[HTML][HTML] Epi-DNNs: Epidemiological priors informed deep neural networks for modeling COVID-19 dynamics
Differential equations-based epidemic compartmental models and deep neural networks-
based artificial intelligence (AI) models are powerful tools for analyzing and fighting the …
based artificial intelligence (AI) models are powerful tools for analyzing and fighting the …
[HTML][HTML] Virtual screening and molecular dynamics simulation analysis of Forsythoside A as a plant-derived inhibitor of SARS-CoV-2 3CLpro
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is a more severe strain of
coronavirus (CoV) that was first emerged in China in 2019. Available antiviral drugs could …
coronavirus (CoV) that was first emerged in China in 2019. Available antiviral drugs could …
SEIR model with unreported infected population and dynamic parameters for the spread of COVID-19
Abstract Coronavirus disease 2019 (COVID-19) is a contagious disease caused by severe
acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that can be transmitted through …
acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that can be transmitted through …
To study the transmission dynamic of SARS-CoV-2 using nonlinear saturated incidence rate
K Shah, T Abdeljawad, RU Din - Physica A: Statistical Mechanics and its …, 2022 - Elsevier
In this work, we construct a new SARS-CoV-2 mathematical model of SQIR type. The
considered model has four compartments as susceptible S, quarantine Q, infected I and …
considered model has four compartments as susceptible S, quarantine Q, infected I and …
[HTML][HTML] Mathematical modeling and analysis of a novel monkeypox virus spread integrating imperfect vaccination and nonlinear incidence rates
In this paper, we introduce a novel model that simulates the spread of the monkeypox virus.
The new model takes into account the effect of the interaction between the human and …
The new model takes into account the effect of the interaction between the human and …
Global stability and analysing the sensitivity of parameters of a multiple-susceptible population model of SARS-CoV-2 emphasising vaccination drive
RP Kumar, PK Santra, GS Mahapatra - Mathematics and Computers in …, 2023 - Elsevier
The study explores the dynamics of a COVID-19 epidemic in multiple susceptible
populations, including the various stages of vaccination administration. In the model, there …
populations, including the various stages of vaccination administration. In the model, there …
A fractional SEIQR model on diphtheria disease
The purpose of this paper is to study a fractional mathematical model on diphtheria disease,
considering the parameters of natural immunity, treatment, and vaccination. This model …
considering the parameters of natural immunity, treatment, and vaccination. This model …
Applications of Machine Learning (ML) and Mathematical Modeling (MM) in Healthcare with Special Focus on Cancer Prognosis and Anticancer Therapy: Current …
The use of data-driven high-throughput analytical techniques, which has given rise to
computational oncology, is undisputed. The widespread use of machine learning (ML) and …
computational oncology, is undisputed. The widespread use of machine learning (ML) and …
Mathematical Modeling and Numerical Simulation for the Outbreak of COVID‐19 Involving Loss of Immunity and Quarantined Class
For the analysis of the recent deadly pandemic Sars‐Cov‐2, we constructed the
mathematical model containing the whole population, partitioned into five different …
mathematical model containing the whole population, partitioned into five different …
A mathematical model of COVID-19 and the multi fears of the community during the epidemiological stage
Within two years, the world has experienced a pandemic phenomenon that changed almost
everything in the macro and micro-environment; the economy, the community's social life …
everything in the macro and micro-environment; the economy, the community's social life …