Author: Joel Hellewell; Sam Abbott; Amy Gimma; Nikos I Bosse; Christopher I Jarvis; Timothy W Russell; James D Munday; Adam J Kucharski; W John Edmunds; CMMID nCoV working group; Sebastian Funk; Rosalind M Eggo
Title: Feasibility of controlling 2019-nCoV outbreaks by isolation of cases and contacts Document date: 2020_2_11
ID: a8ig607t_27
Snippet: The probability that an outbreak is controlled gives a one-dimensional understanding of the difficulty involved in achieving control, because the model places no constraints on the number of cases and contacts that can be traced and isolated. In reality, the feasibility of contact tracing and isolation is likely to be determined both by the probability of achieving control, and the resources needed to trace and isolate infected cases 31 . We ther.....
Document: The probability that an outbreak is controlled gives a one-dimensional understanding of the difficulty involved in achieving control, because the model places no constraints on the number of cases and contacts that can be traced and isolated. In reality, the feasibility of contact tracing and isolation is likely to be determined both by the probability of achieving control, and the resources needed to trace and isolate infected cases 31 . We therefore reported the weekly maximum number of cases undergoing contact tracing and isolation for each scenario that results in outbreak control. Once the weekly number of cases reaches a . CC-BY-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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