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

Author:

Ferretti Luca1ORCID,Wymant Chris1ORCID,Kendall Michelle1ORCID,Zhao Lele1ORCID,Nurtay Anel1ORCID,Abeler-Dörner Lucie1ORCID,Parker Michael2,Bonsall David13ORCID,Fraser Christophe14ORCID

Affiliation:

1. Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.

2. Wellcome Centre for Ethics and the Humanities and Ethox Centre, University of Oxford, Oxford, UK.

3. Oxford University NHS Trust, University of Oxford, Oxford, UK.

4. Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK.

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

Funder

Bill and Melinda Gates Foundation

Wellcome Trust Centre for Mitochondrial Research

Wellcome Centre for Ethics and Humanities

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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