The contribution of this paper is twofold. First, a new data driven approach for predicting the
Covid-19 pandemic dynamics is introduced. The second contribution consists in reporting …

Abstract Background. Unfortunately, the COVID-19 pandemic is still far from stabilizing. Of
particular concern is the sharp increase in the number of diseases in June-July, September …

The understanding of factors that affect the dissemination of a viral infection is fundamental
to help combat it. For instance, during the COVID-19 pandemic that changed the lives of …

This book highlights the estimate of epidemic characteristics for different countries/regions in
the world with the use of known SIR (susceptible-infected-removed) model for the dynamics …

The sharp increase in the number of new COVID-19 patients in India in the second half of
April 2021 has caused alarm around the world. A detailed analysis of this pandemic storm is …

To simulate how the number of COVID-19 cases increases versus time, various data sets
and different mathematical models can be used. In particular, previous simulations of the …

Mathematical modelling of coronavirus disease (COVID-19) is eagerly required in public
health to understand the evolution of COVID-19. However, unknown parameters in the …

Diffusion comes anytime and everywhere. If there is a gradient or a potential difference of a
quantity a diffusion process happens and this ends if an equilibrium is reached only. The …

To simulate the COVID-19 pandemic dynamics, various data sets and different mathematical
models can be used. In particular, previous simulations of the COVID-19 epidemic dynamics …