Selected article for: "estimate distribution and incubation period"
Author: Lauren Tindale; Michelle Coombe; Jessica E Stockdale; Emma Garlock; Wing Yin Venus Lau; Manu Saraswat; Yen-Hsiang Brian Lee; Louxin Zhang; Dongxuan Chen; Jacco Wallinga; Caroline Colijn
Title: Transmission interval estimates suggest pre-symptomatic spread of COVID-19
  • Document date: 2020_3_6
    • ID: 66ulqu11_66
    Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.03.03.20029983 doi: medRxiv preprint the outbreak, or censoring or truncation, into account. We find that the portion of negative samples is 0.67 for early cases and 0.73 for unstratified (overall incubation period) cases in Singapore, and 0.82 (early) and 0.87 (all) cases in Tianjin. Early cases have shorter estimated incubation periods so .....
    Document: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.03.03.20029983 doi: medRxiv preprint the outbreak, or censoring or truncation, into account. We find that the portion of negative samples is 0.67 for early cases and 0.73 for unstratified (overall incubation period) cases in Singapore, and 0.82 (early) and 0.87 (all) cases in Tianjin. Early cases have shorter estimated incubation periods so the fractions are lower. Late cases have higher portions (0.78, 0.98) but this is due to the long incubation estimate and fixed serial interval distribution; it may be influenced by censoring and truncation. Figure S2 illustrates the distributions.

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