Understanding the CoVID-19 pandemic Curve through statistical approach

Ibrar ul Hassan Akhtar

Time series data analysis of MERS-CoV based on trends, seasonality and statistical forecasting demonstrated use of underlying dynamics by healthcare policy makers and experts 12 . The Deb (2020) implemented autoregressive integrated moving average (ARIMA) method to explore CoVID-19 incidence pattern and disease reproduction number and provided understanding for current outbreak 13 . The disease analysis models like an improved SIR (suspected, infected and recovered) model of asymptomatic CoVID-19 provided an insight into northern Italy and outperformed standard SIR model [14] [15] [16] . A SIDHARTHE (Susceptible, Infected, Diagnosed, Healed, Ailing, . CC-BY-ND 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.