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

Researchers Invent AI Model to Design Ne…

Researchers at McMaster University and Stanford University have invented a new generative artificial intelligence (AI) model which can design billions of new antibiotic molecules that are inexpensive and easy to...

Alcidion and Novari Health Forge Strateg…

Alcidion Group Limited, a leading provider of FHIR-native patient flow solutions for healthcare, and Novari Health, a market leader in waitlist management and referral management technologies, have joined forces to...

Greater Manchester Reaches New Milestone…

Radiologists and radiographers at Northern Care Alliance NHS Foundation Trust have become the first in Greater Manchester to use the Sectra picture archiving and communication system (PACS) to report on...

Powerful New AI can Predict People'…

A powerful new tool in artificial intelligence is able to predict whether someone is willing to be vaccinated against COVID-19. The predictive system uses a small set of data from demographics...

ChatGPT can Produce Medical Record Notes…

The AI model ChatGPT can write administrative medical notes up to ten times faster than doctors without compromising quality. This is according to a new study conducted by researchers at...

Can Language Models Read the Genome? Thi…

The same class of artificial intelligence that made headlines coding software and passing the bar exam has learned to read a different kind of text - the genetic code. That code...

Advancing Drug Discovery with AI: Introd…

A transformative study published in Health Data Science, a Science Partner Journal, introduces a groundbreaking end-to-end deep learning framework, known as Knowledge-Empowered Drug Discovery (KEDD), aimed at revolutionizing the field...

Study Shows Human Medical Professionals …

When looking for medical information, people can use web search engines or large language models (LLMs) like ChatGPT-4 or Google Bard. However, these artificial intelligence (AI) tools have their limitations...

Wanted: Young Talents. DMEA Sparks Bring…

9 - 11 April 2024, Berlin, Germany. The digital health industry urgently needs skilled workers, which is why DMEA sparks focuses on careers, jobs and supporting young people. Against the backdrop of...

Bayer and Google Cloud to Accelerate Dev…

Bayer and Google Cloud announced a collaboration on the development of artificial intelligence (AI) solutions to support radiologists and ultimately better serve patients. As part of the collaboration, Bayer will...

Shared Digital NHS Prescribing Record co…

Implementing a single shared digital prescribing record across the NHS in England could avoid nearly 1 million drug errors every year, stopping up to 16,000 fewer patients from being harmed...

Ask Chat GPT about Your Radiation Oncolo…

Cancer patients about to undergo radiation oncology treatment have lots of questions. Could ChatGPT be the best way to get answers? A new Northwestern Medicine study tested a specially designed ChatGPT...