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Statistical Analysis to find an Impact of Temperature on novel Coronavirus

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  • Dhingra, Chesta

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.

Suggested Citation

  • Dhingra, Chesta, 2020. "Statistical Analysis to find an Impact of Temperature on novel Coronavirus," OSF Preprints rkxe7, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:rkxe7
    DOI: 10.31219/osf.io/rkxe7
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