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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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  • Remote sensing and climate data as a key for understanding fasciolosis transmission in the Andes: review and update of an ongoing interdisciplinary project

    Márius V. Fuentes
    59-70
    01-11-2006
    https://doi.org/10.4081/gh.2006.281
    2017
    PDF: 1184
  • Spatial patterns of intestinal parasite infections among children and adolescents in some indigenous communities in Argentina

    Carlos Matías Scavuzzo, Micaela Natalia Campero, Rosana Elizabeth Maidana, María Georgina Oberto, María Victoria Periago, Ximena Porcasi
    28-05-2024
    https://doi.org/10.4081/gh.2024.1279
    3028
    PDF: 1029
    HTML: 94
  • Geographical distribution and spatio-temporal patterns of hospitalization due to dengue infection at a leading specialist hospital in Malaysia

    Gary K.K. Low, Panayoti Papapreponis, Ridzuan M. Isa, Seng Chiew Gan, Hui Yee Chee, Kian Keong Te, Nadia M. Hatta
    07-05-2018
    https://doi.org/10.4081/gh.2018.642
    2573
    PDF: 1106
    APPENDIX: 486
    HTML: 130
  • Geographic distribution and demographic factors associated with use of a long-acting reversible contraceptive (LARC) in Ethiopia

    Mintesnot Tenkir Teni, Travis Loux, Ness Sandoval, Anne Sebert Kuhlmann
    23-01-2025
    https://doi.org/10.4081/gh.2025.1302
    3923
    PDF: 1441
    HTML: 1158
  • 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
    2094
    PDF: 1058
    HTML: 65
  • Comparison of the spatial patterns of schistosomiasis in Zimbabwe at two points in time, spaced twenty-nine years apart: is climate variability of importance?

    Ulrik B. Pedersen, Dimitrios-Alexios Karagiannis-Voules, Nicholas Midzi, Tkafira Mduluza, Samson Mukaratirwa, Rasmus Fensholt, Birgitte J. Vennervald, Thomas K. Kristensen, Penelope Vounatsou, Anna-Sofie Stensgaard
    08-05-2017
    https://doi.org/10.4081/gh.2017.505
    3629
    PDF: 1736
    HTML: 1050
  • 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
  • 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
    3472
    PDF: 1553
    HTML: 857
  • Risk mapping and estimation of COVID-19 transmission in South Sulawesi, Indonesia by a self-identification survey

    Andang Suryana Soma, Andi Alfian Zainuddin, Shanti Riskiyani, Nurhaya Nurdin, Muhammad Firdaus Kasim, Joko Hendarto, Masriadi
    18-03-2022
    https://doi.org/10.4081/gh.2022.1034
    2295
    PDF: 636
    HTML: 75
  • Estimating malaria burden in Nigeria: a geostatistical modelling approach

    Nnadozie Onyiri
    04-11-2015
    https://doi.org/10.4081/gh.2015.306
    7946
    PDF: 3327
    HTML: 3290
  • Future malaria spatial pattern based on the potential global warming impact in South and Southeast Asia

    Hassan M. Khormi, Lalit Kumar
    21-11-2016
    https://doi.org/10.4081/gh.2016.416
    5621
    PDF: 2745
    HTML: 2002
  • 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
    4469
    PDF: 1730
    HTML: 1072
  • 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
    3987
    PDF: 1300
    HTML: 48
  • On the geographic access to healthcare, beyond proximity

    Songyuan Deng, Kevin Bennett
    28-09-2023
    https://doi.org/10.4081/gh.2023.1199
    2837
    PDF: 1032
    HTML: 114
  • 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
    1729
    PDF: 716
    HTML: 124
  • Spatial comparison of London’s three waves of Spanish flu

    Walter Peterson
    19-10-2023
    https://doi.org/10.4081/gh.2023.1235
    1655
    PDF: 790
    HTML: 656
  • Evaluation of household knowledge, attitudes and practices concerning malaria in the city of Djibouti

    Osman Abdillahi Guedi, Yao Télesphore Brou, Eric Delmelle, Sébastien Briolant
    16-06-2026
    https://doi.org/10.4081/gh.2026.1451
    614
    PDF: 205
    Supplementary materials: 64
    HTML: 5
  • A comparison of temporal and location-based sampling strategies for global positioning system-triggered electronic diaries

    Tobias Törnros, Helen Dorn, Markus Reichert, Ulrich Ebner-Priemer, Hans-Joachim Salize, Heike Tost, Andreas Meyer-Lindenberg, Alexander Zipf
    21-11-2016
    https://doi.org/10.4081/gh.2016.473
    6282
    PDF: 1595
    HTML: 983
  • Spatial association between COVID-19 incidence rate and nighttime light index

    Amornrat Luenam, Nattapong Puttanapong
    18-03-2022
    https://doi.org/10.4081/gh.2022.1066
    2485
    PDF: 774
    HTML: 102
  • Validation of a spatial liver fluke model under field conditions in Ireland

    Amalia Naranjo Lucena, María Pía Munita Corbalán, Ana María Martínez-Ibeas, Guy McGrath, Riona Sayers, Grace Mulcahy, Annetta Zintl
    07-05-2018
    https://doi.org/10.4081/gh.2018.641
    2526
    PDF: 1130
    HTML: 192
  • Spatial distribution and risk factors of influenza in Jiangsu province, China, based on geographical information system

    Jia-Cheng Zhang, Wen-Dong Liu, Qi Liang, Jian-Li Hu, Jessie Norris, Ying Wu, Chang-Jun Bao, Fen-Yang Tang, Peng Huang, Yang Zhao, Rong-Bin Yu, Ming-Hao Zhou, Hong-Bing Shen, Feng Chen, Zhi-Hang Peng
    429-435
    01-05-2014
    https://doi.org/10.4081/gh.2014.31
    3386
    PDF: 1490
  • Accounting for autocorrelation in multi-drug resistant tuberculosis predictors using a set of parsimonious orthogonal eigenvectors aggregated in geographic space

    Benjamin G. Jacob, Fiorella Krapp, Mario Ponce, Eduardo Gotuzzo, Daniel A. Griffith, Robert J. Novak
    201-217
    01-05-2010
    https://doi.org/10.4081/gh.2010.201
    1860
    PDF: 1125
  • Environmental determinants of the distribution of Chagas disease vectors in south-eastern Guatemala

    Dulce Maria Bustamante, Maria Carlota Monroy, Antonieta Guadalupe Rodas, Jaime Abraham Juarez, John B. Malone
    199-211
    01-05-2007
    https://doi.org/10.4081/gh.2007.268
    3700
    PDF: 1146
  • 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
    3431
    PDF: 1801
  • 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: 1054
    HTML: 73
  • 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
    1895
    PDF: 1070
    Supplementary Materials: 184
    HTML: 111
  • 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
    4548
    PDF: 2033
    APPENDIX 1: 490
    APPENDIX 2: 517
    HTML: 1654
  • Spatial analysis of the relationship between out-of-pocket expenditure and socioeconomic status in South Korea

    Young-Gyu Kwon, Man-Kyu Choi
    25-05-2023
    https://doi.org/10.4081/gh.2023.1175
    1670
    PDF: 899
    HTML: 63
  • Spatial analysis of the AIDS mortality rate among young people in a province of the Brazilian Amazon: An ecological study

    Sara Melissa Lago Sousa, Andrey Oeiras Pedroso , Iaron Leal Seabra , Glenda Roberta Oliveira Naiff Ferreira, Aline Maria Pereira Cruz Ramos , Sandra Helena Isse Polaro, Eliã Pinheiro Botelho
    29-11-2022
    https://doi.org/10.4081/gh.2022.1102
    1234
    PDF: 1009
    HTML: 23
  • Remote sensing for predicting potential habitats of Oncomelania hupensis in Hongze, Baima and Gaoyou lakes in Jiangsu province, China

    Guo-Jing Yang, Penelope Vounatsou, Marcel Tanner, Xiao-Nong Zhou, Jürg Utzinger
    85-92
    01-11-2006
    https://doi.org/10.4081/gh.2006.283
    2821
    PDF: 1259
  • Association of city-level walkability, accessibility to biking and public transportation and socio-economic features with COVID-19 infection in Massachusetts, USA: An ecological study

    Yucheng Wang, Thomas C. Tsai, Dustin T. Duncan, John Ji
    14-01-2022
    https://doi.org/10.4081/gh.2022.1017
    5952
    PDF: 1237
    Appendix: 512
    HTML: 57
  • Spatial epidemiology and meteorological risk factors of COVID-19 in Fars Province, Iran

    Marjan Zare, Ali Semati, Alireza Mirahmadizadeh, Abdulrasool Hemmati, Mostafa Ebrahimi
    08-06-2022
    https://doi.org/10.4081/gh.2022.1065
    1238
    PDF: 662
    HTML: 48
  • 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
    1399
    PDF: 693
    HTML: 62
  • 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
    3387
    PDF: 1453
    HTML: 717
  • Healthcare-seeking behavior and spatial variation of internal migrants with chronic diseases: a nationwide empirical study in China

    Dan Li, Dawei Gao, Masaaki Yamada, Chuangbin Chen, Liuchun Xiang, Haisong Nie
    28-05-2024
    https://doi.org/10.4081/gh.2024.1255
    3087
    PDF: 855
    HTML: 117
  • 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
    2482
    PDF: 1759
    APPENDIX: 682
    HTML: 1058
  • Point process methods in epidemiology: application to the analysis of human immunodeficiency virus/acquired immunodeficiency syndrome mortality in urban areas

    Jose Antonio Quesada, Inmaculada Melchor, Andreu Nolasco
    26-05-2017
    https://doi.org/10.4081/gh.2017.506
    1960
    PDF: 1068
    HTML: 1070
  • 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
  • Impact of climate variability on the occurrence of cutaneous leishmaniasis in Khuzestan Province, southwestern Iran

    Farideh Azimi, Sadegh Shirian, Saranaz Jangjoo, Arman Ai, Tahereh Abbasi
    08-05-2017
    https://doi.org/10.4081/gh.2017.478
    3205
    PDF: 1522
    HTML: 1081
  • 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: 909
    HTML: 91
  • 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
    2504
    PDF: 832
    HTML: 905
  • Bayesian spatial Durbin modelling of stunting prevalence across Indonesian districts

    Ferra Yanuar, Yudiantri Asdi, Sandi Sandi, Aidinil Zetra, Fenni Kurnia Mutiya, Ade Suzana Eka Putri
    25-05-2026
    https://doi.org/10.4081/gh.2026.1441
    473
    PDF: 205
    HTML: 11
  • 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
    769
    PDF: 286
    HTML: 12
  • 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
    6016
    PDF: 2320
    HTML: 1163
  • Japan Aerospace Exploration Agency's public-health monitoring and analysis platform: A satellite-derived environmental information system supporting epidemiological study

    Kei Oyoshi, Yosei Mizukami, Ryosuke Kakuda, Yusuke Kobayashi, Hiroki Kai, Takeo Tadono
    14-05-2019
    https://doi.org/10.4081/gh.2019.717
    2053
    PDF: 1081
    HTML: 108
  • A spatio-temporal study of state-wide case-fatality risks during the first wave of the COVID-19 pandemic in Mexico

    Ricardo Ramìrez-Aldana , Juan Carlos Gomez-Verjan, Omar Yaxmehen Bello-Chavolla , Lizbeth Naranjo
    24-03-2022
    https://doi.org/10.4081/gh.2022.1054
    1732
    PDF: 555
    Appendix: 281
    HTML: 49
  • Global Mpox spread due to increased air travel

    Huijie Qiao, Paanwaris Paansri, Luis E. Escobar
    11-06-2024
    https://doi.org/10.4081/gh.2024.1261
    2587
    PDF: 915
    HTML: 263
  • Spatial and temporal clustering analysis of pulmonary tuberculosis and its associated risk factors in southwest China

    Jianjiao Wang, Xiaoning Liu, Zhengchao Jing, Jiawai Yang
    25-05-2023
    https://doi.org/10.4081/gh.2023.1169
    1326
    PDF: 989
    HTML: 41
  • Impacts of sample ratio and size on the performance of random forest model to predict the potential distribution of snail habitats

    Yuanhua Liu, Jun Zhang, Michael P. Ward, Wei Tu, Lili Yu, Jin Shi, Yi Hu, Fenghua Gao, Zhiguo Cao, Zhijie Zhang
    03-07-2023
    https://doi.org/10.4081/gh.2023.1151
    2210
    PDF: 1006
    Supplementary Materials: 188
    HTML: 73
  • Quantifying human-environment interactions using videography in the context of infectious disease transmission

    Timothy R. Julian, Carla Bustos, Laura H. Kwong, Alejandro D. Badilla, Julia Lee, Heather N. Bischel, Robert A. Canales
    08-05-2018
    https://doi.org/10.4081/gh.2018.631
    2545
    PDF: 1083
    Video: 0
    HTML: 106
  • Investigation of landscape risk factors for the recent spread of varroa mite (Varroa destructor) in European honeybee (Apis mellifera) colonies in New South Wales, Australia

    Emily Phaboutdy, Michael Ward
    04-07-2024
    https://doi.org/10.4081/gh.2024.1282
    2629
    PDF: 855
    HTML: 43
  • 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
    943
    PDF: 528
    Supplementary materials: 106
    HTML: 41
  • 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
    889
    PDF: 437
    HTML: 11
  • Residential mobility impacts relative risk estimates of space-time clusters of chlamydia in Kalamazoo County, Michigan

    Claudio Owusu, Michael R. Desjardins, Kathleen M. Baker, Eric Delmelle
    06-11-2019
    https://doi.org/10.4081/gh.2019.812
    2074
    PDF: 1122
    HTML: 48
  • Space-time cluster analysis of anemia in pregnant women in the province of Khyber Pakhtunkhwa, Pakistan (2014-2020)

    Sami Ullah, SM Aqil Burney, Tariq Rasheed, Shamaila Burney, Mushtaq Ahmad Khan Barakzia
    05-10-2023
    https://doi.org/10.4081/gh.2023.1192
    1253
    PDF: 849
    HTML: 57
  • Effects of weather and landscape on the equine West Nile virus infection risk in Mississippi, USA

    Guiming Wang
    04-11-2015
    https://doi.org/10.4081/gh.2015.357
    2234
    PDF: 1454
    HTML: 960
  • 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
    1576
    PDF: 673
    HTML: 114
  • 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
    2059
    PDF: 933
    HTML: 117
  • 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
    2162
    PDF: 1253
    Appendix: 189
    HTML: 234
  • Disparities in COVID-19 health outcomes among different sub-immigrant groups in the US - a study based on the spatial Durbin model

    Jihoon Jung, Yoonjung Ahn, Joseph Bommarito
    18-03-2022
    https://doi.org/10.4081/gh.2022.1064
    1886
    PDF: 517
    Appendix: 351
    HTML: 20
  • 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
    630
    PDF: 299
    HTML: 7
  • 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
    5949
    PDF: 2034
    HTML: 516
  • Understanding how distance to facility and quality of care affect maternal health service utilization in Kenya and Haiti: A comparative geographic information system study

    Xing Gao, David Wayne Kelley
    14-05-2019
    https://doi.org/10.4081/gh.2019.690
    4955
    PDF: 2649
    HTML: 428
  • American cutaneous leishmaniasis cases in the metropolitan region of Manaus, Brazil: association with climate variables over time

    Rodrigo Augusto Ferreira de Souza, Rita Valéria Andreoli, Mary Toshie Kayano, Afrânio Lima Carvalho
    18-05-2015
    https://doi.org/10.4081/gh.2015.314
    3165
    PDF: 1609
    HTML: 843
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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

Keywords

Geospatial Health

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