A particle swarm optimization approach for predicting the number of COVID-19 deaths

M Haouari, M Mhiri - Scientific reports, 2021 - nature.com
The rapid spread of the COVID-19 pandemic has raised huge concerns about the prospect
of a major health disaster that would result in a huge number of deaths. This anxiety was …

Controlling the Spread of COVID‐19: Optimal Control Analysis

CE Madubueze, S Dachollom… - … methods in Medicine, 2020 - Wiley Online Library
Coronavirus disease 2019 (COVID‐19) is a disease caused by severe acute respiratory
syndrome coronavirus 2 (SARS CoV‐2). It was declared on March 11, 2020, by the World …

Optimal control of mathematical modeling of the spread of the COVID-19 pandemic with highlighting the negative impact of quarantine on diabetics people with cost …

A Kouidere, LEL Youssoufi, H Ferjouchia… - Chaos, Solitons & …, 2021 - Elsevier
Abstract As of November 14, 2020, the number of people infected with the COVID-19
disease has reached more than 54 million people worldwide and more than 1323196 …

A fractional-order model of COVID-19 considering the fear effect of the media and social networks on the community

F Bozkurt, A Yousef, T Abdeljawad, A Kalinli… - Chaos, Solitons & …, 2021 - Elsevier
Since December 2019, the world has experienced from a virus, known as Covid-19, that is
highly transmittable and is now spread worldwide. Many mathematical models and studies …

[HTML][HTML] Cost-effectiveness of a mathematical modeling with optimal control approach of spread of COVID-19 pandemic: A case study in Peru

A Kouidere, O Balatif, M Rachik - Chaos, Solitons & Fractals: X, 2023 - Elsevier
COVID-19 pandemic affects 213 countries and regions around the world. Which the number
of people infected with the virus exceeded 26 millions infected and more than 870 thousand …

A mathematical modeling with optimal control strategy of transmission of COVID-19 pandemic virus

A Kouidere, B Khajji, A El Bhih, O Balatif… - Commun. Math. Biol …, 2020 - scik.org
In this paper, we propose a mathematical modeling that describe the dynamics of
transmission of the novel Coronavirus 2019 (COVID-19), between potential people and …

A computational stochastic procedure for solving the epidemic breathing transmission system

N AbuAli, MB Khan, Z Sabir - Scientific Reports, 2023 - nature.com
This work provides numerical simulations of the nonlinear breathing transmission epidemic
system using the proposed stochastic scale conjugate gradient neural networks (SCGGNNs) …

Prediction studies of the epidemic peak of coronavirus disease in Japan: From Caputo derivatives to Atangana–Baleanu derivatives

P Kumar, NA Rangaig, H Abboubakar… - … Journal of Modeling …, 2022 - World Scientific
New atypical pneumonia caused by a virus called Coronavirus (COVID-19) appeared in
Wuhan, China in December 2019. Unlike previous epidemics due to the severe acute …

[HTML][HTML] Prediction of the transition from subexponential to the exponential transmission of SARS-CoV-2 in Chennai, India: epidemic nowcasting

K Krishnamurthy, B Ambikapathy… - JMIR public health …, 2020 - publichealth.jmir.org
Background: Several countries adopted lockdown to slowdown the exponential transmission
of the coronavirus disease (COVID-19) epidemic. Disease transmission models and the …

[HTML][HTML] A fractional-order dynamical model of the SEIVRS epidemic with temporary immunity and transport-related infection

A Yousef - Alexandria Engineering Journal, 2023 - Elsevier
We propose an epidemic model as a system of FDEs to describe transmission amongst
different locations that affect the epidemiological spread and the vaccination to control the …