Open AccessArtificial intelligence effectively predicts the COVID-19 death rate in different UK cities
Author(s) -
Reza Yarbakhsh,
Seyed Ali Mortazavi,
Seyed Mohammad Javad Mortazavi,
Hossein Parsaei,
Dana Rad
Publication year - 2022
Publication title -
journal of intelligent and fuzzy systems
Language(s) - English
Resource type - Journals
eISSN - 1875-8967
pISSN - 1064-1246
DOI - 10.3233/jifs-219286
Subject(s) - covid-19 , globe , severe acute respiratory syndrome coronavirus , mortality rate , demography , geography , operations research , medicine , virology , outbreak , mathematics , pathology , sociology , disease , infectious disease (medical specialty) , ophthalmology
The emergence of a new variant of SARS-CoV-2 in the UK that is spreading more rapidly has raised great concerns not only in the UK but also whole Europe and other parts of the globe. The newly identified variant of SARS-CoV-2 that is reported to be more contagious has prompted many countries to ban travel to and from the UK. As of April 2, 2021, nearly 4.35 million confirmed cases of coronavirus (COVID-19) have been reported in the UK out of which more than 127,000 people have died. These numbers reveal a need for predictor models to assist with management, prevention, and treatment decisions. Here, we presented an Artificial Intelligence (AI) model to predict the death rate in various cities of the United Kingdom. Training and testing the model using the data available on the European data portal showed promising results with predicted R2 = 0.88.