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Version 1
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A Statistical Analysis on Recovery Cases of Covid19 in India
Version 1
: Received: 8 November 2020 / Approved: 9 November 2020 / Online: 9 November 2020 (16:15:21 CET)
(This article belongs to the Research Topic Pre-Graduate and Post-Graduate Medical Education in the Health Sciences)
How to cite: DATTA, J. A Statistical Analysis on Recovery Cases of Covid19 in India. Preprints 2020, 2020110284. https://doi.org/10.20944/preprints202011.0284.v1 DATTA, J. A Statistical Analysis on Recovery Cases of Covid19 in India. Preprints 2020, 2020110284. https://doi.org/10.20944/preprints202011.0284.v1
Abstract
In this report the positive cases of Covid19 in India with effect from 7th September ,2020 to 25th October ,2020 are analysed for statistical relevance . The scattered data are used to find out a model equation correlating two variables number of recovered Covid –patient with an interval of regular seven days . The best fit regression analysis shows a significant correlation of Pearson coefficient (r) with standard error ( s ) with a probable lower mortality rate . Finally the limitations of this analysis is discussed herewith .
Keywords
Covid19; Best fit regression; Hyperbolic fit; Recovery rate; Reproducibity of research
Subject
Medicine and Pharmacology, Immunology and Allergy
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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