A Time Series Forecast of COVID-19 Infections, Recoveries and Fatalities in Nigeria

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 time-series analysis of the demand for life insurance in iran

با توجه به تجزیه و تحلیل داده ها ما دریافتیم که سطح درامد و تعداد نمایندگیها باتقاضای بیمه عمر رابطه مستقیم دارند و نرخ بهره و بار تکفل با تقاضای بیمه عمر رابطه عکس دارند

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...

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

Neurologic manifestations in patients with COVID-19: A case series

Background: There are very few reports about the neurological complications of COVID-19. Case Presentation: Herein we present neurological manifestations in 2 hospitalized patients with COVID-19. The patients showed most common symptoms of COVID-19 along with common conflicts in CT scans of lung such as ground-glass opacities (GGOs). First case revealed two episodes of generalized tonic–clonic...