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Article
The BFP (Benford-Fibonacci-Perez) Method Validates the Consistency of COVID-19 Epidemiological Data in France and Italy
This version is not peer-reviewed.
Submitted:
11 June 2021
Posted:
11 June 2021
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Abstract
The Benford method can be used to detect manipulation of epidemiological or trial data during the validation of new drugs. We extend here the Benford method after having detected particular properties for the Fibonacci values 1, 2, 3, 5 and 8 of the first decimal of 10 runs of official epidemiological data published in France and Italy (positive cases, intensive care, and deaths) for the periods of March 1 to May 30, 2020 and 2021, each with 91 raw data. This new method – called “BFP” for Benford-Fibonacci-Perez - is positive in all 10 cases (i.e. 910 values) with an average of favorable cases close to 80%, which, in our opinion, would validate the reliability of these basic data.
Keywords:
SARS-CoV2
; Biomathematics
; Benford law
; trials
; Epidemiology
; Fibonacci
; data analysis
; big data
Preprints on COVID-19 and SARS-CoV-2
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
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