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

Ferretti L., Wymant C., Kendall M., Zhao L., Nurtay A., Abeler-Dörner L., Parker M., Bonsall D., Fraser C.

The newly emergent human virus SARS-CoV-2 (severe acute respiratory syndrome-coronavirus 2) is resulting in high fatality rates and incapacitated health systems. Preventing further transmission is a priority. We analyzed key parameters of epidemic spread to estimate the contribution of different transmission routes and determine requirements for case isolation and contact tracing needed to stop the epidemic. Although SARS-CoV-2 is spreading too fast to be contained by manual contact tracing, it could be controlled if this process were faster, more efficient, and happened at scale. A contact-tracing app that builds a memory of proximity contacts and immediately notifies contacts of positive cases can achieve epidemic control if used by enough people. By targeting recommendations to only those at risk, epidemics could be contained without resorting to mass quarantines ("lockdowns") that are harmful to society. We discuss the ethical requirements for an intervention of this kind.

DOI

10.1126/science.abb6936

Type

Journal article

Publication Date

2020-05-01T00:00:00+00:00

Volume

368

Addresses

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

Keywords

Humans, Pneumonia, Viral, Coronavirus Infections, Contact Tracing, Probability, Infection Control, Quarantine, Algorithms, Models, Theoretical, Time Factors, China, Basic Reproduction Number, Asymptomatic Diseases, Epidemics, Pandemics, Mobile Applications, Betacoronavirus, Cell Phone, COVID-19, SARS-CoV-2

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