Journal of Applied Pharmacy 13, pp. 55-60.
ISSN/ISBN: Not available at this time. DOI: Not available at this time.
There are no links available at this time.
Abstract: We applied New-comb Benford’s Law to validate the reliability of Covid -19 figures in Pakistan. Official data were taken from March 2020 till November 2020 and the first digit test is applied for the national aggregate dataset of total cases. There are shreds of evidence that the dataset of Pakistan does not conform to the New- comb Benford’s Law theoretical expectations. The results are robust to the goodness of fit by applying the chi-square test. Although it is appreciating to concern over evidence-based policymaking, we found that the Pakistani epidemiological surveillance system fails to provide trustful data as per Newcomb Benford’s Law assumption.
Bibtex:
@article{,
author = {Fatima Anab and Sheikh Abdul Khaliq and Ishrat Younas},
title = {A Statistical Analysis of Covid-19 Data of Pakistan by Applying Benford’s Law},
journal = {Journal of Applied Pharmacy},
volume = {13},
pages = {55--60},
url = {https://cps.consortiumpublisher.ca/index.php/jap/article/viewFile/736/695},
}
Reference Type: Journal Article
Subject Area(s): Medical Sciences