Preprint Article Version 2 Preserved in Portico This version is not peer-reviewed

The BFP (Benford-Fibonacci-Perez) Method Validates the Consistency of COVID-19 Epidemiological Data in France and Italy

Version 1 : Received: 4 June 2021 / Approved: 7 June 2021 / Online: 7 June 2021 (14:25:44 CEST)
Version 2 : Received: 7 June 2021 / Approved: 8 June 2021 / Online: 8 June 2021 (10:19:38 CEST)
Version 3 : Received: 11 June 2021 / Approved: 11 June 2021 / Online: 11 June 2021 (15:47:44 CEST)

How to cite: Perez, J. The BFP (Benford-Fibonacci-Perez) Method Validates the Consistency of COVID-19 Epidemiological Data in France and Italy. Preprints 2021, 2021060187 (doi: 10.20944/preprints202106.0187.v2). Perez, J. The BFP (Benford-Fibonacci-Perez) Method Validates the Consistency of COVID-19 Epidemiological Data in France and Italy. Preprints 2021, 2021060187 (doi: 10.20944/preprints202106.0187.v2).

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.

Subject Areas

SARS-CoV2; Biomathematics; Benford law; trials; Epidemiology; Fibonacci; data analysis; big data

Comments (1)

Comment 1
Received: 8 June 2021
Commenter: Jean-claude Perez
Commenter's Conflict of Interests: Author
Comment: Add a § comparing results with chance (91000 random values)
page 10
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