Listening to bluetooth beacons for epidemic risk mitigation

Area of Science:

• Epidemiology
• Public Health Technology
• Digital Health

Background:

• Digital contact tracing for COVID-19 faced challenges including poor interoperability, low adoption, and privacy concerns.
• Existing systems primarily focused on device-to-device encounters, limiting their effectiveness.

Purpose of the Study:

• To develop a privacy-preserving and inclusive system for epidemic risk assessment and notification.
• To address the limitations of current digital contact tracing methods.

Main Methods:

• Introduced a novel system capturing user device encounters with strategically placed beacons.
• Utilized location and environmental data for enhanced risk assessment.
• Integrated the system with manual contact tracing protocols.

Main Results:

• Epidemiological simulations demonstrated increased accuracy in contact tracing actions.
• The system showed potential in reducing epidemic spread even at low adoption rates.
• Location-based beacon encounters proved effective in identifying potential infection clusters.

Conclusions:

• The proposed system offers a privacy-preserving alternative to traditional digital contact tracing.
• Integration with manual tracing and location data improves epidemic risk assessment and notification.
• This approach holds promise for more effective public health interventions during pandemics.