I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as.
The details of the IRB/oversight body that provided approval or exemption for the research described are given below:Įthics committee approvals not required for this studyĪll necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived. I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained. This research was supported partially by the research grant scheme of TEQIP-III, MNIT Jaipur. The authors have declared no competing interest. The findings of this research will help the policymakers to identify risky geographic areas and enforce timely preventive measures. The cities with very high humidity levels or dry weather conditions have high probabilities of recovery from COVID-19. The rise in average temperature will improve the recovery rate in the days to come. We investigated that the average Humidity and Average Temperature seven days ago play a significant role in the recovery of coronavirus cases. In this regard, we compiled a daily dataset including confirmed case counts, Recovered case counts, Deceased cases, Average Temperature, Maximum Relative Humidity, Maximum Wind Speed for six most affected states of India during the period of Mato April 24, 2020. The Kendall and Spearman rank correlation tests were chosen to conduct the statistical analysis. In this study, we hypothesize that the weather indicators could significantly influence the impact of the corona virus. The present study examines the impact of weather indicators on the COVID-19 outbreak in the majorly affected states of India.
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