id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-304379-4mfyxp6h	Wang, Jin	Mathematical models for COVID-19: applications, limitations, and potentials	2020-06-25		.txt	text/plain	1561	77	35	(5) conducted computational modeling of potential epidemic trajectories to estimate the outbreak size in Wuhan, China, and their results indicated that control measures need to block well over 60% of transmission to be effective in containing the outbreak. Incorporating such an environment-tohuman route into mathematical modeling may better characterize the transmission dynamics of COVID-19 and potentially gain deeper understanding of its epidemic patterns. For example, many countries (China in particular) implemented strong disease control measures, including large-scale quarantine, intensive tracking of movement and contact, strict isolation of infected individuals, expanded medical facilities, and social distancing, which can effectively (and, in some places, rapidly) reduce the transmissibility of the virus. Mathematical epidemic models are well positioned to incorporate the economic impact of COVID-19, to quantify the interaction of epidemiological and economic factors, and to suggest an optimal balance between the pandemic control and economic development.	./cache/cord-304379-4mfyxp6h.txt	./txt/cord-304379-4mfyxp6h.txt