Preprint Review Version 1 This version is not peer-reviewed

Trend Analysis of Tuberculosis Cases and the Effect of HIV Cases on Tuberculosis Cases in Some West African Countries Using Panel Poisson and Negative Binomial Regression Models

Version 1 : Received: 30 October 2019 / Approved: 31 October 2019 / Online: 31 October 2019 (04:33:45 CET)

How to cite: Adenomon, M.O.; Akinyemi, G.S. Trend Analysis of Tuberculosis Cases and the Effect of HIV Cases on Tuberculosis Cases in Some West African Countries Using Panel Poisson and Negative Binomial Regression Models. Preprints 2019, 2019100362 (doi: 10.20944/preprints201910.0362.v1). Adenomon, M.O.; Akinyemi, G.S. Trend Analysis of Tuberculosis Cases and the Effect of HIV Cases on Tuberculosis Cases in Some West African Countries Using Panel Poisson and Negative Binomial Regression Models. Preprints 2019, 2019100362 (doi: 10.20944/preprints201910.0362.v1).

Abstract

Tuberculosis 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 onl Tuberculosis case 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 analyzed the count data, the result revealed a positive trend in TB cases while increased in HIV cases leads to increase in TB cases 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 recommended that Government and NGOs need more strategies to fight against HIV menace in West Africa as this will in turn reduced TB cases in West Africa.

Subject Areas

tuberculosis (TB); human immunodeficiency virus (HIV); Acquired Immune Deficiency Syndrome (AIDS); World Health Organization (WHO); panel data; poisson; negative binomial; regression

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