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 …

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 …

Background The 2019 coronavirus disease (COVID-19) represents a significant public
health threat globally. Here we describe efforts to compare epidemic growth, size and …

Compartment models of infectious diseases, such as SEIR, are being used extensively to
model the COVID-19 epidemic. Transitions between compartments are modelled either as …

The standard growth model of epidemic evolution such as the Richards generalized logistic
function is remarkably successful because it agrees with almost all previous epidemic data …

Background The SIR model is often used to analyse and forecast the expansion of an
epidemic. In this model, the number of patients exponentially increases and decreases …

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 …

The basic reproduction number R 0 of the coronavirus disease 2019 has been estimated to
range between 2 and 4. Here, we used an SEIR model that properly accounts for the …

The global spread of the COVID-19 pandemic is changing everything in 2020. It is of crucial
importance to characterize the growth patterns during the transmission. In this paper, a …

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 …