In this paper, we study the effectiveness of the modelling approach on the pandemic due to
the spreading of the novel COVID-19 disease and develop a susceptible-infected-removed …

In this paper, a susceptible-infected-removed (SIR) model has been used to track the
evolution of the spread of COVID-19 in four countries of interest. In particular, the epidemic …

The fully connected topology, which coordinates the connection of each neuron with all
other neurons, remains the most commonly used structure in Hopfield-type neural networks …

The dynamics of epidemic spreading is often reduced to the single control parameter R 0
(reproduction-rate), whose value, above or below unity, determines the state of the …

Small-world networks have been of increasing interest because of their high similarity with
complex networks in reality. Achievements about controlling the propagation and evolution …

Variants of concern (VOC) of SARS-CoV-2 emerged toward the end of 2020. These resulted
in documented replacement of wildtype SARS-CoV-2, with concerns of transmissibility …

Abstract The coronavirus (COVID-19) pandemic began in late 2019, unleashing a severe
human health crisis that lasted three years and caused immeasurable economic losses …

Animal movements represent a major risk for the spread of infectious diseases in the
domestic swine population. In this study, we adopted methods from social network analysis …

Epidemics result in loss of human lives and have a significative socioeconomic impact. In
this context, epidemiological models play a crucial role in prevention and control of spread …

The emergence of novel infectious agents with pandemic potential remains a critical global
concern, as underscored by the COVID-19 pandemic. This study investigates the various …