id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-269021-juh2qkm0	Bai, Zhihua	The Rapid Assessment and Early Warning Models for COVID-19	2020-04-01		.txt	text/plain	4599	226	48	Human beings have experienced a serious public health event as the new pneumonia (COVID-19), caused by the severe acute respiratory syndrome coronavirus has killed more than 3000 people in China, most of them elderly or people with underlying chronic diseases or immunosuppressed states. In the case of a gradually improved infectious disease surveillance system, the research on forecasting and early warning of epidemics based on models has become the focus of the public health system. In response to the current epidemic of SARS-CoV-2, many researchers have developed mathematical models with varying degrees of complexity, aiming to assess the capacity of pathogen transmission and which interventions are most likely to be effective (Fig. 2) . Estimating the unreported number of novel coronavirus (2019-nCoV) cases in China in the first half of January 2020: a data-driven Modelling analysis of the early outbreak	./cache/cord-269021-juh2qkm0.txt	./txt/cord-269021-juh2qkm0.txt