Group-based trajectory modeling to describe the geographical distribution of tuberculosis notifications.

ABSTRACT:

Background

Tuberculosis (TB) is a major public health problem, and understanding the geographic distribution of the disease is critical in planning and evaluating intervention strategies. This manuscript illustrates the application of Group-Based Trajectory Modeling (GBTM), a statistical method that analyzes the evolution of an outcome over time to identify groups with similar trajectories. Specifically, we apply GBTM to identify the evolution of the number of TB notifications over time across various geographic locations, aiming to identify groups of locations with similar trajectories. Locations sharing the same trajectory may be considered geographic TB clusters, indicating areas with similar TB notifications. We used data abstracted from clinic records in Limpopo province, Sout

SUBMITTER: Dagnew AF 

PROVIDER: S-EPMC11866561 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature