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Public Health Monkeypox Predictive Data
Public Health & Epidemiology
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About
This synthetic dataset is designed for classification tasks, aiming to predict the presence of Monkeypox in patients. It is based on clinical features and novel presentations observed during the 2022 monkeypox outbreak in a central London centre. The initial cluster of cases was identified in the United Kingdom in May 2022, with the first case linked to travel from Nigeria. This dataset provides a valuable resource for understanding the disease's characteristics and for developing predictive models.
Columns
- Patient_ID: A unique identifier for each patient record.
- Systemic Illness: Describes the type of systemic illness, such as Fever, Swollen Lymph Nodes, or Other.
- Rectal Pain: A boolean indicator of whether the patient experienced rectal pain.
- Sore Throat: A boolean indicator of whether the patient experienced a sore throat.
- Penile Oedema: A boolean indicator of whether the patient experienced penile oedema.
- Oral Lesions: A boolean indicator of whether the patient presented with oral lesions.
- Solitary Lesion: A boolean indicator of whether the patient had a solitary lesion.
- Swollen Tonsils: A boolean indicator of whether the patient had swollen tonsils.
- HIV Infection: A boolean indicator of whether the patient had an HIV infection.
- Sexually Transmitted Infection: A boolean indicator of whether the patient had any sexually transmitted infection.
- MonkeyPox: The target variable, indicating whether the patient tested Positive or Negative for Monkeypox.
Distribution
The dataset is provided as a CSV file and contains 25,000 patient records. It is structured as a tabular dataset, comprising primarily boolean and categorical features. The file size is approximately 1.82 MB.
Usage
This dataset is ideal for:
- Developing machine learning models to predict Monkeypox infection.
- Conducting data analysis to identify key symptoms and risk factors associated with Monkeypox.
- Supporting public health research into the characteristics of the 2022 Monkeypox outbreak.
- Educational purposes in classification and predictive analytics.
Coverage
The data is synthetic, generated based on a study conducted in a central London centre during the 2022 monkeypox outbreak. The information reflects the clinical features observed during this specific timeframe and geographic location.
License
CC0: Public Domain
Who Can Use It
This dataset is suitable for data scientists, researchers in public health and medicine, and students engaged in machine learning or epidemiological studies. It can be used for building predictive analytics, understanding disease patterns, and supporting academic or scientific investigations into infectious diseases.
Dataset Name Suggestions
- Monkeypox Patient Symptom Dataset
- Synthetic Monkeypox Classification Data
- London 2022 Monkeypox Outbreak Patients
- Clinical Features of Monkeypox Dataset
- Public Health Monkeypox Predictive Data
Attributes
Original Data Source: Public Health Monkeypox Predictive Data
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