Artificial Intelligence-Based Model for Predicting the Effect of Governments’ Measures on Community Mobility

Mobility is considered one of the main reasons for the COVID-19 spread. Predicting the effect of control measures on mobility is essential to apply effective decisions. This work proposes an AI-based model for mobility changes prediction. The proposed CNN-LSTM with Autoregression has achieved the be...

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Detalles Bibliográficos
Autores principales: Osman, Nada, Torki, Marwan, ElNainay, Mustafa, AlHaidari, Abdulrahman, Nabil, Emad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University. 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8788186/
http://dx.doi.org/10.1016/j.aej.2021.02.029
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author Osman, Nada
Torki, Marwan
ElNainay, Mustafa
AlHaidari, Abdulrahman
Nabil, Emad
author_facet Osman, Nada
Torki, Marwan
ElNainay, Mustafa
AlHaidari, Abdulrahman
Nabil, Emad
author_sort Osman, Nada
collection PubMed
description Mobility is considered one of the main reasons for the COVID-19 spread. Predicting the effect of control measures on mobility is essential to apply effective decisions. This work proposes an AI-based model for mobility changes prediction. The proposed CNN-LSTM with Autoregression has achieved the best results compared to other investigated models. Results show that the proposed model can predict the effect of precaution control measures on future community mobility with minimum loss. The mean absolute error over all countries in the study is [Formula: see text]. For Egypt and Saudi Arabia, the model achieved an MAE loss of [Formula: see text] and [Formula: see text] consecutively.
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spelling pubmed-87881862022-01-25 Artificial Intelligence-Based Model for Predicting the Effect of Governments’ Measures on Community Mobility Osman, Nada Torki, Marwan ElNainay, Mustafa AlHaidari, Abdulrahman Nabil, Emad Alexandria Engineering Journal Article Mobility is considered one of the main reasons for the COVID-19 spread. Predicting the effect of control measures on mobility is essential to apply effective decisions. This work proposes an AI-based model for mobility changes prediction. The proposed CNN-LSTM with Autoregression has achieved the best results compared to other investigated models. Results show that the proposed model can predict the effect of precaution control measures on future community mobility with minimum loss. The mean absolute error over all countries in the study is [Formula: see text]. For Egypt and Saudi Arabia, the model achieved an MAE loss of [Formula: see text] and [Formula: see text] consecutively. THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University. 2021-08 2021-03-03 /pmc/articles/PMC8788186/ http://dx.doi.org/10.1016/j.aej.2021.02.029 Text en © 2021 THE AUTHORS. Published by Elsevier BV 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
Osman, Nada
Torki, Marwan
ElNainay, Mustafa
AlHaidari, Abdulrahman
Nabil, Emad
Artificial Intelligence-Based Model for Predicting the Effect of Governments’ Measures on Community Mobility
title Artificial Intelligence-Based Model for Predicting the Effect of Governments’ Measures on Community Mobility
title_full Artificial Intelligence-Based Model for Predicting the Effect of Governments’ Measures on Community Mobility
title_fullStr Artificial Intelligence-Based Model for Predicting the Effect of Governments’ Measures on Community Mobility
title_full_unstemmed Artificial Intelligence-Based Model for Predicting the Effect of Governments’ Measures on Community Mobility
title_short Artificial Intelligence-Based Model for Predicting the Effect of Governments’ Measures on Community Mobility
title_sort artificial intelligence-based model for predicting the effect of governments’ measures on community mobility
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8788186/
http://dx.doi.org/10.1016/j.aej.2021.02.029
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