Statistical interpretation of environmental influencing parameters on COVID-19 during the lockdown in Delhi, India.

ABSTRACT: The novel coronavirus disease is known as COVID-19, which is declared as a pandemic by the World Health Organization during March 2020. In this study, the COVID-19 connection with various weather parameters like temperature, wind speed, and relative humidity is investigated and the future scenario of COVID-19 is predicted based on the Gaussian model (GM). This study is conducted in Delhi, the capital city of India, during the lowest mobility rate due to strict lockdown nationwide for about two months from March 15 to May 17, 2020. Spearman correlation is applied to obtain the interconnection of COVID-19 cases with weather parameters. Based on statistical analysis, this has been observed that the temperature parameter shows a significant positive trend during the period of study. The number

SUBMITTER: Awasthi A 

PROVIDER: S-EPMC7515685 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature