Showing 21 - 40 results of 440 for search '"spatial analysis"', query time: 0.06s Refine Results
  1. 21

    SPATIAL ANALYSIS OF RELATIONSHIP BETWEEN COVID-19 CASES AND GLOBALISATION IN EUROPE by Yılmaz Toktaş

    Published 2020-12-01
    “…In this study, it is suggested that, along with Covid-19’s distinctive abilities such as spreading rapidly, the fact that the world has become more mobile and integrated due to globalisation is considered to have an impact on the pandemic; thus, the effect of globalisation on Covid-19 cases in European countries was investigated through spatial analysis methods. The results of Moran’s I test carried out on Covid-19 cases in European countries suggest that there is positive autocorrelation. …”
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    Spatial analysis of socioeconomic data and its relationship with illicit crops in Nariño-Colombia. by Andrés Fernando Grajales-Marín, Fabio Humberto Sepúlveda-Murillo, Alex Tapia, Alexander Tabares

    Published 2025-01-01
    “…Grounded in conflict economics, social capital, and social marginalization theories, the research constructs composite indices representing education, health, public services, economic conditions, and vulnerability. Using spatial analysis, it identifies areas with heightened poverty and vulnerability and examines their relationship with illicit crops. …”
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    Geographic Information Systems, spatial analysis, and HIV in Africa: A scoping review. by Danielle C Boyda, Samuel B Holzman, Amanda Berman, M Kathyrn Grabowski, Larry W Chang

    Published 2019-01-01
    “…<h4>Introduction</h4>Geographic Information Systems (GIS) and spatial analysis are emerging tools for global health, but it is unclear to what extent they have been applied to HIV research in Africa. …”
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    Spatial analysis of metabolic syndrome among healthcare workers in a suburban area by Apriningsih Apriningsih, Ayu Arini Firlia, Meiyetriani Eflita

    Published 2025-01-01
    “…The study found high rates of high blood pressure (33.2%), high cholesterol levels (30.3%), and metabolic syndrome (40.7%), with 47.6% classified as obese. Spatial analysis revealed significant correlations between metabolic syndrome and obesity (p<0.05). …”
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