Glossary
Revision as of 14:57, 19 May 2020 by Christophe.rosseel (talk | contribs)
Terminology
- mHealth: an abbreviation for mobile health, a term used for the practice of medicine and public health supported by mobile devices
- Encounter: having been at or below a distance from another person at the same time t during a period >= p
- Transmission tracing: mapping how the virus spreads; either through person-to-person transmission, or through environmental transmission
- Contact: an encounter that really resulted in close interaction between two or more people
- Cluster: concentration of people in a perimeter, or in a vehicle, either simultaneous or over time
- Point-of-Interest: a perimeter or building for which we want to monitor the visits
- Movements: movement of people between two points
- Path: a calculated route based on GPS measurements
- Visit: having been at a given point-of-interest, either in open sky or in a building
- Hotspot: Cluster with infections above a given threshold
- Exposure: Contact with a possibly infectious person, approximated through an encounter with an infectious subject
- Spreader: A subject who is the source or possible source of multiple infections. I.c. a person appearing in multiple Exposures and/or appearing in multiple Hotspots.
Expected outcomes
- Determine ‘encounters’, i.e. having been at or below a distance d from another person at the same time t during a period >= p.
- Based on: movements paths crossing each other
- Used for:
- Giving context to BLE ‘encounters’
- Determining who has had risk-full encounters
- Give context to encounters (open space, building, kind of activity, …)
- Determine ‘visits’, i.e. having been at a given point-of-interest, either in open sky or in a building.
- Based on:
- multiple location measurements in a perimeter/geofence
- interruption of location measurements at a given location (entrance to a building)
- Used for:
- identifying possible locations where environmental transmission occurs
- proxy for non-users in shops, kinder-garten, …
- Based on:
- Identifying clusters of people (either simultaneous or spread over time) over a given threshold of people per time lapse. These could evolve into Points-of-Interest.
- ‘Shop’
- ‘Provincial Domain’
- ‘Neighborhood party’
- Not: ‘Garden party’
- Identifying movements between Clusters.
- With diagnostic data added
- Identify exposures
- Identify hotspots
- Identify spreaders
- Aggregated
- A map of the spread of the infections
- With diagnostic data added
Constraints
- Personal data (ie data that are not strictly anonymous) can not leave the device, or a personal vault, without the consent of the user.
- Such consent should only be asked when there is a strong indication that the individual is infectious.
What is sufficient anonymisation of location data?
- place where home address can be suspected needs to be absent
- what about work place address?
- … (TBD) …
Definitions (see model)
- Transmission Tracing Types
- Encounters, Visits, Movements and Symptoms
- Human Contact Tracing (HCT)
- Primary Care relationship
- Testing, Isolation, Quarantining Organisation
- Epidemiologic surveillance
- Research
- Autonomous Contact Tracing (ACT)
- Solution
- The sum of processes and technologies (components, frameworks, hardware) that make up a …
- Scenario
- A combination of solutions
- System
- Set of applications, processes and conventions that fulfills a purpose. (example: Human Contact Tracing)
- Technology
- Building blocks for building applications. (eg DP3T, Apple/Google framework, …)
- Accuracy
- Dependability
- Speed
- Interoperability
- Privacy