At Moai, [our research](https://arxiv.org/abs/2103.17096) explores COVID-19 transmission vectors to help us understand how we can best use non-pharmaceutical interventions (NPIs) to prevent disease propagation. Our researchers have designed a survey which aims to gain valuable insights from users of our contact tracing app about the environments they visit.
Scientists around the world have been working tirelessly to understand and reduce the spread of COVID-19. So what is an epidemiology model and how can it help us?
By now, we are used to making adjustments to help prevent the spread of COVID-19. But how does air flow come into the equation and how can we use information about the airflow in venues to mitigate risk?
The UK is the first country in the world to approve Pfizer’s mRNA vaccine against COVID-19. But how does it work, and how is it different from other vaccines that are being produced?
If other viruses are anything to go by, we may not be able to rely on a vaccine to eradicate COVID-19. But how likely is it that we won’t find a workable vaccine? And how else can we manage coronavirus?
Stats can show us the death rate in various countries around the world, but the discussion around the venues causing COVID-19 hotspots continues…
November saw something of a breakthrough in the fight against COVID-19. But are we likely to reach a point soon where the coronavirus is under control?
How are various countries tackling this balancing act? And what does it tell us about their culture and politics, and citizens’ tolerance for surveillance?
Research into COVID-19 is vital, but how can we carry it out without compromising individual privacy? Moai has the answer.
Restaurants rely on third party technology to collect customer data as part of track and trace schemes, but some apps are reportedly selling your confidential information.
Bluetooth is a common feature of the apps launched to track the spread of COVID-19 around the world. But it has several pitfalls...
Discover a smarter, more secure approach to contact tracing with innovative technology from Moai.
The COVID-19 pandemic has brought plenty of new language along with it. So what does ‘contact tracing’ mean, and how does it work?
As various approaches are proposed and tested for tracing the spread of the virus, how can we lower risks without demolishing privacy?
Attempts to halt the spread of coronavirus in the UK rest on the success of tracing infected people. But will the public trust the government’s app enough to make it effective?
Moai has been built to deliver a secure track and trace solution that keeps people safe without compromising on privacy.
Article 8 of the Human Rights Act enshrines your right to respect for private and family life. Does contact tracing, as part of tackling the spread of coronavirus, pose a threat to this right?
As contact tracing apps rely heavily on user-inputted data, how can we ensure the accuracy of the results… and stop the disease spreading?
As the hospitality industry tries to keep itself afloat during COVID-19, how can you make sure you’re complying with relevant regulations, and not risking getting into hot water?
We compare the approaches taken to trace and halt the spread of COVID-19 by different governments, with a particular focus on citizen privacy. Why are they broken, and how can we do better?
Data from GlobalWebIndex shows that fear of the government having access to personal information is greater than the fear of private business
Stopping the spread of COVID-19 may rely on gathering personal information, to trace contact with those infected. So how can your business do this and respect data protection regulations, and people’s privacy?
We believe we can provide the extension to Bluetooth contact-tracing that will fill the gaps, reliably warning people of their risk without revealing the source of the risk.
Today, we reached two significant milestones. The first one is not related to our contact-tracing service: human trial of a COVID-19 vaccine, led by Oxford, Bristol, London and Southampton universities, has started.
Over the last few weeks, we have been actively working on finding the best way of confirming infections.
Secretarium uses secure hardware to protect data even from someone with physical access to the machine. Data is encrypted and secure at all times; network transfer is encrypted; memory is encrypted; even CPU caches are encrypted.
Measuring distance is a challenge. Bluetooth signal is attenuated with distance, but there are hundreds of different devices, designs, and antennas. A device 5 meters away can have a stronger signal than another one just 2 meters away. To this, we see added complexity due to reverberation and interferences.
Watching the various efforts currently made by the community and carefully reviewing the advantages and pitfalls of each, we feel that we are now close to a comprehensive final proposal and expect to release our technical paper soon.
Our primary focus is to build a service compatible with Apple & Google design, and get it running. We are also adding functionalities to our service to support this alternative design.
Companies such as health and life insurance or mortgage dealers, in the absence of available science, may start relying on worst-case assumptions and start discriminating against infected people. The identities of infected people must remain private to avoid this risk.
We can help increase the impact by bridging authorities' data internationally, in the case of an infected user crossing a border. With the consent of the user, we can forward pseudonymised identifiers to all relevant authorities.
To prevent the spread of the COVID-19, we have explored Bluetooth-based contact-tracing techniques. Other solutions based on GPS, antenna towers or local wifi triangulation, are not precise or reliable enough.
We spent the last few weeks designing a neutral, auditable, and remotely verifiable service, to help public agencies accomplish this goal. When a user reports as infected, the encrypted service will securely reconcile data from all sources, and each source will be able to inform users via their app.