Article

Prediction and control of COVID-19 infection based on a hybrid intelligent model

2020-10-27

Abstract excerpt

The coronavirus (COVID-19) is a highly infectious disease that emerged in the late December 2019 in Wuhan, China, and it has caused a worldwide outbreak, which represents a major threat to global health. It is important to design prediction research and control strategies to crush its exploding. In this study, a hybrid intelligent model is proposed to simulate the spreading dynamics of COVID-19. First, considering...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: ba2c911b-cf2a-5ddd-ab9d-b193c409f728
DOI: 10.1101/2020.10.22.20218032

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Prediction and control of COVID-19 infection based on a hybrid intelligent modelDOI 10.1101/2020.10.22.20218032Read

Review of Forecasting Models for Coronavirus (COVID-19) Pandemic in India during Country-wise LockdownsSemantic proximity Read

Epidemic Model Guided Machine Learning for COVID-19 Forecasts in the United StatesSemantic proximity Read

A Machine Learning-enabled SIR Model for Adaptive and Dynamic Forecasting of COVID-19Semantic proximity Read

Modelling for prediction of the spread and severity of COVID-19 and its association with socioeconomic factors and virus typesSemantic proximity Read

Prediction of Second Wave of COVID-19 in India using the Modified SEIR ModelSemantic proximity Read

Deep Learning and Holt-Trend Algorithms for predicting COVID-19 pandemicSemantic proximity Read

Machine Learning Approach for Confirmation of COVID-19 Cases: Positive, Negative, Death and ReleaseSemantic proximity Read

Summaries, Analysis and Simulations of Recent COVID-19 Epidemic in Mainland China During December 31 2021-December 6 2022Semantic proximity Read

A Survey on Machine Learning and Internet of Medical Things-Based Approaches for Handling COVID-19: Meta-AnalysisSemantic proximity Read

Memory-Dependent Model for the Dynamics of COVID-19 PandemicSemantic proximity Read

A machine learning aided global diagnostic and comparative tool to assess effect of quarantine control in Covid-19 spreadSemantic proximity Read

Modelling the transmission dynamics of COVID-19 in six high burden countriesSemantic proximity Read