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Food and Environmental Allergy Dataset
Public Health & Epidemiology
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Investigating Allergy Prevalence, Treatment Outcomes, and Patient Demographics
Dataset Description
This dataset provides a comprehensive analysis of childhood allergies, including prevalence, diagnosis, and treatment outcomes. It captures data on common allergies such as asthma, atopic dermatitis, allergic rhinitis, and food allergies, reported by healthcare providers. The dataset also includes demographic factors such as gender, race, and ethnicity, enabling researchers to identify trends and disparities in allergy prevalence and treatment.
By analyzing this dataset, we can gain insights into allergy patterns, potential risk factors, and the effectiveness of treatment strategies, ultimately contributing to better management and prevention strategies for childhood allergies.
Dataset Features
- BIRTH_YEAR – Year of birth of the patient.
- GENDER_FACTOR – Gender of the patient.
- RACE_FACTOR – Race of the patient.
- ETHNICITY_FACTOR – Ethnicity of the patient.
- PAYER_FACTOR – Insurance coverage of the patient.
- ATOPIC_MARCH_COHORT – Patient cohort classification.
- AGE_START_YEARS – Age of the patient at the start of the study.
- AGE_END_YEARS – Age of the patient at the end of the study.
- Various Allergy Start/End Columns – Status of different allergies at the start and end of the study (e.g., Shellfish, Milk, Soy, Egg, Wheat, Peanut, Tree Nut, etc.).
- ATOPIC_DERM_START/END – Atopic dermatitis status over time.
- ALLERGIC_RHINITIS_START/END – Allergic rhinitis status over time.
- ASTHMA_START/END – Asthma status over time.
- FIRST_ASTHMARX – First asthma medication prescribed.
- LAST_ASTHMARX – Last asthma medication prescribed.
- NUM_ASTHMARX – Number of asthma medications prescribed.
Dataset Distribution
- Data Volume: Contains multiple records of patient allergy data across various demographics.
- Format: CSV file (
food-allergy-analysis-Zenodo.csv). - Update Frequency: One-time dataset for research purposes.
Usage
This dataset is valuable for:
- Medical Research – Identifying trends in childhood allergies.
- Public Health Studies – Analyzing demographic disparities in allergy prevalence.
- Machine Learning Models – Developing predictive models for allergy risk assessment.
- Policy Development – Supporting healthcare policies for allergy prevention and management.
Coverage
- Geographic Coverage: Likely based on healthcare provider data (exact region unspecified).
- Time Range: Covers retrospective allergy diagnosis and treatment data.
- Demographics: Includes gender, race, ethnicity, and insurance status.
License
CC0 1.0 Universal (CC0 1.0) – Public Domain Dedication
This dataset is free to use, modify, and distribute without restriction.
This dataset is free to use, modify, and distribute without restriction.
Who Can Use This Dataset?
- Healthcare Professionals – To improve allergy treatment strategies.
- Data Scientists – For predictive analytics and trend analysis.
- Public Health Researchers – To study allergy prevalence and disparities.
- Policy Makers – For data-driven healthcare policy recommendations.
Acknowledgements
This dataset originates from [source]. If you use this dataset in your research, please credit the original authors.
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