Kalman filter based short term prediction model for COVID-19 spread

KK Singh, S Kumar, P Dixit, MK Bajpai - Applied Intelligence, 2021 - Springer
Abstract Corona Virus Disease 2019 (COVID19) has emerged as a global medical
emergency in the contemporary time. The spread scenario of this pandemic has shown …

[HTML][HTML] Application of optimal control to the dynamics of COVID-19 disease in South Africa

SP Gatyeni, CW Chukwu, F Chirove, F Nyabadza - Scientific African, 2022 - Elsevier
Abstract SARS-CoV-2 (COVID-19) belongs to the beta-coronavirus family, which include: the
severe acute respiratory syndrome coronavirus (SARS-CoV) and the Middle East respiratory …

Underlying principles of a Covid-19 behavioral vaccine for a sustainable cultural change

KC Couto, F Moura Lorenzo, M Tagliabue… - International Journal of …, 2020 - mdpi.com
Until pharmacological measures are effective at containing the COVID-19 outbreak,
adopting protective behaviors is paramount. In this work, we aim at informing interventions to …

A Time-dependent mathematical model for COVID-19 transmission dynamics and analysis of critical and hospitalized cases with bed requirements

A Singh, MK Bajpai, SL Gupta - Machine Vision and Augmented …, 2023 - Springer
A time-dependent SEAIHCRD model is the extension of the SEIR model, which includes
some new compartment that is asymptomatic infectious people, hospitalized people, critical …

SEIHCRD model for COVID-19 spread scenarios, disease predictions and estimates the basic reproduction number, case fatality rate, hospital, and ICU beds …

A Singh, MK Bajpai - Computer Modeling in Engineering & …, 2020 - ingentaconnect.com
We have proposed a new mathematical method, the SEIHCRD model, which has an
excellent potential to predict the incidence of COVID-19 diseases. Our proposed SEIHCRD …

Analytical Study of Deep Learning‐Based Preventive Measures of COVID‐19 for Decision Making and Aggregation via the RISTECB Model

I Ahmad, SJ Xu, A Khatoon, U Tariq, I Khan… - Scientific …, 2022 - Wiley Online Library
Coronavirus disease (COVID‐19) primarily spreads through imbalanced social distancing
practices. Automatic analysis is possible through deep learning‐based methods to …

Low-Frequency Electronically Tunable Fractional Filter and its Implementation as Neural Network

S Tasneem, RK Ranjan, SK Paul - Journal of Circuits, Systems and …, 2024 - World Scientific
A fractional low-pass filter operating in a low-frequency range is necessary for the filtering of
biomedical signals. Thus, we propose a fractional low-pass filter of order (1+ α) which is …

[HTML][HTML] Optimizing Contact Network Topological Parameters of Urban Populations Using the Genetic Algorithm

AR Sergio, PHT Schimit - Entropy, 2024 - mdpi.com
This paper explores the application of complex network models and genetic algorithms in
epidemiological modeling. By considering the small-world and Barabási–Albert network …

Efficient Machine Learning and Factional Calculus Based Mathematical Model for Early COVID Prediction

SK Chandra, MK Bajpai - Human-Centric Intelligent Systems, 2023 - Springer
Diseases are increasing with exponential rate worldwide. Its detection is challenging task
due to unavailability of the experts. Machine learning models provide automated mechanism …

Chaos and Control of COVID-19 Dynamical System

V Mishra, S Maitra, M Dash, SK Agrawal… - Chaos Theory and …, 2023 - dergipark.org.tr
Chaos, which is found in many dynamical systems, due to the presence of chaos, systems
behave erratically. Due to its erratic behavior, the chaotic behavior of the system needs to be …