id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-333693-z2ni79al	Wu, Lin	Modeling the COVID-19 Outbreak in China through Multi-source Information Fusion	2020-08-06		.txt	text/plain	723	43	40	title: Modeling the COVID-19 Outbreak in China through Multi-source Information Fusion Modeling the outbreak of a novel epidemic, such as coronavirus disease 2019 (COVID-19), is crucial for estimating its dynamics, predicting future spread and evaluating the effects of different interventions. We addressed these issues by presenting an interactive individual-based simulator, which is capable of modeling an epidemic through multi-source information fusion. However, oversimplified models are not capable of incorporating multi-type uncertain information like clinical courses, viral shedding, subclinical transmission, infections, confirmations, deaths, or interventions, so they cannot reduce uncertainty by multi-source information fusion. To tackle the three challenges of modelling epidemic dynamics, we have developed an interactive simulator for individual-based models in this paper. Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus-Infected Pneumonia Estimates of the severity of coronavirus disease 2019: a model-based analysis	./cache/cord-333693-z2ni79al.txt	./txt/cord-333693-z2ni79al.txt