Bluetooth Technology, the Best Ally to Detect COVID-19 Cases through Smartphone Contact Tracing

"Tracers have been and are essential to manage the pandemic. Today, the tracing is done by hand and this work is slow and inaccurate. However, as we have seen, technology can be highly useful: contact tracing with smartphones and smartclocks help find out who has been in contact with an infected person, thanks to the use of localization and communication technologies, such as GPS, cell phone networks, Wi-Fi and Bluetooth," explains Enrique Hernández Orallo, researcher at the Networking Research Group-DISCA of the Universitat Politècnica de València.

In their study, UPV researchers assessed the effectiveness of each one of these technologies. In order to do that, they designed an epidemiological mathematical model which allowed them to study its efficiency and impact--in terms of number of persons that must enter in self-quarantine from the results obtained. "Bluetooth is the most suitable technology because it allows tracers to detect contacts within a range of 2-3 meters. Those contacts are considered by epidemiological models as a contact capable of passing the infection. Therefore, it helps to reduce the number of false contacts, and also allows them to be more efficient when establishing which people must self-quarantine," explains Enrique Hernández Orallo.

"Extremely useful" in a possible new outbreak

Since the infection rate of COVID is extremely high, the contact tracing technology must be accurate and perform a quick search. However, in order to do it more effectively, a significant percentage of the population must install the contact tracing application on their smart devices.

"These strict requirements make contact tracing based on smartphones quite inefficient to contain the infection propagation during the first outbreak of the virus. However, in the case of a new outbreak of the pandemic, with a percentage of the population immune, or in combination with other less strict measures that reduce the spread of the virus (such as social distancing), contact tracing based on smartphones could be extremely useful, even if only a part of the population--less than 60%--would be willing to use it. In any case, Bluetooth will be the most suitable tool to do the tracing," concludes Enrique Hernández-Orallo.

E Hernández-Orallo, P Manzoni, CT Calafate, J Cano.
Evaluating How Smartphone Contact Tracing Technology Can Reduce the Spread of Infectious Diseases: The Case of COVID-19.
IEEE Access, vol. 8, pp. 99083-99097, 2020. doi: 10.1109/ACCESS.2020.2998042.

Most Popular Now

Unlocking the 10 Year Health Plan

The government's plan for the NHS is a huge document. Jane Stephenson, chief executive of SPARK TSL, argues the key to unlocking its digital ambitions is to consider what it...

Alcidion Grows Top Talent in the UK, wit…

Alcidion has today announced the addition of three new appointments to their UK-based team, with one internal promotion and two external recruits. Dr Paul Deffley has been announced as the...

AI can Find Cancer Pathologists Miss

Men assessed as healthy after a pathologist analyses their tissue sample may still have an early form of prostate cancer. Using AI, researchers at Uppsala University have been able to...

New Training Year Starts at Siemens Heal…

In September, 197 school graduates will start their vocational training or dual studies in Germany at Siemens Healthineers. 117 apprentices and 80 dual students will begin their careers at Siemens...

AI, Full Automation could Expand Artific…

Automated insulin delivery (AID) systems such as the UVA Health-developed artificial pancreas could help more type 1 diabetes patients if the devices become fully automated, according to a new review...

How AI could Speed the Development of RN…

Using artificial intelligence (AI), MIT researchers have come up with a new way to design nanoparticles that can more efficiently deliver RNA vaccines and other types of RNA therapies. After training...

MIT Researchers Use Generative AI to Des…

With help from artificial intelligence, MIT researchers have designed novel antibiotics that can combat two hard-to-treat infections: drug-resistant Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA). Using generative AI algorithms, the research...

AI Hybrid Strategy Improves Mammogram In…

A hybrid reading strategy for screening mammography, developed by Dutch researchers and deployed retrospectively to more than 40,000 exams, reduced radiologist workload by 38% without changing recall or cancer detection...

Are You Eligible for a Clinical Trial? C…

A new study in the academic journal Machine Learning: Health discovers that ChatGPT can accelerate patient screening for clinical trials, showing promise in reducing delays and improving trial success rates. Researchers...

Penn Developed AI Tools and Datasets Hel…

Doctors treating kidney disease have long depended on trial-and-error to find the best therapies for individual patients. Now, new artificial intelligence (AI) tools developed by researchers in the Perelman School...

Global Study Reveals How Patients View M…

How physicians feel about artificial intelligence (AI) in medicine has been studied many times. But what do patients think? A team led by researchers at the Technical University of Munich...

New AI Tool Addresses Accuracy and Fairn…

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms...