id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-324839-6w9kdhod	Huang, Jianping	Global prediction system for COVID-19 pandemic	2020-08-02		.txt	text/plain	1949	97	44	Therefore, a system for global pandemic prediction is urgently needed to provide important scientific data to the WHO and local governments to help with public decision-making and allocation of medical resources. Many countries also implemented epidemic prevention and control measures during the outbreak, and it is important to consider the role of national interventions in the spread of COVID-19. Currently, however, no studies have considered the influence of meteorological factors and interventions on global COVID-19 prediction models. In this article, we integrated the epidemic prediction model with real global pandemic data and considered the influence of environmental factors (temperature and humidity) as well as the implementation of control measures, to establish our own global prediction system, which is the first of global COVID-19 prediction system. Our prediction system is a modified epidemiological susceptible-infectiousrecovery (SIR) model [6, 11] that incorporates real global pandemic data, meteorological factors, and quantified quarantine measures [9] .	./cache/cord-324839-6w9kdhod.txt	./txt/cord-324839-6w9kdhod.txt