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    Potential of hazard mapping as a tool for facing COVID-19 transmission: the geo-COVID cartographic platform

    • Autor
      Perles-Roselló, María JesúsAutoridad Universidad de Málaga; Sortino-Barrionuevo, Juan FranciscoAutoridad Universidad de Málaga; Cantarero-Prados, Francisco JoséAutoridad Universidad de Málaga; Castro Noblejas, Hugo; De-la-Fuente-Roselló, Ana LuisaAutoridad Universidad de Málaga; Orellana Macías, José María; Reyes-Corredera, Sergio JesúsAutoridad Universidad de Málaga; Miranda-Páez, JesúsAutoridad Universidad de Málaga; Mérida-Rodríguez, Matías FranciscoAutoridad Universidad de Málaga
    • Fecha
      2021
    • Editorial/Editor
      Asociación Española de Geografía
    • Palabras clave
      Toma de decisiones
    • Resumen
      The present research analyses the epidemiological bases, the methodology approach and the utility of the Geo-Covid Cartographic Platform to face COVID-19 transmission at an intra-urban scale. Geo-Covid is based on the study of the main drawbacks and limitations of the current risk maps, and the proposed hazard mapping methodology is presented as an alternative approach with a high spatial-temporal accuracy. It is based on 1) the map of neighborhood active focuses of contagion, which are classified according to several hazard indexes, 2) the map of highly-transited areas by potential asymptomatic positives cases and 3) the map of Points of Maximum Risk of contagion. In order to test the effectiveness of the proposed methodology for mapping COVID-19 hazard and risk, it has been applied to Málaga City (Spain) during several stages of the epidemic in the city (2020 and 2021). The neighborhood focus of contagion is proposed as the basic spatial unit for the epidemiological diagnosis and the implementation of mitigation and control measures. After the analysis, it has been concluded that the proposed methodology, and thus, the maps included in the Geo-Covid Cartographic Platform allow a realistic and rigorous analysis of the spatial distribution of the epidemic in real-time.
    • URI
      https://hdl.handle.net/10630/29843
    • DOI
      https://dx.doi.org/10.21138/bage.3151
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    Ficheros
    3151-Texto del artículo-6434-1-10-20211211.pdf (3.942Mb)
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    Estadísticas

    REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
    REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
     

     

    REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA
    REPOSITORIO INSTITUCIONAL UNIVERSIDAD DE MÁLAGA