Give states one shared, real-time disease surveillance feed into the national health center. Outbreak patterns that span state boundaries are detected and acted on far faster than when each state reports independently with delays.
Turn delayed, independent state reports into one live, cross-boundary surveillance picture.
01.
The External Data Oracles module pulls case data from each state's surveillance system, so the national picture reflects current reporting rather than a delayed batch.
02.
The Notifications module raises an alert when case clusters span state boundaries, so a multi-state outbreak is flagged before it is detected independently.
03.
The Audit Logs module seals each state's submitted data, so the surveillance record is tamper-evident and the reporting timeline is provable.
04.
States report against a common case format, so data from different systems aggregates cleanly instead of arriving in incompatible schemas.
05.
Surveillance operates on aggregated case counts rather than identifiable patient data, keeping the feed within health-privacy limits.
06.
The national center queries the live feed across all states, replacing the reconciliation of separate reports with one authoritative view.
Follow one case cluster from state reporting through cross-boundary detection to a coordinated national response.
08:00:14
[SYS] Ingesting case report from STATE_MH...
08:00:14
[CMD] reportCases { disease: "DENGUE", newCases: 47 }
08:00:15
[AUTH] Verifying state node signature...
08:00:15
[OK] Report anchored at block 10012140.
Cerulea decomposes disease surveillance into modular contracts. Each layer reports, detects, alerts, and audits so cross-boundary outbreaks surface from one shared feed.
Shared disease surveillance is a horizontal capability. Here is how different actors in public health put it to work.
Report notifiable cases into one shared feed and see neighboring activity, so a state acts on a regional picture instead of its own boundary-limited view.
Key Asset Types
Detect cross-boundary outbreaks from a live feed and coordinate a response on shared data, replacing the reconciliation of delayed independent reports.
Key Asset Types
Access aggregated, tamper-evident case data with a provable reporting timeline, improving epidemic models without handling identifiable patient information.
Key Asset Types
Whether you are bridging state surveillance systems or capturing reports from field health units, Cerulea routes both into one national feed.
For states on legacy surveillance platforms. Case reports are translated into signed on-chain entries on the shared feed through the API gateway.
State Surveillance System
Health Department Platform
Cerulea API Gateway
Report Hashing & Sealing
Cerulea Private Chain
Surveillance Feed Ledger
For field health units on a signed app. Case reports are submitted from the field directly to the shared feed alongside state system data.
Field Unit App
Health Worker Devices
Consortium Validators
Surveillance Consensus
Cerulea Ledger
Shared Case Feed
Building a cross-state surveillance feed with real-time ingestion, cluster detection, and a tamper-evident timeline from scratch requires specialised engineers and long inter-agency integration cycles. Calculate your exact deployment speed using Cerulea.
Traditional Deployment
Solidity Coding & Audits
~ 12 Months
Visual Compilation
WASM Logical Artifacts
~ 4 Weeks
The legacy timeline reflects public-health data integration benchmarks. Wiring each state's surveillance system, building cross-boundary cluster detection, and shipping a tamper-evident audit timeline for an average deployment takes a baseline of 8 months. Building the same architecture on Cerulea takes a baseline of 2 weeks, because Cerulea Studio visually translates your reporting and detection rules into pre-audited WebAssembly binaries and provisions the surveillance feed instantly.