Author: Prasse, Bastian; Mieghem, Piet Van
Title: Mobile smartphone tracing can detect almost all SARS-CoV-2 infections Cord-id: kajh18u8 Document date: 2020_6_25
ID: kajh18u8
Snippet: Currently, many countries are considering the introduction of tracing software on mobile smartphones with the main purpose to inform and alarm the mobile app user. Here, we demonstrate that, in addition to alarming and informing, mobile tracing can detect nearly all individuals that are infected by SARS-CoV-2, including the notorious asymptomatic infections. Besides voluntary reports of the infectious health status, our algorithm requires the location information of an overwhelming part of the p
Document: Currently, many countries are considering the introduction of tracing software on mobile smartphones with the main purpose to inform and alarm the mobile app user. Here, we demonstrate that, in addition to alarming and informing, mobile tracing can detect nearly all individuals that are infected by SARS-CoV-2, including the notorious asymptomatic infections. Besides voluntary reports of the infectious health status, our algorithm requires the location information of an overwhelming part of the population and then guarantees that almost all SARS-CoV-2 infections in that closed population can be detected. Our algorithm is based on a hidden Markov epidemic model and recursive Bayesian filtering. The potential that mobile tracing apps, in addition to medical testing and quarantining, can eradicate COVID-19 may persuade citizens to trade-off privacy against public health.
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