Author: Weituo Zhang
Title: Estimating the presymptomatic transmission of COVID19 using incubation period and serial interval data Document date: 2020_4_6
ID: nkhjona0_19
Snippet: Our findings should be interpreted with caution. The epidemic data of COVID19 patients that describing the time and tracing details is very limited. Therefore both estimations of the incubation period and the serial interval of COVID19 have considerable uncertainty. Important biases in our data source include the detection bias( i.e. cases with severe symptoms are more likely to be detected), and reporting bias( i.e. cases with clearly reported t.....
Document: Our findings should be interpreted with caution. The epidemic data of COVID19 patients that describing the time and tracing details is very limited. Therefore both estimations of the incubation period and the serial interval of COVID19 have considerable uncertainty. Important biases in our data source include the detection bias( i.e. cases with severe symptoms are more likely to be detected), and reporting bias( i.e. cases with clearly reported tracing details are more likely from areas with plenty of public health resources, and cannot represent the situation in those poorly controlled areas). All rights reserved. No reuse allowed without permission. the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
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