Author: Weituo Zhang
Title: Estimating the presymptomatic transmission of COVID19 using incubation period and serial interval data Document date: 2020_4_6
ID: nkhjona0_17
Snippet: To our knowledge, our model combining incubation period and serial interval data is a novel approach to estimate the presymptomatic transmissions of infectious disease. The distinctive feature of this approach is that it naturally predict the occurrence of negative serial intervals. The high incidence (12.6%) of negative serial intervals in the observed data of COVID19 (much higher than other diseases like SARS, MERS, etc.) implies that our model.....
Document: To our knowledge, our model combining incubation period and serial interval data is a novel approach to estimate the presymptomatic transmissions of infectious disease. The distinctive feature of this approach is that it naturally predict the occurrence of negative serial intervals. The high incidence (12.6%) of negative serial intervals in the observed data of COVID19 (much higher than other diseases like SARS, MERS, etc.) implies that our model is particularly important to correctly understand the COVID19 transmission behavior.
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