3. Results and discussion
Sharp rise in daily infective as well as active cases are noted together with mortality rate. But in a dense country like India recovery rate is also satisfactory. India is considered as warm country and temperature plays important role in spread of COVID-19. During the Year 2020, maximum temperature varies from 2 to 45°C and minimum temperature varies from -5 to 31°C. With rise of temperature the droplets which falls on the ground immediately dries due to extreme temperature. The areas where the daily fluctuation rate of temperature is high suffers a lot. In India from March onwards the COVID-19 is at its peak the temperature is also not so much high but from April onwards there is slight decline in number of cases (Figure 1). But spread of any pandemic diseases also depends upon personal contact. Government of India implemented strict rules of Lockdown as there is no other alternatives as there is no vaccine and no other medicines to control them. Less number of cases in dense country like India is also possible due to strong implementation of lockdown.
The temperature dependency of COVID-19 may be similar to that of SARS-Cov which loses its ability to survive in higher temperatures (Chan et al., 2011), due to the breakdown of their lipid layer at higher temperatures (Schoeman and Fielding, 2019) . With approaching summer, there is redundancy in number of cases it may also be that the temperature ranges we have seen so far for most of the cases upto 17 to 18 °C the virus is at its peak but as the temperature approaches tpwards 25°C the peak gradually declines.
Table 1 and Table 2 presents the empirical correlation coefficients with scatter plot on Figure 2 . From both tables it is clear that tempmax has more positve correlation with distribution of COVID-19. It clearly suggests that maxtemperature has inhibitory effect on COVID-19 whereas minmtemp supports the spread of the disease. Previous studies of Tan et al. (2005) and Vandini et al. (2013) support our findings. Shi et al. (2020) and Bashir et al. (2020) also researched climate indicators and stated that temperature serves as a driver for the COVID-19.
Despite strong evidence of temperature association with COVID-19, provides the following limitations. First, more variables are needed to conduct a comprehensive study as COVID-19 is an infectious disease and it is affected by many variables such as humidity, rainfall, wind speed, social distancing, people’s endurance and availability of health facilities. Second, data about personal hygiene indicators such as hand wash needs to be explored in further studies.