A deep learning algorithm for modeling and forecasting of COVID-19 in five worst affected states of India

In this paper, deep learning is employed to propose an Artificial Neural Network (ANN) based online incremental learning technique for developing an adaptive and non-intrusive analytical model of Covid-19 pandemic to analyze the temporal dynamics of the disease spread. The model is able to intellige...

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Detalles Bibliográficos
Autores principales: Farooq, Junaid, Bazaz, Mohammad Abid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier B.V. on behalf of Faculty of Engineering, Alexandria University. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7524678/
http://dx.doi.org/10.1016/j.aej.2020.09.037
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author Farooq, Junaid
Bazaz, Mohammad Abid
author_facet Farooq, Junaid
Bazaz, Mohammad Abid
author_sort Farooq, Junaid
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description In this paper, deep learning is employed to propose an Artificial Neural Network (ANN) based online incremental learning technique for developing an adaptive and non-intrusive analytical model of Covid-19 pandemic to analyze the temporal dynamics of the disease spread. The model is able to intelligently adapt to new ground realities in real-time eliminating the need to retrain the model from scratch every time a new data set is received from the continuously evolving training data. The model is validated with the historical data and a forecast of the disease spread for 30-days is given in the five worst affected states of India.
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spelling pubmed-75246782020-09-30 A deep learning algorithm for modeling and forecasting of COVID-19 in five worst affected states of India Farooq, Junaid Bazaz, Mohammad Abid Alexandria Engineering Journal Article In this paper, deep learning is employed to propose an Artificial Neural Network (ANN) based online incremental learning technique for developing an adaptive and non-intrusive analytical model of Covid-19 pandemic to analyze the temporal dynamics of the disease spread. The model is able to intelligently adapt to new ground realities in real-time eliminating the need to retrain the model from scratch every time a new data set is received from the continuously evolving training data. The model is validated with the historical data and a forecast of the disease spread for 30-days is given in the five worst affected states of India. The Authors. Published by Elsevier B.V. on behalf of Faculty of Engineering, Alexandria University. 2021-02 2020-09-30 /pmc/articles/PMC7524678/ http://dx.doi.org/10.1016/j.aej.2020.09.037 Text en © 2020 The Authors. Published by Elsevier B.V. on behalf of Faculty of Engineering, Alexandria University. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Farooq, Junaid
Bazaz, Mohammad Abid
A deep learning algorithm for modeling and forecasting of COVID-19 in five worst affected states of India
title A deep learning algorithm for modeling and forecasting of COVID-19 in five worst affected states of India
title_full A deep learning algorithm for modeling and forecasting of COVID-19 in five worst affected states of India
title_fullStr A deep learning algorithm for modeling and forecasting of COVID-19 in five worst affected states of India
title_full_unstemmed A deep learning algorithm for modeling and forecasting of COVID-19 in five worst affected states of India
title_short A deep learning algorithm for modeling and forecasting of COVID-19 in five worst affected states of India
title_sort deep learning algorithm for modeling and forecasting of covid-19 in five worst affected states of india
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7524678/
http://dx.doi.org/10.1016/j.aej.2020.09.037
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AT farooqjunaid deeplearningalgorithmformodelingandforecastingofcovid19infiveworstaffectedstatesofindia
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