In actual pandemic situations like COVID-19, it is important to understand the influence of
single mitigation measures as well as combinations to create most dynamic impact for …

In this article, we analyze the spread of information on social media (Twitter) and purpose a
strategy based on epidemiological models. It is well known that social media represent a …

The spatial movement of the human population from one region to another and the
existence of super-spreaders are the main factors that enhanced the disease incidence …

Metapopulation models have been a popular tool for the study of epidemic spread over a
network of highly populated nodes (cities, provinces, countries) and have been extensively …

The large population movement during the Spring Festival travel in China can considerably
accelerate the spread of epidemics, especially after the relaxation of strict control measures …

The aim of this article is to investigate the existence of traveling waves of a diffusive model
that represents the transmission of a virus in a determined population composed of the …

We use data on imprisonment in Spain to fit a system of three ordinary differential equations
that describes the temporal evolution of three different groups in the country: offenders that …

It is widely accepted that the number of reported cases during the first stages of the COVID-
19 pandemic severely underestimates the number of actual cases. We leverage delay …

This work aims at deriving and analysing a reaction-diffusion model for the transmission
dynamics of the Coronavirus (COVID-19) which takes into account the reinfection and the …

In this work we study a fractional SEIR biological model of a reaction-diffusion, using the non-
singular kernel Caputo-Fabrizio fractional derivative in the Caputo sense and employing the …