ANALYSIS OF TUBERCULOSIS AND HIV CASES IN WEST AFRICA USING PANEL POISSON AND NEGATIVE BINOMIAL REGRESSION MODELS

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dc.contributor.authorSolomon, Gbenga Akinyemi
dc.date.accessioned2023-12-14T08:16:26Z
dc.date.available2023-12-14T08:16:26Z
dc.date.issued2019-12-11
dc.descriptionThesisen_US
dc.description.abstractTuberculosis is a leading cause of death worldwide and the leading cause from a single infectious agent, ranking above Human immunodeficiency virus (HIV) and Acquired Immune Deficiency Syndrome (AIDS). The aim of this study is to ascertain the trend of tuberculosis prevalence and the effect of HIV prevalence on Tuberculosis in some West African countries from 2000 to 2016 using count panel data regression models. The data used annual HIV and Tuberculosis cases spanning from 2000 to 2016 extracted from online publication of World health Organization (WHO). Panel Poisson regression model and Negative binomial regression model for fixed and random effects were used to analyze the count data, the result revealed a positive trend in TB cases as even increase in HIV cases also lead to increase in TB in West African countries. Among the competing models used in this study, Panel Negative Binomial Regression Model with fixed effect emerged the best model with log likelihood value of -1336.554. This study recommend that Government and NGOs need more strategies to fight against HIV menace in West Africa as this will in turn reduce TB cases in West Africa.en_US
dc.identifier.citationA DISSERTATION SUBMITTED TO THE SCHOOL OF POSTGRADUATE STUDIES, NASARAW STATE UNIVERSITY KEFFI, IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE AWARD OF DEGREE OF MSC IN STATISTICSen_US
dc.identifier.urihttps://keffi.nsuk.edu.ng/handle/20.500.14448/6276
dc.language.isoenen_US
dc.publisherDEPARTMENT OF STATISTICS FACULTY OF NATURAL AND APPLIED SCIENCE NASARWA STATE UNIVERSITY, KEFFIen_US
dc.titleANALYSIS OF TUBERCULOSIS AND HIV CASES IN WEST AFRICA USING PANEL POISSON AND NEGATIVE BINOMIAL REGRESSION MODELSen_US
dc.typeThesisen_US

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