surge · EARS / Farrington
Is a symptom rising here?
Weekly counts in an area are compared with that area's own recent past, so a busy city is not mistaken for an outbreak.
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Anpheros Research · Global Health Signals
When thousands of people note their symptoms, patterns appear that no single record can show: a symptom rising in one area, a difference between countries, combinations that keep returning. Global Health Signals measures them for research, from people who chose to take part, and only ever as anonymous groups.
Status: research preview · Groups of at least 20 · Aggregates only
Fig. 0 · Synthetic region, weekly count of one symptom. Bars: people reporting it. Dashed line: the top of the expected range. The last three weeks exceed it.
01 · What it measures
Each signal answers one question with one statistical method. Every method has a version number, so a result can be reproduced and checked.
surge · EARS / Farrington
Weekly counts in an area are compared with that area's own recent past, so a busy city is not mistaken for an outbreak.
cluster · space-time permutation scan
Areas and weeks where reports bunch together more than chance allows, tested by shuffling places and dates thousands of times.
compare · age and sex standardised
Rates are compared after adjusting for age and sex, so a country with an older population does not simply look sicker.
sequence · cohort
Symptom combinations that are later followed by a recorded condition, counted only when at least 20 people share the path.
Many tests, one correction
q < 0.05 after Benjamini–Hochberg
Scanning many areas, weeks and symptoms makes chance findings likely. All tests of one kind are corrected together, and a signal is reported only when it survives the correction and its effect is large enough to matter.
02 · How people are protected
20
The smallest group we compute. Below 20 people, a number is not shown, published or handed to anyone.
03 · Limits
04 · Validation
Before any real data, each method ran on simulated populations with patterns we planted ourselves, and on populations with nothing planted at all.
Fig. 1 · Share of planted patterns found, synthetic populations
An early version raised false alarms in 42% of empty runs, because effect sizes were filtered before the correction for many tests. The order was reversed before anything shipped. Real reports are noisier than simulations; real results will be published with their own error rates.
05 · Access
For universities, public-health teams, drug-safety researchers and health-tech developers.
Researchers
Tell us about your study. Approved researchers sign a data-use agreement and receive aggregate data for their question. The first releases follow the privacy review now under way.
We read every request and answer by email, usually within a week.
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Everyone
Weekly counts by country, open to everyone, published only where a group reaches 20 people.
No country has enough participants for a weekly report yet. The first report will appear here as soon as one does.
Global Health Signals · research preview. It describes patterns in anonymous groups; it does not diagnose or recommend treatment.