Susceptibility and Sustainability of India against CoVid19: a multivariate approach

Soumi Ray; Mitu Roy

We have divided our test result into different parts. In the first part we have discussed the impact of different weather parameters on the number of infected cases. We have not considered active cases because the number is ever changing with continuous addition of new cases, elimination of recovery numbers and deaths. Initially the number of infected cases increased rapidly due to lack of awareness, availability of more hosts, free movement of hosts etc. and then gradually decreased for enforcement of quarantine, growing awareness like washing our hands regularly, social distancing etc. These qualitative parameters are not traceable but have significant impact on the number of new cases. Different cities, selected in this article, have different geographical locations with widely varying atmospheric condition. If any of the considered weather parameters have a significant effect on infection transmission, then that will impact the transmission equally, irrespective of the location. The list of the cities with parameters details is given in the Appendix. We have taken data per million to nullify the population bias. As the virus can be transmitted from human to human and can travel a small distance through droplets with airflow, higher population increases the availability of new hosts and hence the rate of infection. Our target is to inspect the significance of that impact. This study is very important for India as its population is very high.