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dc.contributor.authorKennedy-Shaffer, Lee
dc.contributor.authorBaym, Michael
dc.contributor.authorHanage, William
dc.date.accessioned2020-07-16T15:29:07Z
dc.date.issued2020
dc.identifier.citationKennedy-Shaffer, Lee, Michael Baym, and William Hanage. Perfect as the Enemy of the Good: Using Low-Sensitivity Tests to Mitigate SARS-CoV-2 Outbreaks (2020).en_US
dc.identifier.urihttps://nrs.harvard.edu/URN-3:HUL.INSTREPOS:37363184*
dc.description.abstractPreventing future infection waves of COVID-19 will depend on effective and efficient contact tracing. SARS-CoV-2 transmission appears to be characterized by high individual variation and a large role of superspreading events. Taking this into account can improve the cost-benefit tradeoffs of contact tracing. In particular, an individual who is known to have transmitted the infection once is more likely to have transmitted to other individuals. We propose a strategy of identifying transmission events, making use of the variability in secondary case numbers. A rapid, high-specificity test with only 50% sensitivity can still identify the vast majority of these transmission events. This strategy can lead to the isolation of a large proportion of infected individuals while drastically reducing the isolation of uninfected contacts.en_US
dc.language.isoen_USen_US
dash.licenseLAA
dc.titlePerfect as the Enemy of the Good: Using Low-Sensitivity Tests to Mitigate SARS-CoV-2 Outbreaksen_US
dc.typeJournal Articleen_US
dc.description.versionAuthor's Originalen_US
dash.depositing.authorHanage, William
dc.date.available2020-07-16T15:29:07Z
dash.affiliation.otherHarvard T.H. Chan School of Public Healthen_US
dash.contributor.affiliatedKennedy-Shaffer, Lee
dash.contributor.affiliatedBaym, Michael
dash.contributor.affiliatedHanage, William


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