Science· 2020Q1
Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing
- 2,644citations
- Q1SCImago
- 2020year
Short summary
Digital contact tracing, assisted by a mobile phone application, could achieve SARS-CoV-2 epidemic control by isolating cases and tracing contacts instantaneously, even with imperfect data.
AI-generated from the title and abstract; the full text is not read.
Key points
- SARS-CoV-2 is more infectious and less virulent than SARS-CoV-1.
- Difficulty in tracing mild or presymptomatic infections increases SARS-CoV-2's epidemic potential.
- Instantaneous digital contact tracing via a mobile app is proposed as a tool for epidemic control.
- Understanding transmission routes is crucial for dividing resources among intervention strategies.
AI-generated from the title and abstract; the full text is not read.
Abstract
Instantaneous contact tracing New analyses indicate that severe acute respiratory syndrome–coronavirus 2 (SARS-CoV-2) is more infectious and less virulent than the earlier SARS-CoV-1, which emerged in China in 2002. Unfortunately, the current virus has greater epidemic potential because it is difficult to trace mild or presymptomatic infections. As no treatment is currently available, the only tools that we can currently deploy to stop the epidemic are contact tracing, social distancing, and quarantine, all of which are slow to implement. However imperfect the data, the current global emergency requires more timely interventions. Ferretti et al. explored the feasibility of protecting the population (that is, achieving transmission below the basic reproduction number) using isolation coupled with classical contact tracing by questionnaires versus algorithmic instantaneous contact tracing assisted by a mobile phone application. For prevention, the crucial information is understanding the relative contributions of different routes of transmission. A phone app could show how finite resources must be divided between different intervention strategies for the most effective control. Science , this issue p. eabb6936
The authors' abstract, as published at the source. Science, 2020 · DOI ↗
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Field: Information Systems
Information SystemsComputer Science