Dengue Cases in Recife, Brazil (2013–2025): Clean and Geocoded Dataset

This dataset contains over 110,000 geolocated arboviral case notifications (including dengue, chikungunya, and Zika) from Recife, Brazil, covering the period 2013–2025.All records were harmonized across multiple surveillance schemas, cleaned, standardized, temporally normalized, and geocoded using address normalization, CEP harmonization, polygon intersection, and distance-based fallback methods. The dataset includes: Fully standardized English variable names following epidemiological conventions Consistent temporal variables with validated date formats (e.g., date_symptom_onset, date_notification) Verified spatial coordinates derived from IBGE street network data Dual spatial representations (street-level random point and centroid) for robustness Neighborhood-level geocoding provenance and spatial hierarchy identifiers Anonymized and LGPD-compliant records Clean and analysis-ready CSV and Parquet versions Complete data dictionary and processing pipeline documentation This dataset supports research in: Spatial epidemiology and disease diffusion analysis Geostatistics (e.g., Moran’s I, LISA, Getis–Ord statistics) Spatial regression models (SAR, SEM, CAR/BYM2, SPDE-INLA) Machine learning and spatiotemporal risk modeling Network-based and topological analysis of disease spread Public health surveillance and urban analytics Source data were originally obtained from SINAN (Brazil’s national disease notification system) and systematically processed, harmonized, and enriched by the author for scientific and public use.