factors in Thailand in the period 2016 to 2019

    Zar Chi Htwe, Wongsa Laohasiriwong, Kittipong Sornlorm, Roshan Mahato
    25-05-2023
    https://doi.org/10.4081/gh.2023.1203
    1039
    PDF: 673
    HTML: 33
  • 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
    3933
    PDF: 1512
    HTML: 191
  • 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
    1719
    PDF: 931
    Supplementary Materials: 147
    HTML: 87
  • 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
    588
    PDF: 358
    HTML: 36
  • 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
    1740
    PDF: 981
    Appendix: 187
    HTML: 70
  • Spatial access to public hospitals during COVID-19 in Nottinghamshire, UK

    Jishuo Zhang, Meifang Li
    29-11-2022
    https://doi.org/10.4081/gh.2022.1123
    1188
    PDF: 915
    HTML: 84
  • 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
    1776
    PDF: 1139
    Appendix: 155
    HTML: 215
  • 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
    4908
    PDF: 2017
    HTML: 1091
  • Spatiotemporal distribution and geostatistically interpolated mapping of the melioidosis risk in an endemic zone in Thailand

    Jaruwan Wongbutdee, Jutharat Jittimanee, Wacharapong Saengnill
    05-07-2023
    https://doi.org/10.4081/gh.2023.1189
    1820
    PDF: 950
    HTML: 68
  • Comparison of complete and spatial sampling frames for estimation of the prevalence of hypertension and diabetes mellitus

    Vasna Joshua, Kamaraj Pattabi, Yuvaraj Jeyaraman, Prabhdeep Kaur, Tarun Bhatnagar, Suresh Arunachalam, Sabarinathan Ramasamy, Venkateshprabhu Janagaraj, Manoj V Murhekar
    30-11-2022
    https://doi.org/10.4081/gh.2022.1097
    2316
    PDF: 941
    HTML: 122
  • A two-stage location model covering COVID-19 sampling, transport and DNA diagnosis: design of a national scheme for infection control

    Wang Fei, Lv Jiamin, Wang Chunting, Li Yuling, Xi Yuetuing
    26-09-2024
    https://doi.org/10.4081/gh.2024.1281
    1270
    PDF: 505
    HTML: 81
  • 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
    1750
    PDF: 814
    HTML: 19
  • 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
    4480
    PDF: 1830
    HTML: 1757
  • 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
    2055
    PDF: 1266
  • 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
    3311
    PDF: 597
    HTML: 147
  • 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
    2721
    PDF: 571
    HTML: 58
  • Changes in geographic clustering of post-traumatic stress disorder and post-traumatic growth seven years after an earthquake in Cauquenes, Chile

    Marcelo Leiva-Bianchi, Carlos Mena, Yony Ormazábal, Carlos Serrano, Pedro Rojas
    26-11-2020
    https://doi.org/10.4081/gh.2020.886
    2513
    PDF: 923
    HTML: 13
  • 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
    3205
    PDF: 1386
    HTML: 1626
  • 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
    6218
    PDF: 1214
    HTML: 285
  • 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
    3504
    PDF: 1250
    HTML: 72
  • 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
    3150
    PDF: 1469
    HTML: 198
  • Improving AfriPop dataset with settlement extents extracted from RapidEye for the border region comprising South-Africa, Swaziland and Mozambique

    Julie Deleu, Jonas Franke, Michael Gebreslasie, Catherine Linard
    04-11-2015
    https://doi.org/10.4081/gh.2015.336
    2647
    PDF: 1211
    HTML: 1131
  • Simulation of the spatial distribution of urban populations based on first-aid call data

    Yinan Zhou, Qin Zhong Zhu, Li Luo
    29-12-2020
    https://doi.org/10.4081/gh.2020.768
    1606
    PDF: 654
    HTML: 37
  • Use of an ecologically relevant modelling approach to improve remote sensing-based schistosomiasis risk profiling

    Yvonne Walz, Martin Wegmann, Benjamin Leutner, Stefan Dech, Penelope Vounatsou, Eliézer K. N'Goran, Giovanna Raso, Jürg Utzinger
    30-11-2015
    https://doi.org/10.4081/gh.2015.398
    4464
    PDF: 1280
    HTML: 1215
  • Design and implementation of a spatial database for analysis of wheelchair accessibility

    Peter Nezval, Takeshi Shirabe
    24-03-2025
    https://doi.org/10.4081/gh.2025.1324
    2034
    PDF: 579
    HTML: 108
  • Post-pandemic COVID-19 estimated and forecasted hotspots in the Association of Southeast Asian Nations (ASEAN) countries in connection to vaccination rate

    I Gede Nyoman Mindra Jaya, Yudhie Andriyana, Bertho Tantular
    22-03-2022
    https://doi.org/10.4081/gh.2022.1070
    1578
    PDF: 560
    HTML: 40
  • 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
    1648
    PDF: 512
    HTML: 68
  • 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
    4084
    PDF: 1674
    HTML: 116
  • A 24-year exploratory spatial data analysis of Lyme disease incidence rate in Connecticut, USA

    Abolfazl Mollalo, Jason K. Blackburn, Lillian R. Morris, Gregory E. Glass
    08-11-2017
    https://doi.org/10.4081/gh.2017.588
    3203
    PDF: 1366
    HTML: 1034
  • Application of modern spatio-temporal analysis technologies to identify and visualize patterns of rabies emergence among different animal species in Kazakhstan

    Aizada A. Mukhanbetkaliyeva, Anar M. Kabzhanova, Ablaikhan S. Kadyrov, Yersyn Y. Mukhanbetkaliyev, Temirlan G. Bakishev, Aslan A. Bainiyazov, Rakhimtay B. Tleulessov, Fedor I. Korennoy, Andres M. Perez, Sarsenbay K. Abdrakhmanov
    31-07-2024
    https://doi.org/10.4081/gh.2024.1290
    1774
    PDF: 772
    HTML: 116
  • 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
    2453
    PDF: 766
    HTML: 898
  • The contrary Russian flu: London 1890-1892

    Walter Peterson
    17-02-2026
    https://doi.org/10.4081/gh.2026.1428
    339
    PDF: 201
    HTML: 7
  • Environmental modelling of visceral leishmaniasis by susceptibility-mapping using neural networks: a case study in north-western Iran

    Mohammadreza Rajabi, Ali Mansourian, Petter Pilesjö, Ahad Bazmani
    179-191
    01-11-2014
    https://doi.org/10.4081/gh.2014.15
    7450
    PDF: 1618
  • Planning and location of health care services in Jeddah City, Saudi Arabia: Discussion of the constructive use of geographical information systems

    Abdulkader Murad
    09-11-2018
    https://doi.org/10.4081/gh.2018.728
    2042
    PDF: 1190
    HTML: 293
  • Planning for Rift Valley fever virus: use of geographical information systems to estimate the human health threat of white-tailed deer (Odocoileus virginianus)-related transmission

    Sravan Kakani, A. Desirée LaBeaud, Charles H. King
    33-43
    01-11-2010
    https://doi.org/10.4081/gh.2010.185
    1568
    PDF: 1003
  • 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
    502
    PDF: 345
    HTML: 12
  • Geospatial epidemiology of coronary artery disease treated with percutaneous coronary intervention in Crete, Greece

    Evangelos Melidoniotis, Kleomenis Kalogeropoulos, Andreas Tsatsaris, Michail Zografakis-Sfakianakis, George Lazopoulos, Nikolaos Tzanakis, Ioannis Anastasiou, Emmanouil Skalidis
    16-05-2024
    https://doi.org/10.4081/gh.2024.1251
    2508
    PDF: 695
    HTML: 58
  • Does mobility restriction significantly control infectious disease transmission? Accounting for non-stationarity in the impact of COVID-19 based on Bayesian spatially varying coefficient models

    I Gede Nyoman Mindra Jaya, Anna Chadidjah, Farah Kristiani, Gumgum Darmawan, Jane Christine Princidy
    25-05-2023
    https://doi.org/10.4081/gh.2023.1161
    1431
    PDF: 592
    HTML: 22
  • Contacts between poultry farms, their spatial dimension and their relevance for avian influenza preparedness

    Lena Fiebig, Timo Smieszek, Jennifer Saurina, Jan Hattendorf, Jakob Zinsstag
    79-95
    01-11-2009
    https://doi.org/10.4081/gh.2009.212
    1992
    PDF: 916
  • 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
    1235
    PDF: 583
    HTML: 56
  • Monitoring techniques in the capture and adoption of dogs and cats

    Jason Onell Ardila Galvis, Oswaldo Santos Baquero, Ricardo Augusto Dias, Fernando Ferreira, Evelyn Nestori Chiozzotto, José Henrique Hildebrand Grisi-Filho
    04-11-2015
    https://doi.org/10.4081/gh.2015.339
    4250
    PDF: 1888
    HTML: 1487
  • Spatial accessibility to health care services among children with cerebral palsy in Johor, Peninsular Malaysia

    Mohd Azmeer Abu Bakar, Narimah Samat, Nik Soriani Yaacob
    19-10-2021
    https://doi.org/10.4081/gh.2021.987
    2662
    PDF: 1024
    HTML: 267
  • Use of geographic information system as a tool for schistosomiasis surveillance in an endemic Municipality in Eastern Samar, The Philippines

    Vicente Y. Belizario, Jr., John Paul Caesar R. delos Trinos, Nestor Lentejas, Allen J. Alonte, Agnes N. Cuayzon, Marian E. Isiderio, Rodel Delgado, Marilou Tejero, Victorio B. Molina
    14-05-2021
    https://doi.org/10.4081/gh.2021.957
    5601
    PDF: 1917
    HTML: 501
  • Environmental and socio-economic risk modelling for Chagas disease in Bolivia

    Paula Mischler, Michael Kearney, Jennifer C. McCarroll, Ronaldo G.C. Scholte, Penelope Vounatsou, John B. Malone
    S59-S66
    01-09-2012
    https://doi.org/10.4081/gh.2012.123
    3976
    PDF: 1387
  • A spatiotemporal analysis of COVID-19 transmission in Jakarta, Indonesia for pandemic decision support

    Agung Syetiawan, Mira Harimurti, Yosef Prihanto
    14-01-2022
    https://doi.org/10.4081/gh.2022.1042
    4200
    PDF: 695
    HTML: 115
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vhealths

vHealth Section

Geospatial Health
opens the new vHealth section. Discover vHealth

Vol. 21 No. 1 (2026)
Spatial inequalities in cancer with special reference to lung cancer across Europe and their implications for environmental health policy
Dimitrios Ntokos
14 April 2026
Vol. 21 No. 1 (2026)
Snakebite epidemiology in the State of Mexico, Mexico 2003-2024
Aldo Gómez-Benitez et al.
9 April 2026
Vol. 21 No. 1 (2026)
Diabetes prevalence in the state of Alabama: identifying the risk factors
Kwaku Karikari Manu et al.
31 March 2026

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Geospatial Health

is an Open Access, peer-reviewed journal published by PAGEPress®, Pavia, Italy. All credits and honors to PKP for their OJS.

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SLOT DANA

pISSN: 1827-1987
eISSN: 1970-7096

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