Author: Luca Ferretti; Chris Wymant; Michelle Kendall; Lele Zhao; Anel Nurtay; David G Bonsall; Christophe Fraser
Title: Quantifying dynamics of SARS-CoV-2 transmission suggests that epidemic control and avoidance is feasible through instantaneous digital contact tracing Document date: 2020_3_12
ID: bc9retcq_8
Snippet: The copyright holder for this preprint (which was not peer-reviewed) is . https://doi.org/10.1101/2020.03.08.20032946 doi: medRxiv preprint functional forms, and compare to two previously published serial interval distributions in refs (22) and (12) . Uncertainty in the fit of the distribution is shown in Fig. S1 . Our distribution is robust with respect to the choice of transmission events (Fig. S2) . Correlation in the uncertainty between the i.....
Document: The copyright holder for this preprint (which was not peer-reviewed) is . https://doi.org/10.1101/2020.03.08.20032946 doi: medRxiv preprint functional forms, and compare to two previously published serial interval distributions in refs (22) and (12) . Uncertainty in the fit of the distribution is shown in Fig. S1 . Our distribution is robust with respect to the choice of transmission events (Fig. S2) . Correlation in the uncertainty between the inferred mean and standard deviation is shown in Fig. S3 . The distribution of serial intervals for these pairs is shown in Fig. S4 . The countries from which the transmission pair data was obtained are shown in Fig. S5 .
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