- India - State-wise Analysis
- Duration of illness
- Global vs India - Number of cases
- Confirmed
- Cured
- Active
- Deaths
- Forecasting the number of cases - India
- Confirmed
- Cured
- Active
- Deaths
In this task, we will be focusing on the state-wise analysis of
- Number and types of ICMR labs present
- Number and type of Health Facilities available
- Number of Confirmed, Cured, Active cases and Deaths occurred
- Population - Rural vs Urban
The model used for the analysis of the factors responsible will be :
- Linear regression
Here, we deduce the infectious period of SARS-CoV-2 based on the Diagnosed date and Status change date. cases_Global_&_India.R_
Comparing and visualizing the spread of COVID19 pandemic at a global as well as national level. Forecast.R
In this task, we will be focusing on forecasting the growth of COVID 19 patients in India using Time Series Analysis. Models used for the analysis will be :
- Simple Moving Average
- Weighted Moving Average
- Exponential Moving Average
- Auto ARIMA