id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-340027-6l55rcfm	Mamode Khan, Naushad	Studying the trend of the novel coronavirus series in Mauritius and its implications	2020-07-10		.txt	text/plain	3627	198	52	This paper proposes an integer-valued time series model to analyze the series of COVID-19 cases in Mauritius wherein the corresponding innovation term accommodates for covariate specification. Based on the proposed COM-Poisson mixture models, we could predict the number of COVID-19 cases in Mauritius. The paper therefore proposes an integer-valued auto-regressive model (INAR(1)) with Conway-Maxwell Poisson (COM-Poisson) mixed innovation terms that can accommodate for covariate, random effect and serial auto-correlation specifications. The organization of the paper is as follows: In Section 2, material in terms of time series of COVID-19 in Mauritius and proposed methods principally the INAR(1) Process and the COM-Poisson mixture innovations have been provided. The results of this research revealed that several factors, the most significant being confinement measure, and least one being climatic conditions, affect the number of COVID-19 cases in Mauritius.	./cache/cord-340027-6l55rcfm.txt	./txt/cord-340027-6l55rcfm.txt