Статья

Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing

Luca FerrettiBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UKChris WymantBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UKMichelle KendallBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UKLele ZhaoBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UKAnel NurtayBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UKLucie Abeler‐DörnerBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UKMichael ParkerWellcome Centre for Ethics and the Humanities and Ethox Centre, University of Oxford, Oxford, UKDavid BonsallBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UKChristophe FraserBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK

2020en

ABI

Аннотация

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

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Идентификаторы

DOI: 10.1126/science.abb6936

Цитирования и источники

Цитирований: 4Использованных источников: 0

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