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Methodologies to Associate COVID-19 Spreading Data to Space and Scale: A Report on the First Outbreak

Methodologies to Associate COVID-19 Spreading Data to Space and Scale: A Report on the First Outbreak

Lais-Ioanna Margiori, Stylianos Krommydakis
Copyright: © 2022 |Pages: 35
ISBN13: 9781799871767|ISBN10: 1799871762|EISBN13: 9781799871781
DOI: 10.4018/978-1-7998-7176-7.ch006
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MLA

Margiori, Lais-Ioanna, and Stylianos Krommydakis. "Methodologies to Associate COVID-19 Spreading Data to Space and Scale: A Report on the First Outbreak." Smart Cities and Machine Learning in Urban Health, edited by J. Joshua Thomas, et al., IGI Global, 2022, pp. 103-137. https://doi.org/10.4018/978-1-7998-7176-7.ch006

APA

Margiori, L. & Krommydakis, S. (2022). Methodologies to Associate COVID-19 Spreading Data to Space and Scale: A Report on the First Outbreak. In J. Thomas, V. Geropanta, A. Karagianni, V. Panchenko, & P. Vasant (Eds.), Smart Cities and Machine Learning in Urban Health (pp. 103-137). IGI Global. https://doi.org/10.4018/978-1-7998-7176-7.ch006

Chicago

Margiori, Lais-Ioanna, and Stylianos Krommydakis. "Methodologies to Associate COVID-19 Spreading Data to Space and Scale: A Report on the First Outbreak." In Smart Cities and Machine Learning in Urban Health, edited by J. Joshua Thomas, et al., 103-137. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-7998-7176-7.ch006

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Abstract

Since the onset of the COVID-19 pandemic, the correlation between the spread of the SARS-Cov-2 virus and a number of epidemiological parameters has been a key tool for understanding the dynamics of its flow. This information has assisted local authorities in making policy decisions for the containment of its expansion. Several methods have been used including topographical data, artificial intelligence and machine learning data, and epidemiological tools to analyze factors facilitating the spread of epidemic at a local and global scale. The aim of this study is to use a new tool to assess and categorize the incoming epidemiological data regarding the spread of the disease as per population densities, spatial and topographical morphologies, social and financial activities, population densities and mobility between regions. These data will be appraised as risk factors in the spread of the disease on a local and a global scale.

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