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

Clinical Presentations of Suspected and Confirmed COVID-19 Cases in Shahroud, Iran

Background and Objective: COVID-19 is a serious disease with different symptoms and risk factors infecting and killing many people around the world. This study was performed to investigate the demographic and clinical characteristics of COVID-19 suspects referred to the hospitals and coronavirus treatment centers of Shahroud, Iran. Materials and Methods: Upon the outbreak of the COVID-19 epide...

Using Wavelets and Splines to Forecast Non-Stationary Time Series

 This paper deals with a short term forecasting non-stationary time series using wavelets and splines. Wavelets can decompose the series as the sum of two low and high frequency components. Aminghafari and Poggi (2007) proposed to predict high frequency component by wavelets and extrapolate low frequency component by local polynomial fitting. We propose to forecast non-stationary process u...

Clinical Presentations of Iranian Confirmed COVID-19 Patients at the Admission Time: A Preliminary Retrospective Study

Background and Aims: The current preliminary study aimed to assess the clinical symptoms of the 67 Iranian COVID-19 patients and investigate the possible beneficial effects of the naproxen compared to the standard therapeutic regimen. Materials and Methods: We assessed 67 COVID-19 patients. All COVID-19 cases were confirmed by computed tomography (CT) and real time-polymerase chain reaction te...

Time Series Modeling of Coronavirus (COVID-19) Spread in Iran

Various types of Coronaviruses are enveloped RNA viruses from the Corona-viridae family and part of the Coronavirinae subfamily. This family of viruses affects neurological, gastrointestinal, hepatic, and respiratory systems. Recently, a new memb-er of this family, named Covid-19, is moving around the world. The expansion of Covid-19 carries many risks, and its control requires strict planning ...

A Comparison Between Time Series, Exponential Smoothing, and Neural Network Methods To Forecast GDP of Iran