Scientific Research Publishing

Study on the Effects of Parameter Variation in the SEIRD Model on Infectious Disease Dynamics Based on Simulink ()

The research examines how different key parameters affect the SEIRD epidemic model through MATLAB Simulink simulations. The simulation model includes three scenarios which consist of a standard model ...
Europe PMC

Machine learning models for the prediction of the SEIRD variables for the COVID-19 pandemic based on a deep dependence analysis of variables.

The SEIRD (Susceptible, Exposed, Infected, Recovered, and Dead) model is a mathematical model based on dynamic equations; widely used for characterization of the COVID-19 pandemic. In this paper, a ...
GitHub

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IEEE

Prediction of the Spread of Covid-19 in Indonesia Using the SEIRD Model and Hybrid Model with ARIMA Correction

Abstract: Building an SEIRD segmentation model with life dynamics, estimating its parameters, and utilizing the ARIMA model to determine and predict the difference between the SEIRD model solution and ...
Europe PMC

Preliminary analysis of COVID-19 spread in Italy with an adaptive SEIRD model

In this paper we propose a Susceptible-Infected-Exposed-Recovered-Dead (SEIRD) differential model for the analysis and forecast of the COVID-19 spread in some regions of Italy, using the data from the ...
IEEE

Detection of COVID-19 using ResNet50, VGG19, MobileNet, and Forecasting; using Logistic Regression, Prophet, and SEIRD Model

Abstract: Artificial Intelligence can quickly identify hazardous viral strains in humans. To detect COVID-19 symptoms, AI algorithms can be used to train to examine medical images like X-rays and CT ...