ABSTRACT
This study presented forecasting methods using Time Series Analysis for confirmed cases, the number of deaths and recovery cases, and individual vaccination status in different states of India. It aims to forecast the confirmed cases and mortality rate and develop an Artificial Intelligence method and different statistical methodologies that can help predict the future of Covid-19 cases. Various Forecasting methods in Time Series Analysis like ARIMA, Holt?s Trend, Naive, Simple Exponential Smoothing, TBATS, and MAPE are extended for the study. It also involved the Case Fatality Rate for the number of deaths and confirmed cases for respective states in India. This study includes the forecast values for the number of positive cases, cured patients, mortality rate, and case fatality rate for Covid-19 cases. Among all forecast methods involved in this study, the naive and simple exponential smoothing method shows an increased number of positive instances and cured patients.
ABSTRACT
Currently, the entire globe is facing a pandemic 'COVID-19' and the numbers are rising exponentially. Unfortunately, along with the triple burden of malnutrition and many non-communicable diseases, Corona virus has knocked India's door. As it is don't know for how long this battle will continue, the present review is an attempt to highlight the importance of non-pharmacological approaches like a balanced diet, stress management, adequate sleep and physical activity to build up a strong immune system, as it reduces the complications in individuals who are already at nutritional risk and might get exposed to the infection. Globally, scientists are working to find potential vaccines to combat COVID-19, meanwhile, it must utilize this time window in building our immunity by adopting a healthy dietary and other lifestyle measures. Hence, it is the need of the hour to build up immunity by adopting a holistic approach as there is no nutritional magic pill, which can boost immunity instantly.