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(1) Background: tuberculosis (TB) is considered one of the leading causes of death worldwide by a single infectious agent. This study aimed to identify hotspots of people diagnosed with tuberculosis and abusive use of alcohol, tobacco, and other drugs in communities through a geospatial intelligence application; (2) Methods: an ecological study with a spatio-temporal approach. We considered tuberculosis cases diagnosed and registered in the Notifiable Diseases Information System, which presented information on alcoholism, smoking, and drug abuse. Spatial Variations in Temporal Trends (SVTT) and scan statistics were applied for the identification of Hotspots; (3) Results: between the study period, about 29,499 cases of tuberculosis were reported. When we applied the SVTT for alcoholism, three Hotspots were detected, one of which was protective (RR: 0.08-CI95%: 0.02-0.32) and two at risk (RR: 1.42-CI95%: 1.11-1.73; RR: 1.39-CI95%: 1.28-1.50). Regarding smoking, two risk clusters were identified (RR: 1.15-CI95%: 1.01-1.30; RR: 1.68-CI95%: 1.54-1.83). For other drugs, a risk cluster was found (RR: 1.13-CI95%: 0.99-1.29) and two protections (RR: 0.70-CI95%: 0.63-0.77; RR: 0.76-CI95%: 0.65-0.89); (4) Conclusion: it was evidenced that in the communities being studied, there exists a problem of TB with drug addiction. The disordered use of these substances may harm a person's brain and behavior and lead to an inability to continue their treatment, putting the community at further risk for TB.

tropical medicine and infectious disease

Identifying Hotspots of People Diagnosed of Tuberculosis with Addiction to Alcohol, Tobacco, and Other Drugs through a Geospatial Intelligence Application in Communities from Southern Brazil