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

Identifieur interne : 000344 ( Main/Exploration ); précédent : 000343; suivant : 000345

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

Auteurs : Luca Ferretti [Royaume-Uni] ; Chris Wymant [Royaume-Uni] ; Michelle Kendall [Royaume-Uni] ; Lele Zhao [Royaume-Uni] ; Anel Nurtay [Royaume-Uni] ; Lucie Abeler-Dörner [Royaume-Uni] ; Michael Parker [Royaume-Uni] ; David Bonsall [Royaume-Uni] ; Christophe Fraser [Royaume-Uni]

Source :

RBID : PMC:7164555

Abstract

The newly emergent human virus SARS-CoV-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. We conclude that viral spread is too fast to be contained by manual contact tracing, but could be controlled if this process was faster, more efficient and happened at scale. A contact-tracing App which 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 need for mass quarantines (‘lock-downs’) that are harmful to society. We discuss the ethical requirements for an intervention of this kind.


Url:
DOI: 10.1126/science.abb6936
PubMed: 32234805
PubMed Central: 7164555


Affiliations:


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Le document en format XML

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<p>The newly emergent human virus SARS-CoV-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. We conclude that viral spread is too fast to be contained by manual contact tracing, but could be controlled if this process was faster, more efficient and happened at scale. A contact-tracing App which 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 need for mass quarantines (‘lock-downs’) that are harmful to society. We discuss the ethical requirements for an intervention of this kind.</p>
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<biblStruct></biblStruct>
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</listBibl>
</div1>
</back>
</TEI>
<affiliations>
<list>
<country>
<li>Royaume-Uni</li>
</country>
<region>
<li>Angleterre</li>
<li>Oxfordshire</li>
</region>
<settlement>
<li>Oxford</li>
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<orgName>
<li>Université d'Oxford</li>
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<tree>
<country name="Royaume-Uni">
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</tree>
</affiliations>
</record>

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