Susceptibility and Sustainability of India against CoVid19: a multivariate approach

Soumi Ray; Mitu Roy

The p-value in each case is high enough to support null hypothesis and reject any considerable correlation. But we decided to inspect further. Each parameter is examined separately to find any possible impact of CoVid19 deaths. This method offers exciting information about lowest temperature and highest temperature. We have considered death of 0.01% of population as the threshold. Above this rate is considered as a matter of concern. As per Central Intelligence Agency, present population of India is 1,326,093,247 [22] . The 0.01% of this population is about 1,32,609 which is a few thousand more than present death count all over world and not an ignorable count. The countries which experienced higher death rate (as well as death) had the minimum temperature below 0°C as shown in figure 1 . The Y-axes are changed to logarithmic scale to enhance the datapoint visibility. The linear trend lines are also shown in the figures for visual depiction of our understanding, that is with increase in minimum temperature the death rate and total death (hence infection rate) decreases. On contrary, for highest temperature of a place, a range of the temperatures has shown higher risk of death due to CoVid19. The countries with high death rate had highest day temperature in between 17 to 25 degree centigrade as per figure 2.