In this article, we analyze the growth pattern of COVID-19 pandemic in India from March 4 to
July 11 using regression analysis (exponential and polynomial), auto-regressive integrated …

This paper is devoted to modeling and predicting COVID-19 confirmed cases through a
multiple linear regression. Especially, prediction intervals of the COVID-19 cases are …

A mathematical analysis of patterns for the evolution of COVID-19 cases is key to the
development of reliable and robust predictive models potentially leading to efficient and …

After the spread of COVID-19 out of China, the evolution of the pandemic has shown
remarkable similarities and differences between countries around the world. Eventually …

This paper deals with time series analysis for COVID-19 in South Korea. We adopt
heterogeneous autoregressive (HAR) time series models and discuss the statistical …

We apply a versatile growth model, whose growth rate is given by a generalised beta
distribution, to describe the complex behaviour of the fatality curves of the COVID-19 …

We construct a universal epidemic curve for COVID-19 using the epidemic curves of eight
nations that have reached saturation for the first phase and then fit an eight-degree …

In this work, an epidemiological model is constructed based on a target problem that
consists of a chemical reaction on a lattice. We choose the generalized scale-free network to …

The complexities involved in modelling the transmission dynamics of COVID-19 has been a
roadblock in achieving predictability in the spread and containment of the disease. In …

Whether the stay-at-home order and face mask mandate are effective in slowing down the
COVID-19 virus transmission is up for debate. To investigate this matter, we employ a …