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Anomaly Detection

Data Dashboards (1)

Signals — anomaly detection Updated: 2 Oct 2026, 15:46 UTC

Automated screening of 1,200+ notified infectious disease time series (diagnosis × region, ÚZIS ISIN) for exceedances of the expected level using the Farrington/Noufaily method.

anomaly detectionsurveillanceearly warningÚZISstatistics

News & Highlights (1)

A new data layer and the Signals page 3 Sept 2026

Data pipeline v0.2.0 brings incidence per 100,000 population, a regional map, fresh Ebola data — and automated anomaly detection across 1,200 notified disease series.

newsanomaly detectionrelease

Processing of personal data

What we collect

Web server access log — IP address, time, page address, browser type and referring page. Deleted after 14 days.

Visit counts by organisation — the IP address is resolved to an organisation (for example “Charles University”) and discarded. Only counts are kept. They are not personal data.

Which pages are read — our own analytics running on our server, with no cookies and no device identifier. The data does not go to third parties.

On your device we store a single item, and only so that this notice does not appear on every visit. It is not an identifier and it goes nowhere.

Your rights

You have the right of access to your data, to rectification or erasure, to restriction of processing, to object, and to lodge a complaint with the Czech Data Protection Authority.

⚠️ In practice: we cannot find you in the access log unless you tell us the IP address and roughly when you visited — we keep nothing else to search on.

The controller is the Institute of Molecular Genetics of the Czech Academy of Sciences. Contact: hpaces@img.cas.cz