Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

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.

Original publication

DOI

10.1126/science.abb6936

Type

Journal article

Journal

Science

Publication Date

08/05/2020

Volume

368

Keywords

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