As it is known viral hepatitis, including hepatitis A, hepatitis B, and hepatitis C, are different
diseases that affect the liver and have different hepatitis symptoms and treatments. Hepatitis
type is determined by costly laboratory tests like HBsAg and Anti HCV.It is the beauty of this
article that we focused on application and techniques of statistics in biostatistics, Objective was
to estimate the risk of Hepatitis among provinces of Pakistan by application of logistic
regression model, checked the association of Hepatitis among provinces, and to associate the
quantity of injection the provinces of Pakistan by using only descriptive statistics results were
reported in the survey report of PMRC of 47043 surveyed participants available at their
website. We worked on secondary data. Results revealed that, out of 47043 patients, 7.5%
(3547) cases diagnosed as Hepatitis (B , C or Both) this prevalence was exactly match that was
reported in survey report of PMRC. Logistic regression analysis showed that, Hepatitis 1.36
times more in Sind and 1.65 times more in Punjab as compare to Baluchistan, however KPK
founded 0.412 times less affected with Hepatitis as compare to Baluchistan. It was found that,
Number of injections was also associated with the provinces, with p<0.01, in NWFP 10% (764)
patients found with more than ten injections. This study showed with the help of only
descriptive results, we can apply logistic regression to estimate the odds of outcome with the
help of single variable, can also estimate 95% confidence interval, and can see the significance
of results using chi square test of association, without holding the whole data set
Real Time Impact Factor:
Pending
Author Name: Syed Adnan Ali
URL: View PDF
Keywords: Hepatitis, Risk Estimation, Logistic Regression, Survey, PMRC, Karachi ,Pakistan
ISSN: 2412-303X
EISSN: 2412-303X
EOI/DOI: 00
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