An EU Approach for Efficient Contact Tracing Apps to Support Gradual Lifting of Confinement Measures

European CommissionEU Members States, supported by the Commission, have developed an EU toolbox for the use of mobile applications for contact tracing and warning in response to the coronavirus pandemic. This is part of a common coordinated approach to support the gradual lifting of confinement measures, as set out in a Commission Recommendation last week.

Since the outbreak of the coronavirus pandemic, Member States, backed by the Commission, have been assessing the effectiveness, security, privacy, and data protection aspects of digital solutions to address the crisis. Contact tracing apps, if fully compliant with EU rules and well coordinated, can play a key role in all phases of crisis management, especially when time will be ripe to gradually lift social distancing measures. They can complement existing manual contact tracing and help interrupt the transmission chain of the virus.The toolbox is accompanied by guidance on data protection for such mobile apps, which is also published today.

Welcoming the toolbox, Commissioner for Internal Market Thierry Breton said: "Contact tracing apps to limit the spread of coronavirus can be useful, especially as part of Member States' exit strategies. However, strong privacy safeguards are a pre-requisite for the uptake of these apps, and therefore their usefulness. While we should be innovative and make the best use of technology in fighting the pandemic, we will not compromise on our values and privacy requirements."

Commissioner for Health and Food Safety, Stella Kyriakides added: "Digital tools will be crucial to protect our citizens as we gradually lift confinement measures. Mobile apps can warn us of infection risks and support health authorities with contact tracing, which is essential to break transmission chains. We need to be diligent, creative, and flexible in our approaches to opening up our societies again. We need to continue to flatten the curve - and keep it down. Without safe and compliant digital technologies, our approach will not be efficient."

A common approach for voluntary and privacy-compliant tracing apps

Today's announcement is the first iteration of a common EU toolbox, developed urgently and collaboratively by the e-Health Network with the support of the European Commission. It provides a practical guide for Member States in the implementation of contact tracing and warning apps. The toolbox sets out the essential requirements for these apps:
  • They should be fully compliant with the EU data protection and privacy rules, as put forward by the guidance presented today following consultation with the European Data Protection Board.
  • They should be implemented in close coordination with, and approved by, public health authorities.
  • They should be installed voluntarily, and dismantled as soon as no longer needed.
  • They should aim to exploit the latest privacy-enhancing technological solutions. Likely to be based on Bluetooth proximity technology, they do not enable tracking of people's locations.
  • They should be based on anonymised data: They can alert people who have been in proximity for a certain duration to an infected person to get tested or self-isolate, without revealing the identity of the people infected.
  • They should be interoperable across the EU so that citizens are protected even when they cross borders.
  • They should be anchored in accepted epidemiological guidance, and reflect best practice on cybersecurity, and accessibility.
  • They should be secure and effective.

While allowing for easier, quicker and more efficient tracing than traditional systems based on interviews with infected patients, manual tracing will continue to cover citizens who could be more vulnerable to infection but are less likely to have a smartphone, such as elderly or disabled persons.

A common approach to other functionalities, in particular on information and symptom tracking, may be developed in future iterations of the toolbox.

Next steps

The toolbox reflects the latest best practices in the use of mobile contact tracing and warning apps to tackling the crisis. It is part of an ongoing process where Member States work together to devise and refine in the coming weeks and months the use of this and other practical tools. This first version will be further enriched in light of the experiences of Member States.

Member States should report on their actions by 31 May 2020 and make the measures accessible to other Member States and the Commission for peer review. The Commission will assess the progress made and publish periodic reports starting in June 2020 and throughout the crisis, recommending action or the phasing out of measures that seem no longer necessary.

For further information, please visit:

Most Popular Now

Stepping Hill Hospital Announced as SPAR…

Stepping Hill Hospital, part of Stockport NHS Foundation Trust, has replaced its bedside units with state-of-the art devices running a full range of information, engagement, communications and productivity apps, to...

DMEA 2025: Digital Health Worldwide in B…

8 - 10 April 2025, Berlin, Germany. From the AI Act, to the potential of the European Health Data Space, to the power of patient data in Scandinavia - DMEA 2025...

Is AI in Medicine Playing Fair?

As artificial intelligence (AI) rapidly integrates into health care, a new study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may...

New System for the Early Detection of Au…

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The...

Generative AI's Diagnostic Capabili…

The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic. However, because the evaluation criteria were...

Diagnoses and Treatment Recommendations …

A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations...

AI Tool can Track Effectiveness of Multi…

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers. AI uses...

Surrey and Sussex Healthcare NHS Trust g…

Surrey and Sussex Healthcare NHS Trust has marked an important milestone in connecting busy radiologists across large parts of South East England, following the successful go live of Sectra's enterprise...

Dr Jason Broch Joins the Highland Market…

The Highland Marketing advisory board has welcomed a new member - Dr Jason Broch, a GP and director with a strong track record in the NHS and IT-enabled transformation. Dr Broch...

DMEA 2025 Ends with Record Attendance an…

8 - 10 April 2025, Berlin, Germany. DMEA 2025 came to a successful close with record attendance and an impressive program. 20,500 participants attended Europe's leading digital health event over the...

Multi-Resistance in Bacteria Predicted b…

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically...

AI-Driven Smart Devices to Transform Hea…

AI-powered, internet-connected medical devices have the potential to revolutionise healthcare by enabling early disease detection, real-time patient monitoring, and personalised treatments, a new study suggests. They are already saving lives...