id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-337275-phgfpzbt	Andrew, Jones	Is Spread of COVID-19 a Chaotic Epidemic?	2020-10-20		.txt	text/plain	3656	196	50	Traditional compartmental epidemiological models demonstrated limited ability to predict the scale and dynamics of COVID-19 epidemic in different countries. Our mathematical examination of COVID-19 epidemic data in different countries reveals similarity of this dynamic to the chaotic behavior of many dynamics systems, such as logistic maps. In a previous study, [4] demonstrated that the coronavirus raw data in China's first two months of the disease suggest chaotic growth, similar to other epidemics like H1N1 and measles. These systems are now termed "chaotic." Unpredictability due to highly-sensitive reliance on initial conditions inspired the term "deterministic chaos." After Poincaré's studies, the deterministic chaotic behavior was discovered in numerous dynamical systems and confirmed experimentally [15, 6, 2, 20] . Through use of an interactive data map, it was shown that the spread of COVID-19 exhibits the major characteristics of chaotic systems, namely, determinism, high sensitivity, large number of equilibria, and unpredictability.	./cache/cord-337275-phgfpzbt.txt	./txt/cord-337275-phgfpzbt.txt