<?xml version="1.0" encoding="UTF-8"?>
<ArticalData xmlns="http://www.consortiumpublisher.com">
  <Header>
    <ArticleTitle>A STATISTICAL ANALYSIS OF COVID-19 DATA OF PAKISTAN BY APPLYING BENFORD’S LAW</ArticleTitle>
  </Header>
  <ArticleParameters>
    <ArticleReceivingDate>2021-09-05</ArticleReceivingDate>
    <ArticleRevisedDate>2021-09-09</ArticleRevisedDate>
    <ArticleAcceptanceDate>2021-10-15</ArticleAcceptanceDate>
    <ArticlePublishedOn>10/2/2024 11:28:37 AM</ArticlePublishedOn>
    <Journal>Journal of Applied Pharmacy</Journal>
    <Volume>13</Volume>
    <Year>2021</Year>
    <ArticleType>Review article</ArticleType>
    <FirstPage>55</FirstPage>
    <LastPage>60</LastPage>
    <CollectionYear>2021</CollectionYear>
    <ArticleDoi>http://dx.doi.org /10.21065/19204159.13.55</ArticleDoi>
    <Language>English</Language>
  </ArticleParameters>
  <Authors>
    <ArticleAuthors>Anab Fatima1, Sheikh Abdul Khaliq², Ishrat Younas 3</ArticleAuthors>
  </Authors>
  <keywords>
    <Articlekeywords>Benford’s Law, COVID -19, Pakistan, epidemiology, SARS</Articlekeywords>
  </keywords>
  <Abstract>
    <ArticleAbstract>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 Newcomb 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 New-comb Benford’s Law assumption.</ArticleAbstract>
  </Abstract>
</ArticalData>