Version 1
: Received: 30 October 2023 / Approved: 31 October 2023 / Online: 31 October 2023 (10:22:04 CET)
How to cite:
Nicolis, O.; Maidana, J.P.; Contreras, F.; Leal, D. Effects of COVID-19 Pandemic on the Chilean and World Economy through a Clustering Approach. Preprints2023, 2023102026. https://doi.org/10.20944/preprints202310.2026.v1
Nicolis, O.; Maidana, J.P.; Contreras, F.; Leal, D. Effects of COVID-19 Pandemic on the Chilean and World Economy through a Clustering Approach. Preprints 2023, 2023102026. https://doi.org/10.20944/preprints202310.2026.v1
Nicolis, O.; Maidana, J.P.; Contreras, F.; Leal, D. Effects of COVID-19 Pandemic on the Chilean and World Economy through a Clustering Approach. Preprints2023, 2023102026. https://doi.org/10.20944/preprints202310.2026.v1
APA Style
Nicolis, O., Maidana, J.P., Contreras, F., & Leal, D. (2023). Effects of COVID-19 Pandemic on the Chilean and World Economy through a Clustering Approach. Preprints. https://doi.org/10.20944/preprints202310.2026.v1
Chicago/Turabian Style
Nicolis, O., Fabian Contreras and Danilo Leal. 2023 "Effects of COVID-19 Pandemic on the Chilean and World Economy through a Clustering Approach" Preprints. https://doi.org/10.20944/preprints202310.2026.v1
Abstract
The Covid-19 crisis has been one of the most relevant economic shocks in the history of the modern economy, mainly due to the restrictions on travel and social interaction taken by the authorities (quarantines, closure of schools, artistic activities, bars, and restaurants, capacity in stores), to reduce the transmission of the virus (Sars-Cov2), having consequences on the national productions of all countries (about 7% for the loss of GDP worldwide). In our study, we analyze, through clustering methods, the effects of the level of contagion, economic projections, and economic mitigation measures taken by governments for managing the pandemic. According to the analyses, it can be concluded that a low infection rate implies a lower loss of product and economic savings when applying economic mitigation measures, taking relevance in the management of sanitary measures to reduce the transmission of the virus (and the temporality of these).
Keywords
Covid-19; Infection rate; k-Means; Hierarchical Clustering, Dynamic Time Warping (DTW)
Subject
Environmental and Earth Sciences, Sustainable Science and Technology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
