id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-258235-khdyxiwe	Chakraborty, Tanujit	Real-time forecasts and risk assessment of novel coronavirus (COVID-19) cases: A data-driven analysis	2020-04-30		.txt	text/plain	5628	316	57	To solve the first problem, we presented a hybrid approach based on autoregressive integrated moving average model and Wavelet-based forecasting model that can generate short-term (ten days ahead) forecasts of the number of daily confirmed cases for Canada, France, India, South Korea, and the UK. In this section, we first briefly discuss these datasets, followed by the development of the proposed hybrid model, and finally, the application of the proposed model to generate short-term forecasts of the future COVID-19 cases for five different countries. Algorithm 1 Proposed Hybrid ARIMA-WBF Model 1 Given a time series of length n, input the in-sample (training) COVID-19 daily cases data. Thus, these real-time short-term forecasts based on the proposed hybrid ARIMA-WBF model for Canada, France, India, South Korea, and the UK will be helpful for government officials and policymakers to allocate adequate health care resources for the coming days.	./cache/cord-258235-khdyxiwe.txt	./txt/cord-258235-khdyxiwe.txt