@article{fe58fc00d8194920ad022c97dd77d6ba,
title = "Predicting the economic impact of the COVID-19 pandemic in the United Kingdom using time-series mining",
keywords = "COVID-19, Economic impacts, Gross domestic products, Industry, UK",
author = "Ahmed Rakha and Hansi Hettiarachchi and Dina Rady and Gaber, {Mohamed Medhat} and Emad Rakha and Abdelsamea, {Mohammed M.}",
note = "Funding Information: We would like to thank Isabelle B{\"u}lthoff and Lewis Chuang for helpful discussions on earlier drafts of the manuscript. We gratefully acknowledge the support of the Humboldt Foundation (Feodor-Lynen Stipend to KSP), the Max Planck Society and the WCU (World Class University) program through the National Research Foundation of Korea funded by the Ministry of Education, Science and Technology (R31-2008-000-10008-0). Publisher Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.",
year = "2021",
month = dec,
doi = "10.3390/economies9040137",
language = "English",
volume = "9",
journal = "Economies",
issn = "2227-7099",
publisher = "MDPI",
number = "4",
}