Association of Environmental Parameters with COVID-19 in Delhi, India

Indian journal of clinical biochemistry

article

Nikhilesh Ladha¹  Pankaj Bhardwaj¹  Jaykaran Charan²  Prasenjit Mitra³  Jagdish Prasad Goyal⁴  Praveen Sharma³  Kuldeep Singh⁴  Sanjeev Misra¹ 

[1] Department of Community and Family Medicine, All India Institute of Medical Sciences (AIIMS);Department of Pharmacology, All India Institute of Medical Sciences (AIIMS);Department of Pediatrics, All India Institute of Medical Sciences (AIIMS);Department of Biochemistry, All India Institute of Medical Sciences (AIIMS)

关键词: COVID-19 Temperature Humidity Cases;   

DOI  :  10.1007/s12291-020-00921-6

来源: Springer

【 摘 要 】

The present study explores the association between weather and COVID-19 pandemic in Delhi, India. The study used the data from daily newspaper releases from the Ministry of Health and Family Welfare, Government of India. Linear regression was run to understand the effect of the number of tests, temperature, and relative humidity on the number of COVID-19 cases in Delhi. The model was significantly able to predict number of COVID-19 cases, F (4,56) = 1213.61, p < 0.05, accounting for 99.4% of the variation in COVID-19 cases with adjusted R2 = 98.8%. Maximum Temperature, average temperature and average relative humidity did not show statistical significance. The only number of tests was significantly associated with COVID-19 cases.

【 授权许可】

Unknown