Booster dose vaccination and dynamics of COVID-19 pandemic in the fifth wave: an efficient and simple mathematical model for disease progression

T Theparod, P Kreabkhontho, W Teparos - Vaccines, 2023 - mdpi.com
Background: Mathematical studies exploring the impact of booster vaccine doses on the
recent COVID-19 waves are scarce, leading to ambiguity regarding the significance of …

[HTML][HTML] A deep learning BiLSTM encoding-decoding model for COVID-19 pandemic spread forecasting

AI Shahin, S Almotairi - Fractal and Fractional, 2021 - mdpi.com
The COVID-19 pandemic has widely spread with an increasing infection rate through more
than 200 countries. The governments of the world need to record the confirmed infectious …

[HTML][HTML] Novel class of susceptible–infectious–recovered models involving power-law interactions

G Kaniadakis - Physica A: Statistical Mechanics and its Applications, 2024 - Elsevier
It is shown that the ordinary SIR (Susceptible–Infectious–Recovered) epidemic model
exhibits features that are common to a class of compartmental models with power-law …

Model-informed COVID-19 exit strategy with projections of SARS-CoV-2 infections generated by variants in the Republic of Korea

S Jung, K Huh, M Radnaabaatar, J Jung - BMC Public Health, 2022 - Springer
Background With the prompt administration of coronavirus disease 2019 (COVID-19)
vaccines, highly vaccinated countries have begun to lift their stringent control measures …

Deep learning infused SIRVD model for COVID-19 prediction: XGBoost-SIRVD-LSTM approach

H Alkhalefah, D Preethi, N Khare, MH Abidi… - Frontiers in …, 2024 - frontiersin.org
The global impact of the ongoing COVID-19 pandemic, while somewhat contained, remains
a critical challenge that has tested the resilience of humanity. Accurate and timely prediction …

[HTML][HTML] SIR-solution for slowly time-dependent ratio between recovery and infection rates

M Kröger, R Schlickeiser - Physics, 2022 - mdpi.com
The temporal evolution of pandemics described by the susceptible-infectious-recovered
(SIR)-compartment model is sensitively determined by the time dependence of the infection …

Near-Exact Analytical Solution of the SIR-Model for the Precise Temporal Dynamics of Epidemics

R Schlickeiser, M Kröger - Applied Statistical Analysis and Computing, 2024 - sciltp.com
A near-exact analytical solution of the statistical Susceptible-Infectious-Recovered (SIR)
epidemics model for a constant ratio k0 of infection to recovery rates is derived. The derived …

The Role of Artificial Intelligence in the Control and Prevention of Infectious Diseases

A Aldubikhi - Journal of Health Informatics in Develo** Countries, 2023 - mail.jhidc.org
Artificial intelligence (AI) is being used more and more in a wide range of industries,
including healthcare, to improve operations by examining pertinent data. The detection and …

[PDF][PDF] Near-Exact Analytical Solution of the Sir-Model for the Precise Temporal Dynamics of Epidemics

M Kröger, R Schlickeiser - 2024 - preprints.org
A near-exact analytical solution of the statistical Susceptible-Infectious-Recovered (SIR)
epidemics model for a constant ratio k0 of infection to recovery rates is derived. The derived …

[PDF][PDF] Modeling and Analyzing the Dynamics of COVID-19: An Examination using the SIR Epidemic Model

R Singh, R Singh - researchgate.net
The COVID-19 pandemic has presented an unparalleled challenge to global health,
demanding a nuanced understanding of its transmission dynamics for effective mitigation …