Space-time clustering and temporal trend analysis of pulmonary tuberculosis in Brazil, 2010-2023.

ABSTRACT:

Background

Identifying high-risk areas for pulmonary tuberculosis (PTB) is essential for understanding the dynamics of disease transmission and for guiding more effective control strategies. Therefore, this study aimed to analyze the temporal trends and spatiotemporal distribution of PTB across Brazilian municipalities between 2010 and 2023.

Methods

This is an ecological study using data on PTB cases reported in Brazil's Notifiable Diseases Information System (SINAN) from 2010 to 2023. Time series analysis, global and local spatial autocorrelation, and space-time scan techniques were applied to identify temporal trends and spatial patterns of the disease at the municipal level.

Results

A total of 896,062 new PTB cases were analyzed. Notification peaked mainly in March

SUBMITTER: da Silva JMN 

PROVIDER: S-EPMC12782390 | biostudies-literature | 2026

REPOSITORIES: biostudies-literature