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Title: | Assessing the role of children in the COVID-19 pandemic in Belgium using perturbation analysis | Authors: | ANGELI, Leonardo Caetano, Constantino Pereira FRANCO, Nicolas COLETTI, Pietro FAES, Christel MOLENBERGHS, Geert Beutels, Philippe ABRAMS, Steven WILLEM, Lander HENS, Niel |
Issue Date: | 2025 | Publisher: | NATURE PORTFOLIO | Source: | Nature communications, 16 (1) (Art N° 2230) | Abstract: | Understanding the evolving role of different age groups in virus transmission is essential for effective pandemic management. We investigated SARS-CoV-2 transmission in Belgium from November 2020 to February 2022, focusing on age-specific patterns. Using a next generation matrix approach integrating social contact data and simulating population susceptibility evolution, we performed a longitudinal perturbation analysis of the effective reproduction number to unravel age-specific transmission dynamics. From November to December 2020, adults in the [18, 60) age group were the main transmission drivers, while children contributed marginally. This pattern shifted between January and March 2021, when in-person education resumed, and the Alpha variant emerged: children aged under 12 years old were crucial in transmission. Stringent social distancing measures in March 2021 helped diminish the noticeable contribution of the [18, 30) age group. By June 2021, as the Delta variant became the predominant strain, adults aged [18, 40) years emerged as main contributors to transmission, with a resurgence in children's contribution during September-October 2021. This study highlights the effectiveness of our methodology in identifying age-specific transmission patterns. | Notes: | Angeli, L (corresponding author), Hasselt Univ, Data Sci Inst, I Biostat, Hasselt, Belgium. leonardo.angeli@uhasselt.be |
Keywords: | Humans;Belgium;Child;Adult;Child, Preschool;Adolescent;Young Adult;Middle Aged;Age Factors;Pandemics;Infant;Male;Female;Basic Reproduction Number;COVID-19;SARS-CoV-2 | Document URI: | http://hdl.handle.net/1942/45775 | e-ISSN: | 2041-1723 | DOI: | 10.1038/s41467-025-57087-z | ISI #: | 001439689900023 | Rights: | The Author(s) 2025. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or otherthird party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. | Category: | A1 | Type: | Journal Contribution |
Appears in Collections: | Research publications |
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