Abstract
ObjectivesThe 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 designEcological study. MethodsBrazilian 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. ResultsIn 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. ConclusionsThis 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.
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