Many of the models used nowadays in mathematical epidemiology, in particular in COVID-
19 research, belong to a certain subclass of compartmental models whose classes may be …

In this work, we first introduce a class of deterministic epidemic models with varying
populations inspired by Arino et al.(2007), the parameterization of two matrices …

We revisit here a landmark five-parameter SIR-type model, which is maybe the simplest
example where a complete picture of all cases, including non-trivial bistability behavior, may …

In this work we study the stability properties of the equilibrium points of deterministic
epidemic models with nonconstant population size. Models with nonconstant population …

This work shows that simple compartmental epidemiological models may not reproduce
actually reported country-wide statistics since the latter reflects the cumulative amount of …

The outbreak of COVID-19 led the world to an extreme health and economic cataclysm. As
the epidemic stays the course, the researchers worldwide attempt to study its features and to …

The current pandemic is a great challenge for several research areas. In addition to virology
research, mathematical models and simulations can be a valuable contribution to the …

Since the introduction by Kermack and McKendrick in 1927, the Susceptible–Infected–
Recovered (SIR) epidemic model has been a foundational model to comprehend and …

In an earlier paper we proposed a recursive model for epidemics; in the present paper we
generalize this model to include the asymptomatic or unrecorded symptomatic people …

In India, the first coronavirus disease (COVID) case was confirmed on 30/01/2020. During
the first wave, the number of new cases increase and become minimum of 9102 on …