Difference between revisions of "Glossary"
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= Terminology = |
= Terminology = |
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+ | * mHealth: an abbreviation for mobile health, a term used for the practice of medicine and public health supported by mobile devices |
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− | * Encounter: having been at or below a distance d from another person at the same time t during a period >= p |
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+ | * Encounter: having been at or below a distance from another person at the same time t during a period >= p |
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+ | * Contact tracing: investigating how a carrier of the virus (the 'index case') got infected. |
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* Contact: an encounter that really resulted in close interaction between two or more people |
* Contact: an encounter that really resulted in close interaction between two or more people |
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* Cluster: concentration of people in a perimeter, or in a vehicle, either simultaneous or over time |
* Cluster: concentration of people in a perimeter, or in a vehicle, either simultaneous or over time |
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* Exposure: Contact with a possibly infectious person, approximated through an encounter with an infectious subject |
* Exposure: Contact with a possibly infectious person, approximated through an encounter with an infectious subject |
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* 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. |
* 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. |
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+ | * Transmission tracing: investigating how a carrier of the virus (the 'index case') got infected. This term more explicitly than 'contact tracing' encompasses other transmission routes beyond person-to-person transmission. |
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− | = Expected outcomes = |
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− | * Determine '''‘encounters’''', i.e. having been at or below a distance d from another person at the same time t during a period >= p. |
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− | ** Based on: movements paths crossing each other |
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− | ** Used for: |
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− | *** Giving context to BLE ‘encounters’ |
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− | *** Determining who has had risk-full encounters |
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− | * Give context to '''encounters''' (open space, building, kind of activity, …) |
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− | * Determine '''‘visits’''', i.e. having been at a given point-of-interest, either in open sky or in a building. |
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− | ** Based on: |
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− | *** multiple location measurements in a perimeter/geofence |
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− | *** interruption of location measurements at a given location (entrance to a building) |
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− | ** Used for: |
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− | *** identifying possible locations where environmental transmission occurs |
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− | *** proxy for non-users in shops, kinder-garten, … |
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− | * 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. |
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− | ** ‘Shop’ |
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− | ** ‘Provincial Domain’ |
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− | ** ‘Neighborhood party’ |
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− | ** Not: ‘Garden party’ |
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− | * Identifying '''movements''' between Clusters. |
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− | ** With diagnostic data added |
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− | *** Identify '''exposures''' |
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− | *** Identify '''hotspots''' |
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− | *** Identify '''spreaders''' |
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− | ** Aggregated |
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− | *** A map of the spread of the infections |
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− | = Constraints = |
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− | * Personal data (ie data that are not strictly anonymous) can not leave the device, or a personal vault, without the consent of the user. |
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− | * Such consent should only be asked when there is a strong indication that the individual is infectious. |
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− | What is sufficient anonymisation of location data? |
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− | * place where home address can be suspected needs to be absent |
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− | * what about work place address? |
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− | * … (TBD) … |
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− | = Definitions (see model) = |
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− | * Transmission Tracing Types |
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− | ** Encounters, Visits, Movements and Symptoms |
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− | * Human Contact Tracing (HCT) |
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− | * Primary Care relationship |
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− | * Testing, Isolation, Quarantining Organisation |
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− | * Epidemiologic surveillance |
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− | * Research |
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− | * Autonomous Contact Tracing (ACT) |
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− | * Solution |
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− | ** The sum of processes and technologies (components, frameworks, hardware) that make up a … |
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− | * Scenario |
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− | ** A combination of solutions |
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− | * System |
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− | ** Set of applications, processes and conventions that fulfills a purpose. (example: Human Contact Tracing) |
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− | * Technology |
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− | ** Building blocks for building applications. (eg DP3T, Apple/Google framework, …) |
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− | * Accuracy |
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− | * Dependability |
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− | * Speed |
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− | * Interoperability |
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− | * Privacy |
Latest revision as of 12:53, 20 May 2020
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
- Contact tracing: investigating how a carrier of the virus (the 'index case') got infected.
- 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.
- Transmission tracing: investigating how a carrier of the virus (the 'index case') got infected. This term more explicitly than 'contact tracing' encompasses other transmission routes beyond person-to-person transmission.