Since the outbreak of COVID-19, many data analyses have been done. Some of them are
based on the classical epidemiological approach that assumes an exponential growth, but a …

In this paper, we analyze the real-time infection data of COVID-19 epidemic for 21 nations
up to April 20, 2020. We observe that China, South Korea, Australia, Hong Kong, and …

The corona virus (SARS-CoV-2) or Covid-19 pandemic is growing alarmingly throughout the
whole world. Using the power law scaling we analyze the data of different countries and …

The number of corona virus (COVID-19) infections grows worldwide. In order to create short
term predictions to prepare for the extent of the global pandemic we analyze infection data …

We have analysed the COVID-19 epidemic data of more than 174 countries (excluding
China) in the period between 22 January and 28 March 2020. We found that some countries …

Background: Recent work showed that the temporal growth of the novel coronavirus disease
(COVID-19) follows a sub-exponential power-law scaling whenever effective control …

Abstract Introduction Following the USA, India ranks the second position in the world for
COVID-19 cases with the highest number of daily confirmed cases since September 2020 …

We give an update to the original paper posted on 2/17/20–now (as of 3/1/20) the China
deaths are rapidly decreasing, and we find an exponential decline to the power law similar …

The spread of the COVID-19 virus has had an enormous impact on the world's health and
socioeconomic system. While lockdowns, which severely limit the movement of the …

In this article, we are going to study the current COVID-19 spread patterns in India and the
United States. We are interested to show how the daily increase in the total number of cases …