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Inferring age-specific differences in susceptibility to and infectiousness upon SARS-CoV-2 infection based on Belgian social contact data.
Franco, Nicolas; Coletti, Pietro; Willem, Lander; Angeli, Leonardo; Lajot, Adrien; Abrams, Steven; Beutels, Philippe; Faes, Christel; Hens, Niel.
  • Franco N; Data Science Institute, Interuniversity Institute of Biostatistics and statistical Bioinformatics (I-BioStat), UHasselt, Hasselt, Belgium.
  • Coletti P; Namur Institute for Complex Systems (naXys) and Department of Mathematics, University of Namur, Namur, Belgium.
  • Willem L; Data Science Institute, Interuniversity Institute of Biostatistics and statistical Bioinformatics (I-BioStat), UHasselt, Hasselt, Belgium.
  • Angeli L; Centre for Health Economic Research and Modelling Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute, University of Antwerp, Antwerp, Belgium.
  • Lajot A; Data Science Institute, Interuniversity Institute of Biostatistics and statistical Bioinformatics (I-BioStat), UHasselt, Hasselt, Belgium.
  • Abrams S; Department of Epidemiology and Public Health, Sciensano, Brussels, Belgium.
  • Beutels P; Data Science Institute, Interuniversity Institute of Biostatistics and statistical Bioinformatics (I-BioStat), UHasselt, Hasselt, Belgium.
  • Faes C; Global Health Institute (GHI), Family Medicine and Population Health, University of Antwerp, Antwerp, Belgium.
  • Hens N; Centre for Health Economic Research and Modelling Infectious Diseases (CHERMID), Vaccine & Infectious Disease Institute, University of Antwerp, Antwerp, Belgium.
PLoS Comput Biol ; 18(3): e1009965, 2022 03.
Article in English | MEDLINE | ID: covidwho-1770639
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Topics: Vaccines Limits: Adult / Aged / Child / Child, preschool / Humans Country/Region as subject: Europa Language: English Journal: PLoS Comput Biol Journal subject: Biology / Medical Informatics Year: 2022 Document Type: Article Affiliation country: Journal.pcbi.1009965

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study Topics: Vaccines Limits: Adult / Aged / Child / Child, preschool / Humans Country/Region as subject: Europa Language: English Journal: PLoS Comput Biol Journal subject: Biology / Medical Informatics Year: 2022 Document Type: Article Affiliation country: Journal.pcbi.1009965