Predicting the impact of the third wave of COVID-19 in India using hybrid statistical machine learning models: A time series forecasting and sentiment analysis approach

Forecasting COVID-19 confirmed cases, deaths and recoveries: Revisiting established time series modeling through novel applications for the USA and Italy

(2021) Emrah Gecili et al.   PLoS One

Forecasting of COVID-19 cases using Deep learning models: Is it reliable and practically significant?

(2021) Jayanthi Devaraj et al.   Results in Physics

Forecasting the dynamics of cumulative COVID-19 cases (confirmed, recovered and deaths) for top-16 countries using statistical machine learning models: Auto-Regressive Integrated Moving Average (ARIMA) and Seasonal Auto-Regressive Integrated Moving Average (SARIMA)

(2021) K.E. ArunKumar et al.   APPLIED SOFT COMPUTING

Modeling and forecasting number of confirmed and death caused COVID-19 in IRAN: A comparison of time series forecasting methods

(2021) Nasrin Talkhi et al.   Biomedical Signal Processing and Control

A Python based Support Vector Regression Model for prediction of Covid19 cases in India

(2020) Debanjan Parbat et al.   CHAOS SOLITONS & FRACTALS

Time Series Analysis and Forecast of the COVID-19 Pandemic in India using Genetic Programming

(2020) Rohit Salgotra et al.   CHAOS SOLITONS & FRACTALS

When a system breaks: queueing theory model of intensive care bed needs during the COVID ‐19 pandemic

(2020) Hamish DD Meares et al.   MEDICAL JOURNAL OF AUSTRALIA

Time series modelling to forecast the confirmed and recovered cases of COVID-19

(2020) Mohsen Maleki et al.   Travel Medicine and Infectious Disease

Time series forecasting of COVID-19 transmission in Canada using LSTM networks

(2020) Vinay Kumar Reddy Chimmula et al.   CHAOS SOLITONS & FRACTALS

Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil

(2020) Matheus Henrique Dal Molin Ribeiro et al.   CHAOS SOLITONS & FRACTALS

Estimation of COVID-19 prevalence in Italy, Spain, and France

(2020) Zeynep Ceylan   SCIENCE OF THE TOTAL ENVIRONMENT

Forecasting the spread of the COVID-19 pandemic in Saudi Arabia using ARIMA prediction model under current public health interventions

(2020) Saleh I. Alzahrani et al.   Journal of Infection and Public Health

Comparative analysis and forecasting of COVID-19 cases in various European countries with ARIMA, NARNN and LSTM approaches

(2020) İsmail Kırbaş et al.   CHAOS SOLITONS & FRACTALS

Analysis and prediction of confirmed COVID-19 cases in China with uncertain time series

(2020) Tingqing Ye et al.   Fuzzy Optimization and Decision Making

ARIMA models for predicting the end of COVID-19 pandemic and the risk of second rebound

(2020) Zohair Malki et al.   NEURAL COMPUTING & APPLICATIONS

Prediction of COVID-19 confirmed cases combining deep learning methods and Bayesian optimization

(2020) Hossein Abbasimehr et al.   CHAOS SOLITONS & FRACTALS

Modeling and prediction of COVID-19 spread in the Philippines by October 13, 2020, by using the VARMAX time series method with preventive measures

(2020) Parikshit Gautam Jamdade et al.   Results in Physics

COVID-19 cases prediction by using hybrid machine learning and beetle antennae search approach

(2020) Miodrag Zivkovic et al.   Sustainable Cities and Society

Reducing demand uncertainty in the platelet supply chain through artificial neural networks and ARIMA models

(2019) Bahareh Fanoodi et al.   COMPUTERS IN BIOLOGY AND MEDICINE