id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-261599-ddgoxape	Nabi, Khondoker Nazmoon	Forecasting of COVID-19 pandemic: From integer derivatives to fractional derivatives	2020-09-21		.txt	text/plain	6630	401	53	In a recent study, Nabi [26] has proposed a new Susceptible-Exposed-Symptomatic Infectious-Asymptomatic Infectious-Quarantined-Hospitalized-Recovered-Dead (SEI D I U QHRD) compartmental mathematical model and calibrated model parameters to project the future dynamics of COVID-19 for various COVID-19 hotspots. The advantage of applying Caputo fractional derivatives to solve the proposed COVID-19 model is the dynamics of the model can be observed more deeply using the real-time Cameroon data. The aim of this work is to forecast the probable time and size of the epidemic peaks of the novel coronavirus outbreak in Cameroon by studying a realistic compartmental model using the robust concept of Caputo fractional derivative. Section 3 is devoted to model calibration using real data of reported cases of COVID-19 in Cameroon, global sensitivity analysis of the proposed model, and forecasting of the disease future dynamics.	./cache/cord-261599-ddgoxape.txt	./txt/cord-261599-ddgoxape.txt