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- W3144920677 abstract "We discuss the measurement of aggregate levels of encounters in a population, a concept we callencounter metrics. Encounter metricsare designed so that they can be deployed while preserving the privacy of individuals. To this end, encounters are labeled with a randomnumber that cannot be linked to anything that is broadcast at the time of the encounter. Among the applications of encounter metrics isprivacy-preserving exposure notification, a system that allows people to obtain a measure of their risk due to past encounters withpeople who have self-reported to be positive with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-19), the cause ofcoronavirus disease 2019 (COVID-19). The precise engineering of a system for exposure notification should be targeted to particularenvironments. We outline a system for use in the context of a workplace such as the National Institute of Standards and Technology(NIST)." @default.
- W3144920677 created "2021-04-13" @default.
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- W3144920677 date "2021-03-28" @default.
- W3144920677 modified "2023-10-11" @default.
- W3144920677 title "Encounter Metrics and Exposure Notification" @default.
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- W3144920677 doi "https://doi.org/10.6028/jres.126.003" @default.
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