Selected article for: "interval distribution and serial interval"

Author: Weituo Zhang
Title: Estimating the presymptomatic transmission of COVID19 using incubation period and serial interval data
  • Document date: 2020_4_6
  • ID: nkhjona0_11
    Snippet: We estimated the distribution of infection time and serial interval in Scenario 2 (as mentioned before) via two approaches as shown in Figure 4 . The fraction of presymptomatic transmissions was estimated 79.7% with our model and 67.5% with normal distribution assumption. The  parameter was estimated as 0.078, which implied that the COVID19 infected persons tended to become infectious shortly after infection. The average timing of presymptomat.....
    Document: We estimated the distribution of infection time and serial interval in Scenario 2 (as mentioned before) via two approaches as shown in Figure 4 . The fraction of presymptomatic transmissions was estimated 79.7% with our model and 67.5% with normal distribution assumption. The  parameter was estimated as 0.078, which implied that the COVID19 infected persons tended to become infectious shortly after infection. The average timing of presymptomatic transmission was estimated 3.8 days (SD = 6.1) before symptom onsets.

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