Two-Strain COVID-19 Model Using Delayed Dynamic System and Big Data

Two-Strain COVID-19 Model Using Delayed Dynamic System and Big Data

The proposed model is based on COVID-19 Big Data Hub. It enables us to predict pandemics development taking into account multiple virus strains and delays of infectiousness. Two-strain dynamic models with distributed delays have been fitted to the time series retrieved from COVID data hub. The data...

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Bibliographic Details
Main Authors: Vasyl Martsenyuk, Marcin Bernas, Aleksandra Klos-Witkowska
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Big data
COVID
delayed dynamic system
distributed delays
epidemiology
high-performance computing
Online Access:https://ieeexplore.ieee.org/document/9513276/

Internet

https://ieeexplore.ieee.org/document/9513276/

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