id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-031835-jx8lzdl8	Zhao, Fei	Time to lead the prevention and control of public health emergencies by informatics technologies in an information era	2020-09-14		.txt	text/plain	957	77	51	title: Time to lead the prevention and control of public health emergencies by informatics technologies in an information era Numerous models such as the classical dynamic model (SEIS) and artificial intelligence (AI) tools, are helping in the fight against the COVID-19 pandemic by predicting the spread of the disease, hospital demand, diagnosis, and death. Real-time data sharing makes spread forecasting for public health emergencies and the evaluation of various interventions available. The turning point, however, where informatics technologies lead the prevention and control of public health emergencies in an information era, has already arrived. Forecasting the impact of the first wave of the COVID-19 pandemic on hospital demand and deaths for the USA and European Economic Area countries The effect of control strategies to reduce social mixing on outcomes of the COVID-19 epidemic in Wuhan, China: a modelling study	./cache/cord-031835-jx8lzdl8.txt	./txt/cord-031835-jx8lzdl8.txt