Correlation Coefficient Model for Analyzing Effect of Temperature on COVID19 cases in India
2021 Sixth International Conference on Image Information Processing (ICIIP), 2021
During the year 2020, the world witnessed the terror and threat of a new type of infection. The C... more During the year 2020, the world witnessed the terror and threat of a new type of infection. The Corona Virus Disease (COVID19) was first identified in Wuhan, China, and spread worldwide. The infection was categorized as an acute respiratory syndrome and can cause causality amongst humans if timely treatment is not available. India is amongst the countries worst hit by COVID19. A country with a dense population and diversified weather conditions in different states is dealing with a highly contagious infection. Irregular ups and downs in the cases can be due to the changing temperature all around the year. This study aims to identify the relation between the temperature and the number of cases. For this purpose, the paper calculates the correlation coefficient between the temperate and the number of cases for different states of India. The study aims to analyze if the temperature of these states impacts the daily cases detected. A null hypothesis is subjected to the Pearson Product Moment Correlation Coefficient test for analysis, and the results are analyzed.
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Papers by SUCHI JOHARI