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dc.contributor.authorBradshaw, William J.
dc.contributor.authorAlley, Ethan C.
dc.contributor.authorHuggins, Jonathan H.
dc.contributor.authorLloyd, Alun L.
dc.contributor.authorEsvelt, Kevin Michael
dc.date.accessioned2021-02-01T19:59:58Z
dc.date.available2021-02-01T19:59:58Z
dc.date.issued2021-01
dc.date.submitted2020-10
dc.identifier.issn2041-1723
dc.identifier.urihttps://hdl.handle.net/1721.1/129614
dc.description.abstractContact tracing is critical to controlling COVID-19, but most protocols only “forward-trace” to notify people who were recently exposed. Using a stochastic branching-process model, we find that “bidirectional” tracing to identify infector individuals and their other infectees robustly improves outbreak control. In our model, bidirectional tracing more than doubles the reduction in effective reproduction number (Reff) achieved by forward-tracing alone, while dramatically increasing resilience to low case ascertainment and test sensitivity. The greatest gains are realised by expanding the manual tracing window from 2 to 6 days pre-symptom-onset or, alternatively, by implementing high-uptake smartphone-based exposure notification; however, to achieve the performance of the former approach, the latter requires nearly all smartphones to detect exposure events. With or without exposure notification, our results suggest that implementing bidirectional tracing could dramatically improve COVID-19 control.en_US
dc.language.isoen
dc.publisherSpringer Science and Business Media LLCen_US
dc.relation.isversionofhttp://dx.doi.org/10.1038/s41467-020-20325-7en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceNatureen_US
dc.titleBidirectional contact tracing could dramatically improve COVID-19 controlen_US
dc.typeArticleen_US
dc.identifier.citationBradshaw, William J. et al. "Bidirectional contact tracing could dramatically improve COVID-19 control." Nature Communications 12, 1 (January 2021): 232 © 2021 The Author(s)en_US
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratoryen_US
dc.relation.journalNature Communicationsen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2021-01-27T13:44:10Z
dspace.orderedauthorsBradshaw, WJ; Alley, EC; Huggins, JH; Lloyd, AL; Esvelt, KMen_US
dspace.date.submission2021-01-27T13:44:16Z
mit.journal.volume12en_US
mit.journal.issue1en_US
mit.licensePUBLISHER_CC
mit.metadata.statusComplete


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