A review on COVID-19 forecasting models

Optimization Method for Forecasting Confirmed Cases of COVID-19 in China

(2020) Mohammed A. A. Al-qaness et al.   Journal of Clinical Medicine

Analysis and forecast of COVID-19 spreading in China, Italy and France

(2020) Duccio Fanelli et al.   CHAOS SOLITONS & FRACTALS

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

Prediction for Progression Risk in Patients with COVID-19 Pneumonia: the CALL Score

(2020) Dong Ji et al.   CLINICAL INFECTIOUS DISEASES

COVID-19 virus outbreak forecasting of registered and recovered cases after sixty day lockdown in Italy: A data driven model approach

(2020) Nalini Chintalapudi et al.   JOURNAL OF MICROBIOLOGY IMMUNOLOGY AND INFECTION

Data-based analysis, modelling and forecasting of the COVID-19 outbreak

(2020) Cleo Anastassopoulou et al.   PLoS One

A machine learning forecasting model for COVID-19 pandemic in India

(2020) R. Sujath et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

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

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

Naive Forecast for COVID-19 in Utah Based on the South Korea and Italy Models-the Fluctuation between Two Extremes

(2020) Fares Qeadan et al.   International Journal of Environmental Research and Public Health

Forecasting the Spread of COVID-19 in Kuwait Using Compartmental and Logistic Regression Models

(2020) Abdullah M. Almeshal et al.   Applied Sciences-Basel

Forecasting COVID-19-Associated Hospitalizations under Different Levels of Social Distancing in Lombardy and Emilia-Romagna, Northern Italy: Results from an Extended SEIR Compartmental Model

(2020) Chiara Reno et al.   Journal of Clinical Medicine

Forecasting COVID-19

(2020) Matjaž Perc et al.   Frontiers in Physics

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

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

Real-time forecasts and risk assessment of novel coronavirus (COVID-19) cases: A data-driven analysis

(2020) Tanujit Chakraborty 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

Development of new hybrid model of discrete wavelet decomposition and autoregressive integrated moving average (ARIMA) models in application to one month forecast the casualties cases of COVID-19

(2020) Sarbjit Singh et al.   CHAOS SOLITONS & FRACTALS

Forecast and evaluation of COVID-19 spreading in USA with reduced-space Gaussian process regression

(2020) Ricardo Manuel Arias Velásquez et al.   CHAOS SOLITONS & FRACTALS

Early forecasting of the potential risk zones of COVID-19 in China's megacities

(2020) Hongyan Ren et al.   SCIENCE OF THE TOTAL ENVIRONMENT

SutteARIMA: Short-term forecasting method, a case: Covid-19 and stock market in Spain

(2020) Ansari Saleh Ahmar et al.   SCIENCE OF THE TOTAL ENVIRONMENT

COVID-19 transmission in Mainland China is associated with temperature and humidity: A time-series analysis

(2020) Hongchao Qi et al.   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

Partial derivative Nonlinear Global Pandemic Machine Learning prediction of COVID 19

(2020) Durga Prasad Kavadi et al.   CHAOS SOLITONS & FRACTALS

Nonlinear semiparametric autoregressive model with finite mixtures of scale mixtures of skew normal innovations

(2019) A. Hajrajabi et al.   JOURNAL OF APPLIED STATISTICS

Time series models based on the unrestricted skew-normal process

(2018) Parisa Zarrin et al.   JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION

Autoregressive Models with Mixture of Scale Mixtures of Gaussian Innovations

(2017) Mohsen Maleki et al.   Iranian Journal of Science and Technology Transaction A-Science

Maximum a-posteriori estimation of autoregressive processes based on finite mixtures of scale-mixtures of skew-normal distributions

(2016) Mohsen Maleki et al.   JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Application of several artificial intelligence models and ARIMAX model for forecasting drought using the Standardized Precipitation Index

(2014) A. Jalalkamali et al.   International Journal of Environmental Science and Technology

Representation Learning: A Review and New Perspectives

(2013) Y. Bengio et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Mapping knowledge structure by keyword co-occurrence: a first look at journal papers in Technology Foresight

(2010) Hsin-Ning Su et al.   SCIENTOMETRICS

Neural network architectures and learning algorithms

(2009) Bogdan Wilamowski   IEEE Industrial Electronics Magazine

Improving benders decomposition using a genetic algorithm

(2008) C.A. Poojari et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH