Susceptibility and Sustainability of India against CoVid19: a multivariate approach

Soumi Ray; Mitu Roy

After creating a clean dataset with these four features, statistical analysis was done to check if any useful correlation is present. This analysis offers a prominent correlation, ρ = 0.634 with high acceptance, p = 0.024. The features are plotted in figure 7 along with increasing death rate. In the figure, Singapore, Australia and France have shown exception in vaccination impact. The probable reason can be the temperature. Both Singapore and Australia are hot countries. Australia is not prone to any lungs disease and Singapore has low tendency of LC. On the other hand, France has low temperature and high impact of LC in country's death rate. Hence, a significant impact of these parameters can be assumed, and this needs further research for definite conclusion. In April, temperature remains significantly high in India (non-hill zones). In most of the areas, specially in the cities which are reporting high rate of cases and death, the lowest temperature remains higher than 15°C and maximum temperature goes well above 30°C. India also have different vaccination program for years and BCG vaccination is done for almost 90% of the population. The negative factor is that the lung diseases are very common in India. COPD (rank 2), LRI (rank 5) and tuberculosis (rank 6) are major causes of death here, though LC is not that common like other countries which are badly affected by CoVid19 pandemic. This information and data dependent statistical analysis is not self-sufficient to understand the nature of coronavirus. Along with this geographic, demographic and meteorological analysis, information from other branches of science like virology, biotechnology must be considered. An important finding about such pandemic is their sudden disappearance after few months. It happened every time in the world's history. Not considering the expected life of SARS-Cov2 with respect to environmental conditions and continuous mutation will be impractical. The faster the virus will selflimit itself, the earlier the rate of infection will go down.