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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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  • 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
    2493
    PDF: 1040
    HTML: 131
  • Dynamic effect of economic growth on the persistence of suicide rates

    Tzu-Yi Yang, Yu-Tai Yang, Ssu-Han Chen, Yu-Ting Lan, Chia-Jui Peng
    25-05-2023
    https://doi.org/10.4081/gh.2023.1201
    1114
    PDF: 819
    HTML: 83
  • 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
    1707
    PDF: 736
    HTML: 44
  • 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
    2097
    PDF: 1059
    HTML: 65
  • 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
  • Dengue risk-mapping in an Amazonian locality in Colombia based on regression and multi-criteria analysis

    Maria Camila Lesmes , Alvaro Ávila-Díaz, Erika Santamaría, Carlos Andrés Morales , Horacio Cadena, Patricia Fuya, Nicolas Frutos, Ximena Porcasi, Catalina Marceló-Díaz
    04-06-2025
    https://doi.org/10.4081/gh.2025.1292
    2066
    PDF: 550
    HTML: 66
  • A descriptive and model-based spatial comparison of the standardised mortality ratio and the age-standardised mortality rate

    Sibylle Sturtz, Katja Ickstadt
    255-266
    01-05-2007
    https://doi.org/10.4081/gh.2007.273
    1683
    PDF: 1046
  • Spatiotemporal analysis of the relationship between socioeconomic factors and stroke in the Portuguese mainland population under 65 years old

    André Oliveira, Antònio J.R. Cabral, Jorge M. Mendes, Maria R.O. Martins, Pedro Cabral
    04-11-2015
    https://doi.org/10.4081/gh.2015.365
    3414
    PDF: 1524
    HTML: 1231
  • Flexible scan statistic with a restricted likelihood ratio for optimized COVID-19 surveillance

    Ernest Akyereko, Frank B. Osei, Kofi M. Nyarko, Alfred Stein
    26-11-2024
    https://doi.org/10.4081/gh.2024.1265
    1062
    PDF: 383
    Supplementary Materials: 167
    HTML: 32
  • 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
    2641
    PDF: 1137
  • Spatio-temporal distribution characteristics of cysticercosis from 2000 to 2014 in Dali, Yunnan province, China.

    Huanzhang Li, Xinzhong Zang, Xiaokang Hu, Eniola Michael Abe, Menbao Qian, Jingbo Xue, Yingdan Chen, Changhai Zhou, Yuhua Liu, Shizhu Li
    29-12-2020
    https://doi.org/10.4081/gh.2020.815
    1572
    HTML: 46
    PDF: 705
  • Mapping and modelling helminth infections in ruminants in Europe: experience from GLOWORM

    Laura Rinaldi, Guy Hendrickx, Giuseppe Cringoli, Annibale Biggeri, Els Ducheyne, Dolores Catelan, Eric Morgan, Diana Williams, Johannes Charlier, Georg von Samson-Himmelstjerna, Jozef Vercruysse
    257-259
    19-03-2015
    https://doi.org/10.4081/gh.2015.347
    2950
    PDF: 1652
  • Spatial association of public sports facilities with body mass index in Korea

    Eun Jin Han, Kiyeon Kang, So Young Sohn
    07-05-2018
    https://doi.org/10.4081/gh.2018.542
    2634
    PDF: 1176
    HTML: 114
  • 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: 901
    HTML: 63
  • The spatial distribution of interleukin-4 (IL-4) reference values in China based on a back propagation (BP) neural network

    Zhao Rong Huang, Miao Ge, Xin Rui Pang, Pu Song, Congxia Wang
    13-09-2023
    https://doi.org/10.4081/gh.2023.1197
    1445
    PDF: 657
    HTML: 27
  • 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
    1572
    PDF: 351
    HTML: 61
  • Spatial autocorrelation patterns and factors associated with regular alcohol consumption behaviour among Thai men

    Naowarat Maneenin, Warangkana Sungsitthisawad, Chanwit Maneenin, Chananya Jirapornkul, Kittipong Sornlorm, Roshan Kumar Mahato, Wongsa Laohasiriwong
    26-09-2025
    https://doi.org/10.4081/gh.2025.1406
    832
    PDF: 524
    HTML: 30
  • Epidemiological characteristics and determination of spatio-temporal clusters during the 2013 dengue outbreak in Chiang Mai, Thailand

    Veerasak Punyapornwithaya, Chalutwan Sansamur, Arisara Charoenpanyanet
    29-12-2020
    https://doi.org/10.4081/gh.2020.857
    1924
    PDF: 884
    HTML: 21
  • Measuring high-density built environment for public health research: Uncertainty with respect to data, indicator design and spatial scale

    Guibo Sun, Chris Webster, Michael Y. Ni, Xiaohu Zhang
    07-05-2018
    https://doi.org/10.4081/gh.2018.653
    2684
    PDF: 1554
    HTML: 239
  • Geographic clustering of elderly people with above-norm anthropometric measurements and blood chemistry

    Carlos Mena, Eduardo Fuentes, Yony Ormazábal, Iván Palomo
    11-05-2017
    https://doi.org/10.4081/gh.2017.523
    3023
    PDF: 1386
    HTML: 895
  • 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
    2375
    PDF: 1683
    HTML: 154
  • 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
    270
    PDF: 349
    HTML: 3
  • Making the most of spatial information in health: a tutorial in Bayesian disease mapping for areal data

    Su Yun Kang, Susanna M. Cramb, Nicole M. White, Stephen J. Ball, Kerrie L. Mengersen
    31-05-2016
    https://doi.org/10.4081/gh.2016.428
    7605
    PDF: 2639
    APPENDIX: 1217
    HTML: 5552
  • 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
    2893
    PDF: 1536
  • 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
    2214
    PDF: 1007
    Supplementary Materials: 188
    HTML: 74
  • 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
    2601
    PDF: 1044
    HTML: 145
  • 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
    1918
    PDF: 893
    HTML: 25
  • Public domain small-area cancer incidence data for New York State, 2005-2009

    Francis P. Boscoe, Thomas O. Talbot, Martin Kulldorff
    18-04-2016
    https://doi.org/10.4081/gh.2016.304
    2275
    PDF: 1304
    HTML: 870
  • 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
    4002
    PDF: 1977
    HTML: 2264
  • Evaluation and control strategy analysis of influenza cases in Jiujiang City, Jiangxi Province, China from 2018 to 2022

    Zhang Zeng, Huomei Xiong
    09-10-2024
    https://doi.org/10.4081/gh.2024.1294
    1233
    PDF: 563
    HTML: 108
  • A geographical information system model to define COVID-19 problem areas with an analysis in the socio-economic context at the regional scale in the North of Spain

    Olga De Cos, Valentín Castillo-Salcines, David Cantarero-Prieto
    18-03-2022
    https://doi.org/10.4081/gh.2022.1067
    1999
    PDF: 694
    HTML: 50
  • Spatial variations of COVID-19 risk by age in Toronto, Canada

    Nushrat Nazia
    20-07-2022
    https://doi.org/10.4081/gh.2022.1100
    1298
    PDF: 613
    Appendix: 217
    HTML: 150
  • 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
    1948
    PDF: 817
    HTML: 85
  • The spatiotemporal dynamics and structural covariates of homicide in the Republic of Korea, 2008-2017: A dynamic spatial panel data approach

    Yunho Yeom, Jaehun Choi
    09-05-2022
    https://doi.org/10.4081/gh.2022.1040
    1288
    PDF: 827
    HTML: 44
  • 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: 776
    HTML: 102
  • 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
  • Local healthcare resources associated with unmet healthcare needs in South Korea: a spatial analysis

    Sang Min Lee, Dong Woo Huh, Young Gyu Kwon
    11-03-2025
    https://doi.org/10.4081/gh.2025.1295
    2489
    PDF: 850
    Supplementary materials: 237
    HTML: 123
  • Spatial accessibility to emergency care in Sichuan province in China

    Xuefeng Tang, Yufan Deng, Huazhen Yang, Fan Tian, Youping Li, Jay Pan
    29-12-2020
    https://doi.org/10.4081/gh.2020.891
    2593
    PDF: 1016
    HTML: 99
  • 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
    3852
    PDF: 1489
    HTML: 881
  • Assessing the spatial accessibility of hospital care in Sichuan Province, China

    Jay Pan, Huiran Liu, Xiuli Wang, Hongmei Xie, Paul L. Delamater
    27-11-2015
    https://doi.org/10.4081/gh.2015.384
    7200
    PDF: 2477
    HTML: 1665
  • Spatial distribution and predictive risk of perpetuation of non-typhoidal salmonellosis in poultry farms and human communities: meta-analysis of data from Nigeria

    Abdullahi O. Sanni , Annelize Jonker, Olatunji O. Johnson , Ezra Gayawan , Aminu Shittu , Olubunmi G. Fasanmi , Oluwawemimo A. Adebowale , Folorunso O. Fasina
    12-02-2026
    https://doi.org/10.4081/gh.2026.1316
    1372
    PDF: 637
    Supplementary Materials: 153
    HTML: 21
  • 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
    1524
    PDF: 672
    HTML: 47
  • Association of socioeconomic indicators with COVID-19 mortality in Brazil: a population-based ecological study

    João Batista Cavalcante Filho, Marco Aurélio de Oliveira Góes, Damião da Conceição Araújo, Marcus Valerius da Silva Peixoto, Marco Antônio Prado Nunes
    13-07-2023
    https://doi.org/10.4081/gh.2023.1206
    2127
    PDF: 941
    Supplementary Materials: 167
    HTML: 42
  • Prioritizing the location of vaccination centres during the COVID-19 pandemic by bike in the Netherlands

    Adel Al-Huraibi, Sherif Amer, Justine Blanford
    03-03-2025
    https://doi.org/10.4081/gh.2025.1293
    2401
    PDF: 805
    HTML: 89
  • Spatial patterns of the total mortality over the first 24 hours of life and that due to preventable causes

    Aline Beatriz dos Santos Silva, Ana Catarina de Melo Araújo, Amanda Priscila de Santana Cabral Silva, Mirella Bezerra Rodrigues Vilela, Cristine Vieira do Bonfim
    17-05-2022
    https://doi.org/10.4081/gh.2022.1051
    1297
    PDF: 715
    Appendix: 200
    HTML: 36
  • Moran’s I and Geary’s C: investigation of the effects of spatial weight matrices for assessing the distribution of infectious diseases

    Sarah Isnan, Ahmad Fikri bin Abdullah, Abdul Rashid Shariff, Iskandar Ishak, Sharifah Norkhadijah Syed Ismail, Maheshwara Rao Appanan
    07-04-2025
    https://doi.org/10.4081/gh.2025.1277
    2706
    PDF: 963
    Supplementary materials: 241
    HTML: 122
  • 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
    2573
    PDF: 1353
    HTML: 1303
  • 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: 458
    HTML: 76
  • Earth observation in support of malaria control and epidemiology: MALAREO monitoring approaches

    Jonas Franke, Michael Gebreslasie, Ides Bauwens, Julie Deleu, Florian Siegert
    03-06-2015
    https://doi.org/10.4081/gh.2015.335
    4790
    PDF: 1756
    HTML: 1224
  • Assessment of the supply/demand balance of medical resources in Beijing from the perspective of hierarchical diagnosis and treatment

    Yuehan Jiang, Xinyu Cai, Yanhui Wang, Junwu Dong, Mengqin Yang
    13-10-2023
    https://doi.org/10.4081/gh.2023.1228
    2002
    PDF: 1351
    HTML: 208
  • 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
    1057
    PDF: 438
    Supplementary materials: 150
    HTML: 12
  • Advanced analysis of depression tendency in China: an investigation of environmental and social factors based on geographical and temporal weighted regression

    Yanhong Xu, Zhilin Hong, Huimei Lin, Xiaofeng Huang
    21-07-2025
    https://doi.org/10.4081/gh.2025.1385
    1122
    PDF: 381
    HTML: 39
  • Reducing bias in risk indices for COVID-19

    Michał Paweł Michalak, Jack Cordes, Agnieszka Kulawik, Sławomir Sitek, Sławomir Pytel, Elżbieta Zuzańska-Żyśko, Radosław Wieczorek
    14-01-2022
    https://doi.org/10.4081/gh.2022.1013
    3200
    PDF: 660
    Appendix: 478
    HTML: 42
  • 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
    1903
    PDF: 1036
    Appendix: 166
    HTML: 85
  • 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
  • Metropolitan urban hotspots of chronic sleep deprivation: evidence from a community health survey in Gyeongbuk Province, South Korea

    Sun-Bi Um, Jung-Sup Um
    04-11-2015
    https://doi.org/10.4081/gh.2015.382
    3303
    PDF: 1558
    HTML: 1035
  • 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
    2844
    PDF: 668
    HTML: 74
  • 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: 425
    Supplementary materials: 107
    HTML: 29
  • 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
    6362
    PDF: 1350
    HTML: 320
  • A statistical approach to rank multiple priorities in Environmental Epidemiology: an example from high-risk areas in Sardinia, Italy

    Dolores Catelan, Annibale Biggeri
    81-89
    01-11-2008
    https://doi.org/10.4081/gh.2008.234
    1611
    PDF: 885
  • 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: 982
    HTML: 118
  • Smooth incidence maps give valuable insight into Q fever outbreaks in The Netherlands

    Wim van der Hoek, Jan van de Kassteele, Ben Bom, Arnout de Bruin, Frederika Dijkstra, Barbara Schimmer, Piet Vellema, Ronald ter Schegget, Peter M. Schneeberger
    127-134
    01-11-2012
    https://doi.org/10.4081/gh.2012.111
    2864
    PDF: 1507
  • One health review of recent Salmonella dynamics and human health outcomes in the United States

    Geoffrey Kangogo, Lavanya Sankaran, Mitesh Rajpurohit, Kate E. Trout
    11-12-2025
    https://doi.org/10.4081/gh.2025.1416
    998
    PDF: 764
    HTML: 120
  • 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
    4396
    PDF: 2351
    HTML: 133
  • 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
    618
    PDF: 205
    Supplementary materials: 64
    HTML: 5
  • Spatial correlates of COVID-19 first wave across continental Portugal

    Bruno Barbosa, Melissa Silva, César Capinha, Ricardo A.C. Garcia, Jorge Rocha
    23-06-2022
    https://doi.org/10.4081/gh.2022.1073
    1844
    PDF: 675
    HTML: 57
  • 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
    4097
    PDF: 1810
  • Accessibility evaluation of urban basic public service facilities for persons with disabilities: a case study of central Beijing

    Ying Sun, Xiangfeng Li, Zhizhe Sun, Weiyang Jia
    02-02-2026
    https://doi.org/10.4081/gh.2026.1460
    1095
    PDF: 624
    HTML: 75
  • Investigating spatiotemporal patterns of the COVID-19 in São Paulo State, Brazil

    Enner Alcântara, José Mantovani, Luiz Rotta, Edward Park, Thanan Rodrigues, Fernando Campos Carvalho, Carlos Roberto Souza Filho
    26-11-2020
    https://doi.org/10.4081/gh.2020.925
    4154
    PDF: 1435
    HTML: 34
  • 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
    4550
    PDF: 2034
    APPENDIX 1: 490
    APPENDIX 2: 517
    HTML: 1654
  • Landscape, demographic and climatic associations with human West Nile virus occurrence regionally in 2012 in the United States of America

    John P. DeGroote, Ramanathan Sugumaran, Mark Ecker
    153-168
    01-11-2014
    https://doi.org/10.4081/gh.2014.13
    2626
    PDF: 1406
  • The Labin Region, an ecologically vulnerable geographical area in Croatia: Mortality characteristics in an area polluted by industrial over a 40-year period

    Toni Buterin, Robert Doričić, Dalibor Broznić, Tanja Ćorić, Amir Muzur
    17-05-2022
    https://doi.org/10.4081/gh.2022.1082
    1321
    PDF: 737
    HTML: 100
  • 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
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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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