Assessing territorial disparities in snakebite surveillance data in Brazil: Implications for public health

Background Snakebite envenoming (SBE) is a neglected tropical disease with high incidence and impact in rural and remote areas of Brazil. Although the country maintains a national reporting system (SINAN) for SBE, few studies have systematically evaluated the quality of these surveillance data, which are essential for informing public health planning and antivenom distribution strategies. Methodology This is a descriptive study analyzing all snakebite notifications recorded in SINAN between 2007 and 2023. Data quality was evaluated across three dimensions: completeness, internal consistency, and reliability. Sociodemographic, clinical, and treatment-related variables were assessed by region using standardized classifications. Inter-database agreement for fatal outcomes was analyzed between SINAN and the Mortality Information System (SIM) using the Intraclass Correlation Coefficient (ICC). Findings The results showed excellent completeness for core demographic variables such as sex and age, but poor or very poor completeness for education level, occupation, race/ethnicity, and clinical manifestations. Internal inconsistencies, although infrequent, were present across all regions. The overall ICC for fatal outcomes was 0.95, with regional variation. Antivenom use was frequently inconsistent with national treatment guidelines, particularly in cases involving Crotalus , Lachesis , and Micrurus genera. Conclusions and significance Despite the availability of a national notification system, snakebite surveillance in Brazil faces substantial limitations in data completeness and consistency, especially for clinical and treatment variables. These gaps are more pronounced in high-burden and remote regions, such as the Amazon, and may hinder equitable resource allocation and policy development. Strengthening notification practices, investing in training, and integrating clinical and epidemiological workflows are critical to improving the quality and utility of SBE data for public health action.