Abstract:Background Corona virus disease (COVID-2019) is a severe ongoing novel pandemic that is spreading rapidly across the world. Analyzing and predicting COVID-19 prevalence will help governments to take necessary actions in controlling the spread. Time series analysis has proved to be efficient for estimating future impact in such circumstances. Methods Auto Regressive Integrated Moving Average (ARIMA) models were developed to predict the epidemiological trend of pandemic in India, The USA and Italy up-to 20 Ju… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.