View Complete Reference

Perez, J-C (2021)

The BFP (Benford-Fibonacci-Perez) method validates the consistency of COVID-19 epidemiological data in France and Italy

Preprints 2021060187.

ISSN/ISBN: Not available at this time. DOI: 10.20944/preprints202106.0187.v3



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.


Bibtex:
@misc{, author = {Jean=Claude Perez}, title = {{The BFP (Benford-Fibonacci-Perez) method validates the consistency of COVID-19 epidemiological data in France and Italy}}, year = {2021}, doi = {10.20944/preprints202106.0187.v3}, url = {https://www.preprints.org/manuscript/202106.0187/v3}, note = {Last accessed June 18, 2021}, }


Reference Type: Preprint

Subject Area(s): Medical Sciences