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For clinicians, researchers and funders

Closing the gaps in STI partner notification.

AfterCare is an anonymous exposure-notification app for sexually transmitted infections. We are building it in the open, and we want the people who treat and study these infections to review it, shape it, and tell us where we are wrong.

Gonorrhoea +248% 30,564 → 106,331
Syphilis +111% 21,585 → 45,577
Chlamydia +27% 168,239 → 213,443

Change in confirmed cases reported to ECDC, EU/EEA, 2015 → 2024. Source: ECDC Surveillance Atlas of Infectious Diseases.

01The problem

Bacterial STIs are at record levels across Europe.

ECDC reports that confirmed cases of gonorrhoea, syphilis and chlamydia have all risen over the last decade, and its report for 2023 describes the highest gonorrhoea notification rate recorded since European reporting began in 2009.

Partner notification is a standard part of STI care, but it depends on a patient being able to name and reach their partners. After an anonymous encounter that is often not possible. That gap is what AfterCare is built for. It is our motivation, not a finding, and Section 04 says where we most need it tested.

Figure 1Gonorrhoea has more than tripled since 2015; syphilis has doubled; chlamydia is up about a quarter.Confirmed cases, EU/EEA, indexed to 2015 = 100.
Confirmed STI cases in the EU/EEA, indexed to 2015 = 100By 2024, gonorrhoea is at 348, syphilis at 211 and chlamydia at 127.01002003004002015201820212024Chlamydia 127Syphilis 211Gonorrhoea 348
Figure 2Gonorrhoea and syphilis rose both among MSM and in the wider total.Confirmed cases by infection, EU/EEA, 2015–2024, in thousands; each panel has its own scale. Solid: all cases. Dashed: men who have sex with men (MSM), where the atlas reports them.

Gonorrhoea · 30,564 → 106,331

0k40k80k120k2015201820212024

Syphilis · 21,585 → 45,577

0k25k50k2015201820212024

Chlamydia · 168,239 → 213,443 · MSM series begins 2020

0k100k200k2015201820212024
Show the data as a table
Confirmed cases reported to ECDC, EU/EEA, 2015–2024
YearGonorrhoeaGonorrhoea (MSM)SyphilisSyphilis (MSM)ChlamydiaChlamydia (MSM)
201530,5647,89221,5858,393168,239—
201637,04610,18423,0329,209174,979—
201741,94412,32525,3799,640179,951—
201840,22413,45025,0789,637164,523—
201941,79214,27926,07510,054175,777—
202040,05114,56923,2909,501161,9697,226
202150,77717,81426,88210,257188,52112,705
202275,06525,58835,70713,901219,97815,067
202399,27032,30142,03315,310230,78815,922
2024106,33132,91845,57715,539213,44314,998

Limits of these data

  • Notifications, not incidence. Counts are confirmed cases reported by national authorities.
  • Testing and reporting move the numbers too. Reporting countries are ECDC's EU/EEA aggregate.
  • A signal of scale, not of effect. We read the trend as evidence the problem is large and growing, not as a measure of any intervention.
02Our approach

Notification without identification.

Two people who have been in close contact pair their halves of a card, by QR code or wristband. If either later tests positive, one tap tells the other, anonymously. No names, no accounts, no identifying information exchanged. The app is free, open source and built and hosted in Europe.

  1. KeepEach person holds one half of a card pair.
  2. ScanScanned in the app whenever they are ready.
  3. ConnectedThe halves match once both have scanned.
  4. NotifiedIf either tests positive, one tap tells the other. No identifying information is exchanged.
  5. TreatedEarlier care, only when advised by healthcare professionals.

AfterCare does not diagnose, advise on treatment, or replace clinical care. Status: in development. Code: app · backend. How we protect users: privacy policy.

03Measurement

Measuring outcomes without identifying anyone.

Proposed design · open to critique

We would measure behaviour after a notice, not confirmed-case counts. Counts rise with testing, so they cannot show whether notification works. Everything below is a proposal for you to challenge, not a method we have already validated.

What we would measure

  • Testing after a notice. The share of notified users who test, and the time from notice to test.
  • Treatment started. Where a clinic can report it, in aggregate.
  • Onward notification. Whether a notified user in turn notifies their own contacts.

How, with the least data

AfterCare has no accounts, so any measurement has to be opt-in, carry no identifier, and reveal nothing about one device that it does not reveal about all. Four techniques, each with its limit:

  • Opt-in, event-level only A device sends a single yes/no event, such as “tested within 14 days of a notice”, only after explicit consent, and nothing else. self-selection: people who opt in may differ from those who do not.
  • Local differential privacy Each device adds calibrated noise before sending, so no single report can be trusted, while the aggregate remains estimable. needs large samples; small countries or subgroups may fall below what is measurable at a privacy level we would accept.
  • Secure aggregation The server receives only the sum across devices, never an individual contribution. protects against our own server, not against a biased sample.
  • Clinic-side aggregate counts Partner clinics report counts of attendances that cite the app, with small cells suppressed, never linked to app data. depends on clinics asking the question consistently.

We have not named federated learning because it trains models, and we have no model to train. Federated analytics, which computes counts and histograms on the device, is the closer fit. Tell us if you disagree.

What we would need to settle first

  • A comparison. A staggered rollout by region or clinic, so some areas serve as the comparison. Outcomes registered before launch.
  • The privacy budget. The differential-privacy parameter (ε), set with a statistician and published.
  • Consent and policy. Opt-in measurement changes what we tell users. It needs ethics review and an updated privacy policy before any data is collected.
04Partner with us

Where we need people who know more than we do.

We are not a research institute, and we do not want to be judged as one. We publish only official figures, from ECDC and similar public health bodies, and no impact projections until clinicians have reviewed the assumptions behind them. We would like help with three things:

  • Clinical soundness. Is the notification flow and its wording sound, and safe for the person receiving a notice?
  • Defensible impact claims. What can be claimed, and is the measurement design above sound? Better notification drives testing, and testing finds cases, so confirmed counts may rise before they fall.
  • Country-specific pathways. Which testing and treatment routes should the app point to in each country?

Clinicians and clinics

Review the notification flow and wording, and advise on testing and treatment guidance.

Write to us as a clinician →

Researchers

Help design how impact can be measured. The code is open, and the data pipeline for the figures above is in the repository.

Write to us as a researcher →

Funders and institutions

Fund or co-sponsor the work. See how AfterCare is funded, and what we will never accept.

Write to us about funding →

contact@after-care.eu

05Evidence & sources

What we are relying on.

Every figure on this page comes from the first source below. The rest is the evidence we have read on partner notification and on the trend. If there is a study we should read, or one that contradicts us, please send it.