Comparative analysis of Covid- 19 Data: A statistical approach for unraveling the relation between the awareness and healthcare system from Indian perspective

The Novel Corona virus disease caused by SARS-Cov-2 has been declared pandemic by WHO as it unanimously effected almost all the provinces over the globe. It has incapacitated poorer nations as well as paralyzed the healthcare system of world’s major economies like Europe and America. Several regulations and measures were put into place to control the spread of the virus and Statistical models been deduced for evaluating the infections in real time. In the present research, Python 3 and kaggle has been applied for data analysis of the dataset retrieved from the various Indian states. An attempt has been made to draw a conclusive relation between the healthcare systems and the awareness as regard to covid infections. There was positive and high co-relation (>0.95) values for total confirmed cases -discharged and first - second dose of vaccinations. A positive and high co relation value of 0.78 was obtained when plotted for total covid tests performed against vaccination while a negative co relation of value -0.117 obtained when percentage covid positive amongst the sample tested was plotted against the total covid test performed. This statistical analysis aid in understanding overall healthcare system of a state and immunity amongst Indian population