The infectious disease brought on by COVID-19 is the pandemic that has put the lives and economy of the entire planet in jeopardy. The only alternatives available before the creation …
We investigate, through a fractional mathematical model, the effects of physical distance on the SARS-CoV-2 virus transmission. Two controls are considered in our model for …
Aim We specify a multistate dynamic model of COVID-19 states and investigate the efficiency of lockdown policies in a control application. Method Computational and analytical …
R Karmakar, S Chatterjee, D Datta… - Systems and Soft …, 2024 - Elsevier
Abstract World Health Organization (WHO) declared Coronavirus Disease 2019 (COVID- 19), caused by the virus named Severe Acute Respiratory Syndrome Corona Virus-2 (SARS …
We propose two different mathematical models to study the effect of immigration on the COVID-19 pandemic. The first model does not consider immigration, whereas the second …
This article proposes a stochastic nonlinear model predictive controller to support policymakers in determining robust optimal nonpharmaceutical strategies to tackle the …
J Đorđević, I Papić, N Šuvak - Chaos, Solitons & Fractals, 2021 - Elsevier
We propose a refined version of the stochastic SEIR model for epidemic of the new corona virus SARS-Cov-2, causing the COVID-19 disease, taking into account the spread of the …
A fractional-order compartmental model was recently used to describe real data of the first wave of the COVID-19 pandemic in Portugal [Chaos Solitons Fractals 144 (2021), Art …
In this research, we provide a mathematical analysis for the novel coronavirus responsible for COVID-19, which continues to be a big source of threat for humanity. Our fractional-order …