An overview of forecast analysis with ARIMA models during the COVID-19 pandemic: Methodology and case study in Brazil
This comprehensive overview focuses on the issues presented by the pandemic due to
COVID-19, understanding its spread and the wide-ranging effects of government-imposed …
COVID-19, understanding its spread and the wide-ranging effects of government-imposed …
Application of machine learning in the prediction of COVID-19 daily new cases: A scoping review
COVID-19 has produced a global pandemic affecting all over of the world. Prediction of the
rate of COVID-19 spread and modeling of its course have critical impact on both health …
rate of COVID-19 spread and modeling of its course have critical impact on both health …
[HTML][HTML] On the accuracy of ARIMA based prediction of COVID-19 spread
H Alabdulrazzaq, MN Alenezi, Y Rawajfih… - Results in Physics, 2021 - Elsevier
COVID-19 was declared a global pandemic by the World Health Organization in March
2020, and has infected more than 4 million people worldwide with over 300,000 deaths by …
2020, and has infected more than 4 million people worldwide with over 300,000 deaths by …
[HTML][HTML] Forecasting of COVID-19 cases using deep learning models: Is it reliable and practically significant?
J Devaraj, RM Elavarasan, R Pugazhendhi… - Results in Physics, 2021 - Elsevier
The ongoing outbreak of the COVID-19 pandemic prevails as an ultimatum to the global
economic growth and henceforth, all of society since neither a curing drug nor a preventing …
economic growth and henceforth, all of society since neither a curing drug nor a preventing …
Comparison of ARIMA, ETS, NNAR, TBATS and hybrid models to forecast the second wave of COVID-19 hospitalizations in Italy
G Perone - The European Journal of Health Economics, 2021 - Springer
Abstract The coronavirus disease (COVID-19) is a severe, ongoing, novel pandemic that
emerged in Wuhan, China, in December 2019. As of January 21, 2021, the virus had …
emerged in Wuhan, China, in December 2019. As of January 21, 2021, the virus had …
An approach to forecast impact of Covid‐19 using supervised machine learning model
S Mohan, A Abugabah, S Kumar Singh… - Software: Practice …, 2022 - Wiley Online Library
The Covid‐19 pandemic has emerged as one of the most disquieting worldwide public
health emergencies of the 21st century and has thrown into sharp relief, among other …
health emergencies of the 21st century and has thrown into sharp relief, among other …
Modeling and forecasting number of confirmed and death caused COVID-19 in IRAN: A comparison of time series forecasting methods
N Talkhi, NA Fatemi, Z Ataei, MJ Nooghabi - Biomedical signal processing …, 2021 - Elsevier
Background The COVID-19 pandemic conditions are still prevalent in Iran and other
countries and the monitoring system is gradually discovering new cases every day …
countries and the monitoring system is gradually discovering new cases every day …
Deep learning for Covid-19 forecasting: State-of-the-art review.
The Covid-19 pandemic has galvanized scientists to apply machine learning methods to
help combat the crisis. Despite the significant amount of research there exists no …
help combat the crisis. Despite the significant amount of research there exists no …
[HTML][HTML] The global case-fatality rate of COVID-19 has been declining since May 2020
The objective of this study was to evaluate the trend of reported case fatality rate (rCFR) of
COVID-19 over time, using globally reported COVID-19 cases and mortality data. We …
COVID-19 over time, using globally reported COVID-19 cases and mortality data. We …
Trends in suicide deaths before and after the COVID-19 outbreak in Korea
S Ryu, HJ Nam, M Jhon, JY Lee, JM Kim, SW Kim - PLoS One, 2022 - journals.plos.org
We investigated the effect of the coronavirus disease-2019 (COVID-19) pandemic on suicide
trends in Korea via a time-series analysis. We used Facebook Prophet to generate …
trends in Korea via a time-series analysis. We used Facebook Prophet to generate …