Advanced Techniques in Biology & Medicine
Open Access

Department of Electronics and Communication Engineering, Netaji Subhas University of Technology, Dwarka, New Delhi, India

Publications

• Research Article   
  A Comparative Study of ARIMA and SARIMA Models to Forecast Lockdowns due to SARS-CoV-2
  Author(s): Hardik Chhabra* and Anubhav Chauhan
  
  By predicting the implementation of intelligent lockdown before the onset of waves, this research offers an efficient method to address the COVID-19 pandemic. This study introduces unified Autoregressive Integrated Moving Average (ARIMA) and Seasonal Autoregressive Integrated Moving Average (SARIMA) models that are capable of predicting lockdowns in more than 200+ nations. The proposed model was trained over 18,000 dataset of 237 nations and has a response time of 2.5 months. The auto-ARIMA model was used to pick the initial variations of the model parameters and then the optimal model parameters were found based on the best match between the forecasts and test data. The models reliability was evaluated using the analytical methods Auto Correlation Function (ACF), Partial Auto-Correlation Function (PACF), Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC). The.. View More»
  DOI: 10.35248/2379-1764.23.11.399

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