Selected article for: "baseline scenario and generation interval"
Author: Tapiwa Ganyani; Cecile Kremer; Dongxuan Chen; Andrea Torneri; Christel Faes; Jacco Wallinga; Niel Hens
Title: Estimating the generation interval for COVID-19 based on symptom onset data
  • Document date: 2020_3_8
    • ID: cq6mivr9_48
    Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint As expected, the proportion of pre-symptomatic transmission increases from 48% (95%CI 32-67%) in the baseline scenario to 66% (95%CI 45-84%) when allowing for negative serial intervals, for the Singapore data, and from 62% (95%CI 50-76%) to 77% (95%CI 65-87%) for the Tianjin data. Hence, a substantial proportion of transmission appears to occur before symptom onset, which.....
    Document: is the (which was not peer-reviewed) The copyright holder for this preprint As expected, the proportion of pre-symptomatic transmission increases from 48% (95%CI 32-67%) in the baseline scenario to 66% (95%CI 45-84%) when allowing for negative serial intervals, for the Singapore data, and from 62% (95%CI 50-76%) to 77% (95%CI 65-87%) for the Tianjin data. Hence, a substantial proportion of transmission appears to occur before symptom onset, which is an important point to consider when planning intervention strategies. We also estimated R 0 , solely to illustrate the bias that occurs when using the serial interval as a proxy for the generation interval [7] . Whereas the impact was limited for our analyses, estimates based on the generation interval are larger and should be preferred to inform intervention policies. Indeed, as expected, the reproduction number was underestimated when using the serial interval distribution which is more variable than the generation interval distribution.

    Search related documents:
    Co phrase search for related documents
    • analysis limit and interval distribution: 1
    • analysis limit and reproduction number: 1, 2, 3, 4
    • analysis limit and serial interval: 1
    • baseline scenario and generation interval: 1, 2, 3, 4, 5
    • baseline scenario and generation interval distribution: 1
    • baseline scenario and interval distribution: 1, 2
    • baseline scenario and intervention policy: 1, 2
    • baseline scenario and intervention strategy: 1, 2
    • baseline scenario and reproduction number: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13
    • baseline scenario and serial interval: 1, 2, 3, 4
    • generation interval and interval distribution: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • generation interval and negative serial interval: 1, 2, 3, 4
    • generation interval and reproduction number: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • generation interval and serial interval: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • generation interval distribution and interval distribution: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • generation interval distribution and negative serial interval: 1, 2, 3, 4
    • generation interval distribution and reproduction number: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • generation interval distribution and serial interval: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • important point and reproduction number: 1, 2, 3