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Reseach Article

The Impact of Socio-demographic Factors on the Prevalence of Hepatitis B in Sokoto, Nigeria: An Association Rule Mining Approach

by Rufai Ahmad, Fatimah Jumare, Mahmood Umar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 185 - Number 45
Year of Publication: 2023
Authors: Rufai Ahmad, Fatimah Jumare, Mahmood Umar
10.5120/ijca2023923264

Rufai Ahmad, Fatimah Jumare, Mahmood Umar . The Impact of Socio-demographic Factors on the Prevalence of Hepatitis B in Sokoto, Nigeria: An Association Rule Mining Approach. International Journal of Computer Applications. 185, 45 ( Nov 2023), 24-28. DOI=10.5120/ijca2023923264

@article{ 10.5120/ijca2023923264,
author = { Rufai Ahmad, Fatimah Jumare, Mahmood Umar },
title = { The Impact of Socio-demographic Factors on the Prevalence of Hepatitis B in Sokoto, Nigeria: An Association Rule Mining Approach },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2023 },
volume = { 185 },
number = { 45 },
month = { Nov },
year = { 2023 },
issn = { 0975-8887 },
pages = { 24-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume185/number45/32993-2023923264/ },
doi = { 10.5120/ijca2023923264 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:28:42.937284+05:30
%A Rufai Ahmad
%A Fatimah Jumare
%A Mahmood Umar
%T The Impact of Socio-demographic Factors on the Prevalence of Hepatitis B in Sokoto, Nigeria: An Association Rule Mining Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 185
%N 45
%P 24-28
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The hepatitis B virus (HBV) is a dangerous liver infection that results in hepatitis. Despite efforts to create awareness of the disease and the development of vaccines to prevent people from being infected, the prevalence of HBV in developing countries is still very high. This study aimed to apply apriori algorithm to investigate the relationship between socio-demographic factors and HBV status among patients visiting various hospitals within the metropolis of Sokoto state, Nigeria. Using data from 423 patients, we found that younger participants aged 26-35 have the highest positive cases. The rules generated from the apriori algorithm suggest low awareness of both HBV and the HBV vaccines. However, having some knowledge about HBV and the vaccine tends to be associated with negative HBV status. These findings have implications for healthcare bodies in that they could inform how to devise strategies for treatment and awareness campaigns to reduce the spread of the disease.

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Index Terms

Computer Science
Information Sciences

Keywords

HBV Prevalence Data Mining Association Rules