article · BMC Infectious Diseases

Parametric Bayesian modelling of tuberculosis mortality determinants and facility level heterogeneity effect using Gamma and Gaussian shared frailty techniques

Jacques L. Tamuzi
Modupe O. Ogunrombi
Motlatsi Rangoanana
Isaac Fwemba
Sara Adel Abbas
Mabatho Molete
Bonheur Dounebaine
Sele Maphalale
Veranyuy Ngah
Llang Maama
Retselisitsoe Ratikoane
Olawande Daramola
Peter S. Nyasulu

2026Open accessStellenbosch University

Abstract

The results from both Gamma and Gaussian demonstrate that heterogeneity affected significance of the determinants for TB mortality. The results showed that facility level was significantly likely to increase the risk of dying, indicating differences between catchment areas.

Research topics

Tuberculosis Research and Epidemiology
Statistical Methods and Bayesian Inference
Statistical Methods in Epidemiology

Sustainable Development Goals

3Good Health and Well-being

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

View on publisher site Record on OpenAlex

DOI: 10.1186/s12879-026-12843-4

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.

New to MARATTO™? Create a free account.