Summary
Objectives:
The aim of this study was to analyse the spatial patterns and factors associated with the incidence of tuberculosis-diabetes (TB-DM) in Brazil, from 2001 to 2019.
Study design:
Ecological study.
Methods:
Brazilian municipalities were used as the units of analysis. The local empirical Bayesian rate and the spatial autocorrelation test were calculated. Moran and Getis-Ord Gi∗ were used to identify spatial clusters, and spatially weighted regression was conducted.
Results:
In total, 75,021 new cases of TB associated with DM were reported in Brazil during the study period. Most Brazilian municipalities had an average TB-DM incidence of 1.0-2.0/100,000 inhabitants. The regression showed that the Gini index (β = 0.85) and family health strategy coverage (β = -0.26) were the two indicators that had the most influence on TB-DM incidence in Brazil.
Conclusions:
This study identified spatial clusters of TB-DM in Brazil. The results also indicated that social inequalities played a key role in the incidence of TB.
Keywords:
Diabetes mellitus; Ecological study; Epidemiology; Spatial analysis; Tuberculosis.