Author: Keisuke Ejima; Kwang Su Kim; Yusuke Ito; Shoya Iwanami; Hirofumi Ohashi; Yoshiki Koizumi; Koichi Watashi; Ana I Bento; Kazuyuki Aihara; Shingo Iwami
Title: Inferring Timing of Infection Using Within-host SARS-CoV-2 Infection Dynamics Model: Are ""Imported Cases"" Truly Imported? Document date: 2020_3_31
ID: gb9rkv9c_10
Snippet: The copyright holder for this preprint (which was not peer-reviewed) is . https://doi.org/10.1101/2020.03.30.20040519 doi: medRxiv preprint autochthonous (i.e., before or after arrival to the country). The advantage of using this method is 95 that computation is solely based on viral load data. Collecting viral load in early phase of outbreak 96 is ideal for the beginning of an outbreak. We suggest this method as a complementary test to the 97 ba.....
Document: The copyright holder for this preprint (which was not peer-reviewed) is . https://doi.org/10.1101/2020.03.30.20040519 doi: medRxiv preprint autochthonous (i.e., before or after arrival to the country). The advantage of using this method is 95 that computation is solely based on viral load data. Collecting viral load in early phase of outbreak 96 is ideal for the beginning of an outbreak. We suggest this method as a complementary test to the 97 basic clinical routine for the novel disease identification. Given that recall bias is an issue, our 98 method reliably assesses the timing of infection. This estimation will be further enhanced if 99 combined with the complementary information (e.g., travel and contact history and genetic 100 information) thus reducing uncertainty in our predictions. 101
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