The fractional differential equation has a memory property and is suitable for
biomathematical modeling. In this paper, a fractional SEQIR epidemic model with saturated …

To capture the underlying dynamics of the COVID-19 pandemic, we develop a stochastic
SEIABR compartmental model, where the concentration of coronaviruses in the environment …

This paper proposes an infectious disease dynamics model with spatial heterogeneity to
study the joint impact of nonlocal dispersal and vaccine on the transmission dynamics of …

An HIV-COVID-19 co-infection dynamics is modeled mathematically assimilating the
vaccination mechanism that incorporates endogenous modification of human practices …

Adverse event (AE) extraction following COVID-19 vaccines from text data is crucial for
monitoring and analyzing the safety profiles of immunizations. Traditional deep learning …

Abstract The coronavirus disease 19 (COVID-19), caused by the Severe Acute Respiratory
Syndrome Coronavirus 2 (SARS-COV-2), is an infectious disease constituting the most …

With the sudden outbreak of COVID-19 all over the world, vaccination was one of the most
effective treatments. In this paper, a stochastic COVID-19 model with vaccination is …

An unaware susceptible-aware susceptible-vaccinated-infected-recovered (S u S a V IR)
epidemic disease model has been developed and extensively examined to better …

In this article, we present a mathematical model for human immunodeficiency virus
(HIV)/Acquired immune deficiency syndrome (AIDS), taking into account the number of …

This paper is concerned with the modeling and control problems of an epidemic network
system, in which the disease spreads through multiple routes. A novel heterogeneous …