Abstract
The study aims to investigate the associations between the government’s response measures during the COVID-19 pandemic and weekly incidence data (positivity rate, mortality rate and testing rate) in Greece. The study focuses on the period from the detection of the first case in the country (26th February 2020) to the first week of 2022 (08th January 2022). Data analysis was based on Correspondence Analysis on a fuzzy-coded contingency table, followed by Hierarchical Cluster Analysis (HCA) on the factor scores. Results revealed distinct time periods during which interesting interactions took place between control measures and incidence data.
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Chadjipadelis, T., Magopoulou, S. (2023). COVID-19 Pandemic: A Methodological Model for the Analysis of Government’s Preventing Measures and Health Data Records. In: Brito, P., Dias, J.G., Lausen, B., Montanari, A., Nugent, R. (eds) Classification and Data Science in the Digital Age. IFCS 2022. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Cham. https://doi.org/10.1007/978-3-031-09034-9_11
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