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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

  1735

  PDF: 830

  HTML: 133
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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

  2578

  PDF: 997

  HTML: 48
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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

  983

  PDF: 543

  HTML: 165

• 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

  3151

  PDF: 2022

• 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

  1882

  PDF: 1117

• 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

  2618

  PDF: 1289
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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

  1904

  PDF: 1029

  HTML: 273
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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

  2279

  PDF: 1149

  HTML: 826
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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

  2715

  PDF: 930

  HTML: 63

• 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

  3099

  PDF: 1215
• 

  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

  5142

  PDF: 1827

  HTML: 1017
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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

  3259

  PDF: 1448

  HTML: 1239
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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

  1744

  PDF: 490

  HTML: 78

• 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

  887

  PDF: 283

  Supplementary Materials: 136

  HTML: 70
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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

  1548

  PDF: 511

  HTML: 33
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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

  2731

  PDF: 1264

  HTML: 500
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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

  1380

  PDF: 972

  Appendix: 108

  HTML: 169