Analysis of Longitudinal Teenage Pregnancy Data of Mpunkunyoni, Kwazulu-Natal using Generalised Linear Mixed Model

dc.contributor.authorLetsoalo, Marothi P.
dc.contributor.authorKifle, Yehenew Getachew
dc.contributor.authorLesaoana, Maseka
dc.contributor.authorFaes, Christel
dc.date.accessioned2025-08-13T20:14:55Z
dc.date.issued2021-11-15
dc.description.abstractTeenage pregnancy is an alarming concern in South Africa, as it potentially contributes to the life-threatening disease, HIV, in the young population. Communities in poor villages are hit hard by this problem. Statistics South Africa reported that the total yearly cases of teenage pregnancy has reduced. This work investigated this yearly reduction using 2011-2015 pregnancy census data of female teenagers at Mpunkunyoni, KwaZulu-Natal in South Africa. Apart from the census year effect, this paper accounted for the differences and similarities generated by female teenagers while correcting for the effects of their characteristics. The data were subjected to a generalized linear mixed model, and candidate parsimonious models were attained using the likelihood ratio test and a mixture of chi-squares while the model selection was carried out using the Akaike information criterion. There were no significant differences due to female teenagers while correcting for their age and census year effects. Although there was a tendency for teenage pregnancy risk to decrease over the years, this risk is higher for older teenagers.
dc.description.sponsorshipThis work was supported by a grant from the Institutional University Cooperation IUC-UL project under the umbrella of the Belgian Flemish Interuniversity Council (VLIR-UOS).
dc.description.urihttps://csa.ru.ac.bd/stat-ijss/wp-content/uploads/2023/08/v-21-iss-2-10.pdf
dc.format.extent14 pages
dc.genrejournal articles
dc.identifierdoi:10.13016/m2eeoz-zwhd
dc.identifier.citationLetsoalo, Marothi P, Yehenew G Kifle, Maseka Lesaoana, and Christel Faes. “Analysis of Longitudinal Teenage Pregnancy Data of Mpunkunyoni, Kwazulu-Natal Using Generalised Linear Mixed Model.” International Journal of Statistical Sciences 21, no. 2 (2023): 225–38.
dc.identifier.urihttp://hdl.handle.net/11603/39827
dc.language.isoen
dc.publisherUniversity of Rajshahi
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Mathematics and Statistics Department
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectVariance Components
dc.subjectCluster-Specific Prediction
dc.subjectTeenage Pregnancy
dc.subjectGeneralized Linear Model
dc.subjectGeneralized Linear Mixed Model
dc.titleAnalysis of Longitudinal Teenage Pregnancy Data of Mpunkunyoni, Kwazulu-Natal using Generalised Linear Mixed Model
dc.typeText
dcterms.creatorhttps://orcid.org/0000-0002-5583-6601

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