- A pilot project conducted by the CDC’s Division of Health Informatics and Surveillance
- A new table-based approach for public health programs to share case information with CDC, each other, and the public.
- A sync protocol, a reference implementation, and a coordinating service
- A follow-up project to the earlier Case Surveillance Discover sprint that the CDC/USDS conducted to improve the National Notifiable Disease Surveillance System.
- Part of CDC’s Data Modernization Initiative that takes advantage of the infrastructure provided by modern cloud computing vendors.
- Tables instead of Messages - EpiSync transmits its information using tables instead of breaking up tables into messages. In addition to tables for the raw data, EpiSync provides context information such as data dictionaries.
- Publish and Subscribe - Instead of point-to-point transmission, EpiSync uses a publish and subscribe model.
- Consistent - EpiSync keeps the aggregate counts of publishers and subscribers in sync.
- Specific & Generalizable - EpiSync works very well for case data but is also general enough to support other data sets.
- Scalable - Support pandemic scale. From 1 to 1M data items per month.
- Sustainable - Standardized, open-source reference implementations, free tooling, and services.
- Secure - Support both public and private feeds.
Please read these details on policy, license, and disclaimer.
- For the curious, please look at
- EpiSync generic presentation (TBD)
- For demonstrators, please look at
- Cloning and running the demo instruction
- Sample demo stript demo.md
- For contributors, please read
- For project members, please read
- How we work (TBD)