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A parametric model for estimating force of infection for hepatitis B-case study Komfo Anokye Teaching Hospital

A thesis submitted to the Department of Mathematics, Kwame Nkrumah University of Science and Technology, in partial fulfillment of the requirement for the degree of Msc. Applied Statistics

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Main Author: Opoku-Addo, Emmanuel Kwame
Format: Thesis
Language:en_US
Published: 2021
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access_status_str Open Access
author Opoku-Addo, Emmanuel Kwame
author_browse Opoku-Addo, Emmanuel Kwame
author_facet Opoku-Addo, Emmanuel Kwame
author_sort Opoku-Addo, Emmanuel Kwame
collection Thesis
description A thesis submitted to the Department of Mathematics, Kwame Nkrumah University of Science and Technology, in partial fulfillment of the requirement for the degree of Msc. Applied Statistics
format Thesis
id oai:ir.knust.edu.gh:123456789/13815
institution KNUST (Ghana)
language en_US
last_indexed 2026-06-10T12:31:23.640Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from KNUSTSpace — Kwame Nkrumah University of Science & Technology (Ghana)
publishDate 2021
publishDateRange 2021
publishDateSort 2021
record_format dspace
source_str KNUSTSpace — Kwame Nkrumah University of Science & Technology (Ghana)
spelling oai:ir.knust.edu.gh:123456789/13815 A parametric model for estimating force of infection for hepatitis B-case study Komfo Anokye Teaching Hospital Opoku-Addo, Emmanuel Kwame hepatitis B Infection KATH A thesis submitted to the Department of Mathematics, Kwame Nkrumah University of Science and Technology, in partial fulfillment of the requirement for the degree of Msc. Applied Statistics Serological data are increasingly being used in monitoring the transmission of infec tious deseases. The aim of this study is to estimate the age-dependent force infection for patients show ing symptoms of hepatitis B virus (HBV). A secondary data was obtained from the serology department at the Komfo Anokye Teaching Hospital (KATH,January 2013- June 2016). A total of 18,528 blood donors and people coming to the serology department to test for antigen in the blood voluntarily. Linear and quadratic age-dependent logits models was suitable for the mean preva lence of HBV, with a significant negative linear and positive quadratic effect respec tively. From the results, the prevalence increase from a lower age to age 40 decrease at a higher ages and the estimated force of infection (FOI) is higher at lower ages de creasing to age 26 and increases to age 52. In conclusion, the prevalence of HBV is higher at age 40 and the FOI is lower at 26 but higher at ages 2 and 52. KNUST 2021-05-25T16:01:49Z 2023-04-19T03:04:15Z 2021-05-25T16:01:49Z 2023-04-19T03:04:15Z October 20, 2019 Thesis https://ir.knust.edu.gh/handle/123456789/13815 en_US application/pdf
spellingShingle hepatitis B
Infection
KATH
Opoku-Addo, Emmanuel Kwame
A parametric model for estimating force of infection for hepatitis B-case study Komfo Anokye Teaching Hospital
title A parametric model for estimating force of infection for hepatitis B-case study Komfo Anokye Teaching Hospital
title_full A parametric model for estimating force of infection for hepatitis B-case study Komfo Anokye Teaching Hospital
title_fullStr A parametric model for estimating force of infection for hepatitis B-case study Komfo Anokye Teaching Hospital
title_full_unstemmed A parametric model for estimating force of infection for hepatitis B-case study Komfo Anokye Teaching Hospital
title_short A parametric model for estimating force of infection for hepatitis B-case study Komfo Anokye Teaching Hospital
title_sort parametric model for estimating force of infection for hepatitis b case study komfo anokye teaching hospital
topic hepatitis B
Infection
KATH
url https://ir.knust.edu.gh/handle/123456789/13815
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