A tick bite shouldn’t take years to explain
An estimated 31 million Americans are bitten by ticks each year. About 476,000 are treated for Lyme disease annually — yet only ~89,000 cases were reported to CDC in 2023. InvisibleSignal turns CDC surveillance data into local risk, screening, and care-navigation tools for Lyme and tickborne illness.
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- 31M
- tick bites per year (CDC)
- 476K
- Lyme diagnoses treated per year (CDC est.)
- ~89K
- cases reported to CDC in 2023
- 24 hrs
- to remove a tick and cut Lyme risk (CDC)
SENTINEL — The Lyme Toolkit
One path from tick bite to clinician visit. Everything the platform does falls into three steps.
- 1. Detect
Symptoms, exposure, geography
A screener that asks what a ten-minute appointment never has time to: exposure history, symptom duration, and the diagnoses you were given instead.
- County-resolution risk where CDC county-coded the cases
- Transparent 4-weight index: CDC incidence (0.30 + 0.30), seasonal (0.20), symptom overlap (0.20)
- Symptom overlap reported as overlap — never as a probability
- 2. Explain
Why this signal, and what is unknown
Every figure carries the federal dataset it came from and the limitation that travels with it. Where the data cannot support a claim, the platform says so instead of filling the gap.
- 47 findings from 14 published sources behind the design
- Texas shows 0% county-coded rather than a misleading zero
- 152,018 CDC cases reconciled exactly, none redistributed
- 3. Act
A report a clinician will actually read
Local CDC evidence for your county, your own verified lab values, and an export an EHR can ingest — framed as history for review, not as a verdict.
- HL7 FHIR R4 document bundle, SNOMED and ICD-10 coded
- Lab values verified against the text they were read from
- Red-flag symptoms route to emergency care before any model runs
Evidence. Provenance. Safety. Underneath all three steps: every figure carries its federal source, county rates carry their reporting-completeness caveat, and red-flag symptoms route to emergency care before any model is consulted.
Epidemiological Map
State-level Lyme incidence from CDC NNDSS — see your risk before tick season.
Bite & Symptom Screener
Tick exposure, season, and symptoms → a printable report to bring to your clinician.
SignalBot
Claude-powered health literacy on Lyme testing, co-infections, and next steps.
Provider Directory
Find Lyme-literate clinicians and telehealth options near you.
The same open-data and index-transparency pattern extends to overlapping invisible illnesses (Long COVID, ME/CFS, POTS, fibromyalgia, Alpha-gal) and cost-of-illness modeling — after Lyme is proven.
Powered by Federal Open Data
CDC Lyme surveillance, Census population estimates, and NIH funding data — every figure traceable to its federal source.
- CDC NNDSS
- U.S. Census Bureau
- NIH RePORTER
Technical Foundation
Deployed, transparent, and standards-compliant — built for clinicians and patients, not for engineers.
- Transparent risk indexFour published weights, no learned parameters
- Anthropic ClaudeHealth literacy & span-verified extraction
- HL7 FHIR R4Standardized clinical data export
Why This Matters
The Undercount
CDC estimates ~476,000 Americans are diagnosed and treated for Lyme each year — but only ~89,000 cases were reported through national surveillance in 2023. Alpha-gal Syndrome, driven by the lone star tick, is not nationally notifiable at all.
The Early Testing Gap
Two-tier Lyme testing (ELISA + Western Blot) has under 50% sensitivity in early disease, and up to 30% of patients never see the classic bull's-eye rash. Early recognition and fast tick removal — within 24 hours — change outcomes.
Concentrated but Spreading Risk
About 95% of reported Lyme cases come from the Northeast, mid-Atlantic, and upper Midwest — Maine's incidence is 51x the national average — while lone star tick territory keeps expanding across the South and Midwest.
From tick bite to clinic — with data on your side
Check your state’s Lyme risk, screen your symptoms after a bite, and bring a citeable report to your next appointment.