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Synthetic Dengue Patient Records Dataset
Patient Health Records & Digital Health
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£79.99
About
The Synthetic Dengue Patient Records Dataset is a large, anonymised synthetic dataset designed for research and educational purposes in epidemiology and infectious disease analysis. It captures demographic, serological test results, environmental factors, and clinical outcomes to support the study of dengue fever transmission, diagnosis, and patient outcomes.
Dataset Features
- Gender: Biological sex of the patient (Male/Female/Other).
- Age: Age of the patient (in years).
- NS1: Result of the NS1 antigen test (Positive/Negative).
- IgG: Result of the IgG antibody test (Positive/Negative).
- IgM: Result of the IgM antibody test (Positive/Negative).
- AreaType: Classification of the patient's residential area (e.g., Urban, Rural).
- HouseType: Type of housing where the patient resides (e.g., Apartment, Detached, Other).
- Outcome: Clinical outcome of the patient (e.g., Recovered, Severe, Deceased).
Distribution
Usage
This dataset can be used for:
- Epidemiological Research: Analyze patterns and risk factors for dengue infection and severity.
- Diagnostic Modeling: Develop and validate models predicting infection status based on serological test results and demographics.
- Public Health Analytics: Explore environmental and housing factors affecting disease spread and outcomes.
- Educational Use: Provide realistic data for training in infectious disease data analysis, biostatistics, and public health informatics.
Coverage
The data is fully anonymised and synthetically generated to protect privacy while preserving epidemiologically meaningful variability for academic, public health, and data science applications.
License
CC0 (Public Domain)
Who Can Use It
- Epidemiologists and Public Health Researchers: To study dengue transmission dynamics and risk factors.
- Data Scientists and Biostatisticians: For building predictive models and exploring serological test data.
- Healthcare Educators and Students: As a practical resource for training in infectious disease data analysis and modelling.
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