ADRIOs
The ADRIO (Active Data Resource Interface Objects) system is a collection of classes that individually interface with a specific data resource. These classes extract relevant data, applying any necessary filtering and transformation in the process. This system is designed to support simulations through providing real captured data and transforming them into useable attributes. The most common and powerful use of ADRIOs is to automatically extract data relevant to an epymorph modeling experiment from a publicly-accessible data resources (databases) like the US Census, CDC and others; but we also provide ADRIOs to streamline import of user-provided data files. The set of public databases accessible via epymorph ADRIOs will grow over time; here are the data sources that are currently supported:
1. Commuter and Demographic Data
- LODES: Creates matrices given two locations of the same granularity, reporting the number of working commuters traveling from one as a home location and the other as a work location.
- Commuting Flows: Creates matrices displaying US Census ACS Commuting Flows files.
- ACS5: Accesses the US Census ACS 5-year data.
2. Disease and Health Data
- Respiratory: Creates matrices based on a weekly respiratory dataset from the CDC, including COVID-19, Influenza, and RSV data.
- Covid and Influenza: Creates matrices based on various CDC and HealthData datasets, including metrics on COVID-19 and Influenza. Additionally provides vaccination and mortality rate calls.
3. Climate and Environment Data
4. Data Extraction
5. Geographic and Spatial Data
- US TIGER: Loads data from the US Census TIGER geography files.