id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-327867-1wkbjtji	Da'ar, Omar B.	Underlying trend, seasonality, prediction, forecasting and the contribution of risk factors: an analysis of globally reported cases of Middle East Respiratory Syndrome Coronavirus	2018-06-11		.txt	text/plain	3186	164	49	title: Underlying trend, seasonality, prediction, forecasting and the contribution of risk factors: an analysis of globally reported cases of Middle East Respiratory Syndrome Coronavirus This study set out to identify and analyse trends and seasonal variations of monthly global reported cases of the Middle East respiratory syndrome coronavirus (MERS-CoV). This study set out to identify trends and seasonal variations; made a prediction based on the globally reported cases of the Middle East respiratory syndrome coronavirus (MERS-CoV), extrapolated into the future by forecasting the trend and assessed contributions of various risk factors for the MERS-CoV cases. Using linear time series models and their application to the modelling and prediction of the globally reported MERS-CoV data, the present study identified trends, analysed seasonality, predicted and forecast evolution of MERS-CoV cases and assessed the contribution of various risk factors.	./cache/cord-327867-1wkbjtji.txt	./txt/cord-327867-1wkbjtji.txt