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  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: 1151

  HTML: 168
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  Geospatial assessment of primary healthcare centres in Jeddah, Saudi Arabia

  Abdulkader A. Murad, Mohaimin Azmain

  26-02-2026

  https://doi.org/10.4081/gh.2026.1463

  832

  PDF: 436

  HTML: 15
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  Place and health infrastructure in the Gulf Cooperation Council: A systematic scoping review of GIS applications in health

  Dari Alhuwail, Saad AlSharrah, Neil T Coffee, Faisal H Al-Refaei, Mark Daniel

  29-12-2020

  https://doi.org/10.4081/gh.2020.887

  3255

  PDF: 1211

  HTML: 81
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  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

  1503

  PDF: 746

  HTML: 361

• 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

  3682

  PDF: 2422

• 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

  2125

  PDF: 1365

• 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

  3159

  PDF: 1492
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  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

  2134

  PDF: 1271

  HTML: 298
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  A qualitative geographical information system interpretation of mobility and COVID-19 pandemic intersection in Uttar Pradesh, India

  Alok Tiwari, Mohammed Aljoufie

  11-03-2021

  https://doi.org/10.4081/gh.2021.911

  3167

  PDF: 1137

  HTML: 86

• Assessing the risk for dengue fever based on socioeconomic and environmental variables in a geographical information system environment

  Hassan M. Khormi, Lalit Kumar

  171-176

  01-05-2012

  https://doi.org/10.4081/gh.2012.135

  3697

  PDF: 1481
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  Using the location-allocation P-median model for optimising locations for health care centres in the city of Jeddah City, Saudi Arabia

  Abdulkader Murad, Fazlay Faruque , Ammar Naji, Alok Tiwari

  19-10-2021

  https://doi.org/10.4081/gh.2021.1002

  2908

  PDF: 1615

  HTML: 1124
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  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

  2396

  PDF: 800

  HTML: 89

• Dynamic location model for designated COVID-19 hospitals in China

  Wang Fei, Yuan Linghong, Zhang Weigang, Zhang Ruihan

  29-10-2024

  https://doi.org/10.4081/gh.2024.1310

  1321

  PDF: 468

  Supplementary Materials: 299

  HTML: 82
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  Identification and analysis of spatial access disparities related to primary healthcare in Batna City, Algeria

  Ahmed Akakba, Belkacem Lahmar

  14-12-2023

  https://doi.org/10.4081/gh.2023.1238

  2271

  PDF: 1417

  HTML: 53
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  The influence of urban heat islands and socioeconomic factors on the spatial distribution of Aedes aegypti larval habitats

  Thiago S. de Azevedo, Brian Patrick Bourke, Rafael Piovezan, Maria Anice M. Sallum

  08-05-2018

  https://doi.org/10.4081/gh.2018.623

  3289

  PDF: 1588

  HTML: 597
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  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

  2157

  PDF: 1253

  Appendix: 189

  HTML: 234
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  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

  766

  PDF: 286

  HTML: 12
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  Space-time scan statistics of 2007-2013 dengue incidence in Cimahi city, Indonesia

  Pandji Wibawa Dhewantara, Andri Ruliansyah, M. Ezza Azmi Fuadiyah, Endang Puji Astuti, Mutiara Widawati

  27-11-2015

  https://doi.org/10.4081/gh.2015.373

  5503

  PDF: 2102

  HTML: 1041
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  Asthmatic symptoms and air pollution: a panel study on children living in the Italian Po Valley

  Andrea Ranzi, Anna Freni Sterrantino, Francesco Forastiere, Claudio Sartini, Giovanna Casale, Rino Cavallini, Aldo De Togni, Lorenza Gallo, Paolo Lauriola

  26-11-2015

  https://doi.org/10.4081/gh.2015.366

  3585

  PDF: 1662

  HTML: 1256