Prediction of COVID-19 cases by multifactor driven long short-term memory (LSTM) model.

Publication date: Feb 10, 2025

Since December 2019, cases of COVID-19 have spread globally, caused millions of deaths and huge economic losses. To investigate the impact of different factors and predict the future trend, this study collects relevant data for 15 countries, containing 44 features in about 900 days, which can be classified into four groups: pandemic information, the characteristics of countries, climate, and prevention policies. Through the selection of several important features, we identified the factors that have stronger impact on the increase of new cases in different groups. Then, we use a long-time span data to predict the future COVID-19 new cases by training a long short-term memory (LSTM) model, a support vector regressor (SVR) and a temporal convolutional network (TCN), among which LSTM possessed the best performance and offered a good generalization ability. Under the metric of explained variance scores (EVS), the prediction performances were the most accurate for Germany (0. 864), Italy (0. 860) and the United States (0. 766). Overall, the results of this study may provide insight for predictions of number of COVID-19 new cases in more countries/regions and offer some insightful recommendation for governments to carry out more effective policies to prevent COVID-19.

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Concepts Keywords
December COVID-19
Germany COVID-19
Insightful Disease prediction
Pandemic Forecasting
Germany
Humans
Italy
LSTM
Machine learning
Memory, Short-Term
Neural Networks, Computer
Pandemic prevention policy
Pandemics
SARS-CoV-2
Support Vector Machine

Semantics

Type Source Name
disease MESH COVID-19
disease MESH Long Covid
disease MESH virus infections
disease MESH severe acute respiratory syndrome
disease MESH Middle East respiratory syndrome
disease MESH infections
disease MESH infectious diseases
disease IDO nucleic acid
disease IDO country
drug DRUGBANK Coenzyme M
drug DRUGBANK Flunarizine
disease IDO process
drug DRUGBANK Pentaerythritol tetranitrate
disease MESH death
disease IDO contact tracing
drug DRUGBANK Aspartame
pathway REACTOME Reproduction
disease MESH uncertainty
drug DRUGBANK L-Tryptophan
disease IDO cell
disease MESH residual block
drug DRUGBANK Tropicamide
disease MESH pneumonia
disease IDO contagiousness
drug DRUGBANK Serine
disease IDO infection
disease IDO algorithm

Original Article

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