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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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  • 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
    1962
    PDF: 863
    HTML: 117
  • Spatio-temporal analysis of fox rabies cases in Germany 2005-2006

    Matthias Eckardt, Conrad Freuling, Thomas Müller, Thomas Selhorst
    03-06-2015
    https://doi.org/10.4081/gh.2015.313
    2989
    PDF: 1323
    HTML: 1215
  • Spatial analysis of the regional variation of hypertensive disease mortality and its socio-economic correlates in South Korea

    Seong-Yong Park, Jin-Mi Kwak, Eun-Won Seo, Kwang-Soo Lee
    31-05-2016
    https://doi.org/10.4081/gh.2016.420
    3187
    PDF: 1856
    HTML: 1385
  • 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
    4545
    PDF: 2123
    HTML: 585
  • 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
    11199
    PDF: 2690
    Appendix: 423
    HTML: 409
  • Transmissibility of the highly pathogenic avian influenza virus, subtype H5N1 in domestic poultry: a spatio-temporal estimation at the global scale

    Zhijie Zhang, Dongmei Chen, Michael P. Ward, Qingwu Jiang
    135-143
    01-11-2012
    https://doi.org/10.4081/gh.2012.112
    1738
    PDF: 1062
  • Typhoid fever in Jakarta, Indonesia 2017-2023: spatial clustering and seasonality of hospitalization data to inform better intervention

    Mujiyanto Mujiyanto, Basuki Rachmat, Aris Yulianto, Made Agus Nurjana, Wawan Ridwan, Endang Puji Astuti, Doni Lasut, Pandji Wibawa Dhewantara
    15-05-2025
    https://doi.org/10.4081/gh.2025.1372
    3383
    PDF: 1451
    HTML: 717
  • 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
    4153
    PDF: 1629
    HTML: 214
  • Spatial autocorrelation pattern of COVID-19 vaccine coverage in Thailand 2021 and 2022

    Sarayu Muntaphan, Kittipong Sornlorm
    13-05-2025
    https://doi.org/10.4081/gh.2025.1368
    1768
    PDF: 456
    HTML: 76
  • 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
    1907
    PDF: 951
    HTML: 103
  • Reduction of latency in geospatial analysis of air quality: a classical modelling approach inspired by quantum principles

    Hooshang Eivazy
    01-07-2026
    https://doi.org/10.4081/gh.2026.1409
    201
    PDF: 80
    Supplementary Materials: 33
    HTML: 3
  • 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
    6011
    PDF: 2318
    HTML: 1163
  • 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
    3563
    PDF: 1149
    Supplementary Materials: 606
    HTML: 263
  • 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
    349
    PDF: 199
    Supplementary Materials: 44
    HTML: 6
  • Venomous snakebite risk and its implications in Zacatecas State, Mexico 2007-2017

    Jesús Lenin Lara-Galván, Manuel Montesino-San Martín, Xabier Herrero Otero, Juan Felipe Martínez-Montoya, José Jesús Sigala-Rodríguez, Ana Márcia Barbosa
    05-11-2025
    https://doi.org/10.4081/gh.2025.1404
    1056
    PDF: 438
    Supplementary materials: 149
    HTML: 12
  • 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
    1902
    PDF: 1034
    Appendix: 166
    HTML: 85
  • 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
    3262
    PDF: 998
    HTML: 127
  • 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
    1523
    PDF: 668
    HTML: 45
  • The effects of population mobility on Chinese HIV epidemics in spill-over and influx risks perspectives: a spatial epidemiology analysis

    Yazhen Zhang, Hui Jin
    08-09-2025
    https://doi.org/10.4081/gh.2025.1384
    942
    PDF: 526
    Supplementary materials: 106
    HTML: 41
  • Comparing conditional autoregressive models for Bayesian spatial mapping of dengue cases in Indonesia

    Ferra Yanuar, Yudiantri Asdi, Aidinil Zetra, Sofiana Wudlu, Fenni Kurnia Mutiya, Rahmawita Rahmawita
    18-06-2026
    https://doi.org/10.4081/gh.2026.1443
    268
    PDF: 347
    HTML: 3
  • 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: 421
    Supplementary materials: 107
    HTML: 29
  • 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
    3125
    PDF: 1184
    HTML: 712
  • 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
    2843
    PDF: 660
    HTML: 74
  • Revealing spatio-temporal patterns of rabies spread among various categories of animals in the Republic of Kazakhstan, 2010-2013

    Sarsenbay K. Abdrakhmanov, Kanatzhan K. Beisembayev, Fedor I. Кorennoy, Gulzhan N. Yessembekova, Dosym B. Кushubaev, Ablaikhan S. Кadyrov
    31-05-2016
    https://doi.org/10.4081/gh.2016.455
    2572
    PDF: 1353
    HTML: 1303
  • 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
    1979
    PDF: 944
  • 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
    1686
    PDF: 914
  • 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
  • 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
    1724
    PDF: 715
    HTML: 124
  • 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
    3325
    PDF: 1454
    HTML: 1047
  • Bayesian spatial modelling of contraception effects on fertility in Mexican municipalities in 2020

    Gerardo Núñez Medina
    17-05-2022
    https://doi.org/10.4081/gh.2022.1080
    1384
    PDF: 729
    HTML: 168
  • 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
    2923
    PDF: 1018
    Supplementary Materials: 395
    HTML: 144
  • Use of geocoding techniques for epidemiological surveillance in the Federal District, Brazil: a case study using dengue

    Lucas Sanglard, Klauss K. S. Garcia, Walter Massa Ramalho
    02-09-2025
    https://doi.org/10.4081/gh.2025.1403
    1077
    PDF: 378
    HTML: 72
  • 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
    2502
    PDF: 832
    HTML: 905
  • Spatio-temporal analysis and visualisation of the anthrax epidemic situation in livestock in Kazakhstan over the period 1933-2016

    Sarsenbay K. Abdrakhmanov, Yersyn Y. Mukhanbetkaliyev, Fedor I. Korennoy, Bolat Sh. Karatayev, Aizada A. Mukhanbetkaliyeva, Aruzhan S. Abdrakhmanova
    13-11-2017
    https://doi.org/10.4081/gh.2017.589
    3992
    PDF: 1477
    HTML: 942
  • 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
    3850
    PDF: 1488
    HTML: 881
  • Geospatial tools and data for health service delivery: opportunities and challenges across the disaster management cycle

    Fleur Hierink, Nima Yaghmaei, Mirjam I. Bakker, Nicolas Ray, Marc van den Homberg
    29-10-2024
    https://doi.org/10.4081/gh.2024.1284
    6658
    PDF: 924
    Supplementary Materials: 305
    HTML: 128
  • Urbanisation and its effect on risk factors associated with childhood diarrhoea in Mbour, Senegal: A visualisation

    Sokhna Thiam, Samuel Fuhrimann, Aminata Niang-Diène, Ibrahima Sy, Ousmane Faye, Jürg Utzinger, Guéladio Cissé
    27-11-2017
    https://doi.org/10.4081/gh.2017.632
    2681
    PDF: 1080
    VIDEO: 0
    HTML: 908
  • 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
    412
    PDF: 319
    HTML: 12
  • Application of decision tree for prediction of cutaneous leishmaniasis incidence based on environmental and topographic factors in Isfahan Province, Iran

    Roghieh Ramezankhani, Nooshin Sajjadi, Roya Nezakati Esmaeilzadeh, Seyed Ali Jozi, Mohammad Reza Shirzadi
    08-05-2018
    https://doi.org/10.4081/gh.2018.664
    1895
    PDF: 1076
    HTML: 178
  • Modelling geographical heterogeneity of diabetes prevalence and socio-economic and built environment determinants in Saudi City - Jeddah

    Abdulkader Murad, Fazlay Faruque, Ammar Naji, Alok Tiwari, Mansour Helmi, Ammar Dahlan
    16-05-2022
    https://doi.org/10.4081/gh.2022.1072
    2320
    PDF: 1152
    HTML: 168
  • 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
    3059
    PDF: 1233
    HTML: 958
  • 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
    2300
    PDF: 771
    HTML: 140
  • 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
    4017
    PDF: 1813
    HTML: 1217
  • 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
    3425
    PDF: 1570
    HTML: 1494
  • 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
    1998
    PDF: 1051
    HTML: 73
  • 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
    3546
    PDF: 1554
    HTML: 1519
  • 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
    2161
    PDF: 1253
    Appendix: 189
    HTML: 234
  • Access to the COVID-19 services during the pandemic - a scoping review

    Ahmad Raeesi, Behzad Kiani, Azam Hesami, Ladan Goshayeshi, Neda Firouraghi, Shahab MohammadEbrahimi, Soheil Hashtarkhani
    28-03-2022
    https://doi.org/10.4081/gh.2022.1079
    2681
    PDF: 906
    Appendix: 366
    HTML: 132
  • 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
    1505
    PDF: 747
    HTML: 361
  • 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
    1625
    PDF: 520
    HTML: 104
  • 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: 1014
    APPENDIX: 599
    HTML: 1311
  • 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
    2538
    PDF: 625
    Supplementary 1: 188
    Supplementary 2: 409
    HTML: 181
  • Diabetes prevalence in the state of Alabama: identifying the risk factors

    Kwaku Karikari Manu, Seth Appiah-Opoku
    31-03-2026
    https://doi.org/10.4081/gh.2026.1465
    767
    PDF: 286
    HTML: 12
  • Perceived spatial stigma, body mass index and blood pressure: a global positioning system study among low-income housing residents in New York City

    Dustin T. Duncan, Ryan R. Ruff, Basile Chaix, Seann D. Regan, James H. Williams, Joseph Ravenell, Marie A. Bragg, Gbenga Ogedegbe, Brian Elbel
    31-05-2016
    https://doi.org/10.4081/gh.2016.399
    4309
    PDF: 2059
    HTML: 1509
  • Spatio-temporal cluster detection of chickenpox in Valencia, Spain in the period 2008-2012

    Adina Iftimi, Francisco Martínez-Ruiz, Ana Míguez Santiyán, Francisco Montes
    18-05-2015
    https://doi.org/10.4081/gh.2015.341
    3200
    PDF: 1462
    HTML: 1208
  • Spatial analysis of bluetongue cases and vaccination of Swiss cattle in 2008 and 2009

    Katriina J. E. Willgert, Birgit Schroedle, Heinzpeter Schwermer
    227-237
    01-05-2011
    https://doi.org/10.4081/gh.2011.175
    1545
    PDF: 1115
  • Optimizing vaccination sites for infectious diseases based on heterogeneous travel modes in multiple scenarios

    Wentao Yang, Fengjie Wang, Yihan You, Zhixiong Fang, Xing Wang, Xiaoming Mei
    24-03-2025
    https://doi.org/10.4081/gh.2025.1362
    2052
    PDF: 502
    HTML: 109
  • Impact of climate change and man-made irrigation systems on the transmission risk, long-term trend and seasonality of human and animal fascioliasis in Pakistan

    Kiran Afshan, Cesar A. Fortes-Lima, Patricio Artigas, M. Adela Valero, Mazhar Qayyum, Santiago Mas-Coma
    317-334
    01-05-2014
    https://doi.org/10.4081/gh.2014.22
    27373
    PDF: 2658
  • 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
    4467
    PDF: 1730
    HTML: 1072
  • 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
    4116
    PDF: 1911
    HTML: 798
  • Province clustering based on the percentage of communicable disease using the BCBimax biclustering algorithm

    Muhammad Nur Aidi, Cynthia Wulandari, Sachnaz Desta Oktarina, Taufiqur Rakhim Aditra, Fitrah Ernawati, Efriwati Efriwati, Nunung Nurjanah, Rika Rachmawati, Elisa Diana Julianti, Dian Sundari, Fifi Retiaty, Aya Yuriestia Arifin, Rita Marleta Dewi, Nazarina Nazaruddin, Salimar Salimar, Noviati Fuada, Yekti Widodo, Budi Setyawati, Nuzuliyati Nurhidayati, Sudikno Sudikno, Irlina Raswanti Irawan, Widoretno Widoretno
    12-09-2023
    https://doi.org/10.4081/gh.2023.1202
    1926
    PDF: 1008
    HTML: 125
  • 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: 908
    HTML: 91
  • 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
    6675
    PDF: 2126
    HTML: 2211
  • 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
    1316
    PDF: 1082
    HTML: 98
  • 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
    2631
    PDF: 1012
    HTML: 16
  • A spatiotemporal analysis of the impact of the COVID-19 outbreak on noise pollution in Tehran, Iran

    Omid Reza Abbasi, Yasser Ebrahimian Ghajari , Ali Asghar Alesheikh
    29-11-2022
    https://doi.org/10.4081/gh.2022.1114
    1035
    PDF: 922
    HTML: 22
  • Spatio-temporal variations and determinants of antenatal care utilization among adolescents in Bulawayo metropolitan area, Zimbabwe: an analysis of routine data, 2019-2024

    Tariroyashe Chivanganye, Maphios Siamuchembu, Alice Gumbo, Lenka Beňová, Peter M. Macharia
    11-12-2025
    https://doi.org/10.4081/gh.2025.1434
    640
    PDF: 551
    HTML: 58
  • 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
    11071
    PDF: 4602
    HTML: 2248
  • 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: 438
    HTML: 44
  • There is more to satellite imagery than meets the eye

    Robert Bergquist, John B. Malone
    31-05-2022
    https://doi.org/10.4081/gh.2022.1106
    2967
    PDF: 710
    HTML: 34
  • Global spreading of Omicron variant of COVID-19

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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

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Geospatial Health

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