COVID-19 pandemic represents an unprecedented global health crisis which has an
enormous impact on the world population and economy. Many scientists and researchers …

Background COVID-19 poses a severe threat to global human health, especially the USA,
Brazil, and India cases continue to increase dynamically, which has a far-reaching impact on …

This study presents a mathematical model of the transmission dynamics of COVID-19 and
influenza co-infection. The potential impacts of the influenza vaccine only on the co-infection …

The current study provides the numerical performances of the fractional kind of breast
cancer (FKBC) model, which are based on five different classes including cancer stem cells …

Background: The adventure of the mRNA vaccine began thirty years ago in the context of
influenza. This consisted in encapsulating the mRNA coding for a viral protein in a lipid …

The COVID-19 pandemic continues to emphasize the importance of epidemiological
modelling in guiding timely and systematic responses to public health threats. Nonetheless …

In data mining, and statistics, anomaly detection is the process of finding data patterns
(outcomes, values, or observations) that deviate from the rest of the other observations or …

The temporal evolution of the omicron wave in different countries is predicted, upon
adopting an early doubling time of three days for the rate of new infections with this mutant …

The panacea to the global challenge of plastic waste management is the transition towards
plastic circular economy, which can be sustained through tailor-made management …

The present paper aims to apply the mathematical ideas of the contagion networks in a
discrete dynamic context to the modeling of two current pandemics, ie, COVID-19 and …