A systematic literature review on fake news in the COVID-19 pandemic: Can AI propose a solution?
T Ahmad, EA Aliaga Lazarte, S Mirjalili - Applied Sciences, 2022 - mdpi.com
The COVID-19 pandemic has led to an incredible amount of fake news and conspiracy
theories around the world. Calls for the integration of COVID-19 and fake news-related …
theories around the world. Calls for the integration of COVID-19 and fake news-related …
Hamiltonian neural networks for solving equations of motion
There has been a wave of interest in applying machine learning to study dynamical systems.
We present a Hamiltonian neural network that solves the differential equations that govern …
We present a Hamiltonian neural network that solves the differential equations that govern …
[HTML][HTML] Fair-split distribution of multi-dose vaccines with prioritized age groups and dynamic demand: The case study of COVID-19
The emergence of the SARS-CoV-2 virus and new viral variations with higher transmission
and mortality rates have highlighted the urgency to accelerate vaccination to mitigate the …
and mortality rates have highlighted the urgency to accelerate vaccination to mitigate the …
Global stability of multi-strain SEIR epidemic model with vaccination strategy
A three-strain SEIR epidemic model with a vaccination strategy is suggested and studied in
this work. This model is represented by a system of nine nonlinear ordinary differential …
this work. This model is represented by a system of nine nonlinear ordinary differential …
The spread dynamics model of the interaction between rumors and derivative rumors in emergencies under the control strategy
C Wang, R Liu, Y Wang - Chaos, Solitons & Fractals, 2023 - Elsevier
Emergencies are usually accompanied by rumors, which are intertwined with each other
and cause interactive effects, leading to crisis escalation and “secondary disasters”. How to …
and cause interactive effects, leading to crisis escalation and “secondary disasters”. How to …
Optimal vaccination in a SIRS epidemic model
S Federico, G Ferrari, ML Torrente - Economic Theory, 2024 - Springer
We propose and solve an optimal vaccination problem within a deterministic compartmental
model of SIRS type: the immunized population can become susceptible again, eg because …
model of SIRS type: the immunized population can become susceptible again, eg because …
Prognosis of COVID-19 severity using DERGA, a novel machine learning algorithm
It is important to determine the risk for admission to the intensive care unit (ICU) in patients
with COVID-19 presenting at the emergency department. Using artificial neural networks, we …
with COVID-19 presenting at the emergency department. Using artificial neural networks, we …
Comparative analysis of classical and Caputo models for COVID-19 spread: vaccination and stability assessment
Several epidemiological models use the Caputo fractional-order differential operator without
establishing its significance. This study verifies a Caputo operator-based fractional-order …
establishing its significance. This study verifies a Caputo operator-based fractional-order …
Why controlling the asymptomatic infection is important: A modelling study with stability and sensitivity analysis
J Pan, Z Chen, Y He, T Liu, X Cheng, J Xiao… - Fractal and …, 2022 - mdpi.com
The large proportion of asymptomatic patients is the major cause leading to the COVID-19
pandemic which is still a significant threat to the whole world. A six-dimensional ODE system …
pandemic which is still a significant threat to the whole world. A six-dimensional ODE system …
[HTML][HTML] Reconstruction of incidence reporting rate for SARS-CoV-2 Delta variant of COVID-19 pandemic in the US
A Smirnova, M Baroonian - Infectious Disease Modelling, 2024 - Elsevier
In recent years, advanced regularization techniques have emerged as a powerful tool aimed
at stable estimation of infectious disease parameters that are crucial for future projections …
at stable estimation of infectious disease parameters that are crucial for future projections …