Simulated dengue surveillance dataset

Description

A simulated dataset of 500 dengue notification records including demographic, geographic, clinical, and laboratory information.

Format

A data frame with 500 rows and 11 variables:

• NAME_GEO: Character. Name of the geographic area. May be missing.
• CODE_GEO: Integer. Numeric geographic code.
• LOCALCOD: Character. Local health unit code (e.g., “LOC-1”).
• DATE_BRTHD: Date. Patient’s date of birth.
• DATE_INI: Date. Date of symptom onset.
• SEXO: Character. Sex (“M”, “F”). May be missing.
• DENGUE_TYPE: Character. Dengue classification code (“1”, “2”, “3”). May be missing.
• HOSPITALISED: Character. Hospitalisation status (“S” = Yes, “N” = No). May be missing.
• RESULT_LABORATORY: Character. Laboratory result (“Positive”, “Negative”, “Pending”). May be missing.
• NOTES: Character. Epidemiological notes (e.g., “Imported case”). May be missing.
• SEROTYPE: Character. Dengue virus serotype (“1”–“4”). Frequently missing.

Details

The dataset was simulated for demonstration and testing purposes. Missing values were introduced to resemble real-world surveillance data. Generated using random sampling with set.seed(42). See data-raw/example_dataset.R for full reproducible code.

Source

Simulated data generated within the package.