id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-338895-c2wzjbgb	Machado, J. A. Tenreiro	Rare and extreme events: the case of COVID-19 pandemic	2020-05-16		.txt	text/plain	5452	336	59	Two distinct approaches are considered, the description of the number of infected people across time by means of heuristic models fitting the real-world data, and the comparison of countries based on hierarchical clustering and multidimensional scaling. The computational and mathematical modeling lead to the emergence of patterns, highlighting similarities and differences between the countries, pointing toward the main characteristics of the complex dynamics. Therefore, in a first phase, we adopt a nonlinear least-squares technique to determine possible candidate heuristic models for describing the data regarding COVID-19 infections. The information is visualized using hierarchical clustering (HC) and multidimensional scaling (MDS) for comparing the COVID-19 evolution in the different countries. We adopt the Canberra distance to measure the dissimilarity between pairs (i, j) for the time and frequency domains: Real data Fitting model In a second phase, two metrics were used for comparing the countries data both in the time and frequency domains, and the HC and MDS techniques were adopted for clustering and visualization.	./cache/cord-338895-c2wzjbgb.txt	./txt/cord-338895-c2wzjbgb.txt