Structured Dengue Data for São José dos Campos, Ouro Preto, and Resende (2014–2025)

This repository contains structured dengue epidemiological data for the Brazilian cities of São José dos Campos, Ouro Preto, and Resende, covering the period from 2014 to 2025. The data were collected from InfoDengue and SINAN (Sistema de Informação de Agravos de Notificação – Notifiable Diseases Information System) and processed according to structured data principles and data handling operations. As a result, four relations were generated: R1, R21, R22, and R23. The dataset is part of an ongoing academic investigation, with further details and analyses to be presented in future publications. It is intended to support epidemiological research, data analysis, and the development of predictive models for dengue surveillance and control. It is important to note that the dataset contains missing values in some attributes. Users are encouraged to apply pre-processing techniques, such as missing value imputation, normalization, or filtering, depending on the intended analysis. The attributes of each relation are organized as follows: Relation R1 epi_weeks: Epidemiological week (year + week). cases: Weekly number of notified cases. avg_temp: Weekly mean air temperature (°C). avg_humid: Weekly mean relative humidity (%). Relation R21 year: Reference year of notification. cases_autoc: Annual count of autochthonous cases. cases_clinical: Annual count of clinically confirmed cases. cases_laboratory: Annual count of laboratory-confirmed cases. Relation R22 year: Reference year of notification. hospitalization: Indicator of hospitalization (1 = Yes, 0 = No). quantity: Number of cases associated with hospitalization status. Relation R23 year: Reference year of notification. status: Indicator of case outcome (1 = Recovered, 0 = Deceased) quantity: Number of cases associated with the outcome. Notes and Updates Data for 2025 were collected up to epidemiological week 50. The dataset was corrected: all relevant variables are now stored as integer values, ensuring consistency with the original data source. A specific correction was applied to R23 for the city of Resende.