About: Estimation of the incubation period of COVID-19 using viral load data

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Estimation of the incubation period of COVID-19 using viral load data
Creator	Nishiura, Hiroshi Ejima, Keisuke Bento, Ana Aihara, Kazuyuki Watashi, Koichi Kim, Kwang Iwami, Shingo Iwanami, Shoya Koizumi, Yoshiki Ohashi, Hirofumi Fujita, Yasuhisa Ludema, Christina
source	MedRxiv
abstract	The incubation period, or the time from infection to symptom onset of COVID-19 has been usually estimated using data collected through interviews with cases and their contacts. However, this estimation is influenced by uncertainty in recalling effort of exposure time. We propose a novel method that uses viral load data collected over time since hospitalization, hindcasting the timing of infection with a mathematical model for viral dynamics. As an example, we used the reported viral load data from multiple countries (Singapore, China, Germany, France, and Korea) and estimated the incubation period. The median, 2.5, and 97.5 percentiles of the incubation period were 5.23 days (95% CI: 5.17, 5.25), 3.29 days (3.25, 3.37), and 8.22 days (8.02, 8.46), respectively, which are comparable to the values estimated in previous studies. Using viral load to estimate the incubation period might be a useful approach especially when impractical to directly observe the infection event.
has issue date	2020-06-19(xsd:dateTime)
bibo:doi	10.1101/2020.06.16.20132985
has license	medrxiv
sha1sum (hex)	e6cec7b09ee31f1bd9c04d8f9a826d0cf5dfb93c
schema:url	https://doi.org/10.1101/2020.06.16.20132985
resource representing a document's title	Estimation of the incubation period of COVID-19 using viral load data
resource representing a document's body	covid:e6cec7b09ee31f1bd9c04d8f9a826d0cf5dfb93c#body_text
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