Article: The impact of digital contact tracing on the SARS-CoV-2 pandemic-a comprehensive modelling study.
2021 Volume 10, Issue 1, Page(s) 37
Abstract: Contact tracing is one of several strategies employed in many countries to curb the spread of SARS-CoV-2. Digital contact tracing (DCT) uses tools such as cell-phone applications to improve tracing speed and reach. We model the impact of DCT on the ... ...
Abstract | Contact tracing is one of several strategies employed in many countries to curb the spread of SARS-CoV-2. Digital contact tracing (DCT) uses tools such as cell-phone applications to improve tracing speed and reach. We model the impact of DCT on the spread of the virus for a large epidemiological parameter space consistent with current literature on SARS-CoV-2. We also model DCT in combination with random testing (RT) and social distancing (SD). Modelling is done with two independently developed individual-based (stochastic) models that use the Monte Carlo technique, benchmarked against each other and against two types of deterministic models. For current best estimates of the number of asymptomatic SARS-CoV-2 carriers (approximately 40%), their contagiousness (similar to that of symptomatic carriers), the reproductive number before interventions ( |
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Language | English |
Publishing date | 2021-07-20 |
Publishing country | Germany |
Document type | Journal Article |
ZDB-ID | 2705691-0 |
ISSN | 2193-1127 |
ISSN | 2193-1127 |
DOI | 10.1140/epjds/s13688-021-00290-x |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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