Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/37180
Title: Inferring age-specific differences in susceptibility to and infectiousness upon SARS-CoV-2 infection based on Belgian social contact data
Authors: FRANCO, Nicolas 
COLETTI, Pietro 
WILLEM, Lander 
ANGELI, Leonardo 
LAJOT, Adrien 
ABRAMS, Steven 
Beutels, Philippe
FAES, Christel 
HENS, Niel 
Editors: Struchiner, Claudio José
Issue Date: 2022
Publisher: 
Source: PLoS Computational Biology, 18 (3) (Art N° e1009965)
Abstract: Several important aspects related to SARS-CoV-2 transmission are not well known due to a lack of appropriate data. However, mathematical and computational tools can be used to extract part of this information from the available data, like some hidden age-related characteristics. In this paper, we present a method to investigate age-specific differences in transmission parameters related to susceptibility to and infectiousness upon contracting SARS-CoV-2 infection. More specifically, we use panel-based social contact data from diary-based surveys conducted in Belgium combined with the next generation principle to infer the relative incidence and we compare this to real-life incidence data. Comparing these two allows for the estimation of age-specific transmission parameters. Our analysis implies the susceptibility in children to be around half of the susceptibility in adults, and even lower for very young children (preschooler). However, the probability of adults and the elderly to contract the infection is decreasing throughout the vaccination campaign, thereby modifying the picture over time.
Document URI: http://hdl.handle.net/1942/37180
ISSN: 1553-734X
e-ISSN: 1553-7358
DOI: 10.1371/journal.pcbi.1009965
ISI #: 000778843100005
Datasets of the publication: https://github.com/nicolas-franco-unamur/Next-gen
Rights: 2022Francoet al. This is an openaccessarticledistributedunderthe termsof theCreativeCommonsAttributionLicense,
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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