Statistical Analysis to find an Impact of Temperature on novel Coronavirus

Chesta Dhingra

No rkxe7, OSF Preprints from Center for Open Science

Abstract: The study tries to explain the impact of high temperature on the number of confirmed cases by excluding all measures that have been taken by specific governments in certain global hot spots like New York City, Lombardy, Madrid (Spain) and Maharashtra. Some statistical analysis like F-statistical test, ANOVA and t-test have been performed to know how much variance is there among the regions for the parameters 1) proportion of cumulative confirmed cases to the whole population and 2) mean temperature. The analysis includes graphs to have a clear visualization at a first glance for all four zones that have been taken for case study and ends with the all statistical results, discussion and conclusion of the tests that have been performed.

Date: 2020-09-02
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://osf.io/download/5f4f1b97a392b900271d7593/

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:rkxe7

DOI: 10.31219/osf.io/rkxe7

Access Statistics for this paper

More papers in OSF Preprints from Center for Open Science
Bibliographic data for series maintained by OSF ().