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Mapping the Risk of COVID-19 Contagion at Urban Scale

Author

Listed:
  • Juan Francisco Sortino Barrionuevo

    (Geography Department, University of Malaga, 29071 Malaga, Spain)

  • Hugo Castro Noblejas

    (Geography Department, University of Malaga, 29071 Malaga, Spain)

  • María Jesús Perles Roselló

    (Geography Department, University of Malaga, 29071 Malaga, Spain)

Abstract

From the beginning of the COVID-19 pandemic, several methods have been developed to assess the risk of COVID-19 transmission using spatial units of analysis based on administrative limits (e.g., neighborhoods, census sections, and districts). The main objective of this study is to create a method to assess the risk of contagion within an interurban scale, considering buildings as the smallest unit of analysis. The general risk equation has been the basis to develop the method, individually assessing its components (i.e., hazard, vulnerability, and exposure). Several mapping tools that address the management of the risk of contagion have been proposed, and the main result was the detection of a pattern of contagion and the identification of areas where the risk of contagion was greater. Additionally, the comparison of the risk of a contagion pattern and the population size at an intraurban scale allowed for inferring the specific vulnerability of the population to contagion. The results also showed that there was a direct relation between the risk of contagion and population density, as well as the presence of areas especially vulnerable to contagion.

Suggested Citation

  • Juan Francisco Sortino Barrionuevo & Hugo Castro Noblejas & María Jesús Perles Roselló, 2022. "Mapping the Risk of COVID-19 Contagion at Urban Scale," Land, MDPI, vol. 11(9), pages 1-24, September.
  • Handle: RePEc:gam:jlands:v:11:y:2022:i:9:p:1480-:d:906340
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    References listed on IDEAS

    as
    1. Shima Hamidi & Sadegh Sabouri & Reid Ewing, 2020. "Does Density Aggravate the COVID-19 Pandemic?," Journal of the American Planning Association, Taylor & Francis Journals, vol. 86(4), pages 495-509, October.
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    3. Sachiko Kodera & Essam A. Rashed & Akimasa Hirata, 2020. "Correlation between COVID-19 Morbidity and Mortality Rates in Japan and Local Population Density, Temperature, and Absolute Humidity," IJERPH, MDPI, vol. 17(15), pages 1-14, July.
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