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http://hdl.handle.net/1942/40006
Title: | Cohort-based smoothing methods for age-specific contact rates | Authors: | VANDENDIJCK, Yannick GRESSANI, Oswaldo FAES, Christel Camarda, Carlo G. HENS, Niel |
Issue Date: | 2023 | Publisher: | OXFORD UNIV PRESS | Source: | BIOSTATISTICS, | Status: | Early view | Abstract: | The use of social contact rates is widespread in infectious disease modeling since it has been shown that they are key driving forces of important epidemiological parameters. Quantification of contact patterns is crucial to parameterize dynamic transmission models and to provide insights on the (basic) reproduction number. Information on social interactions can be obtained from population-based contact surveys, such as the European Commission project POLYMOD. Estimation of age-specific contact rates from these studies is often done using a piecewise constant approach or bivariate smoothing techniques. For the latter, typically, smoothness is introduced in the dimensions of the respondent's and contact's age (i.e., the rows and columns of the social contact matrix). We propose a smoothing constrained approach-taking into account the reciprocal nature of contacts-introducing smoothness over the diagonal (including all subdiagonals) of the social contact matrix. This modeling approach is justified assuming that when people age their contact behavior changes smoothly. We call this smoothing from a cohort perspective. Two approaches that allow for smoothing over social contact matrix diagonals are proposed, namely (i) reordering of the diagonal components of the contact matrix and (ii) reordering of the penalty matrix ensuring smoothness over the contact matrix diagonals. Parameter estimation is done in the likelihood framework by using constrained penalized iterative reweighted least squares. A simulation study underlines the benefits of cohort-based smoothing. Finally, the proposed methods are illustrated on the Belgian POLYMOD data of 2006. Code to reproduce the results of the article can be downloaded on this GitHub repository . | Notes: | Gressani, O (corresponding author), Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat I BioSta, Data Sci Inst, Hasselt, Belgium. oswaldo.gressani@uhasselt.be |
Keywords: | Constrained smoothing;Penalized iterative reweighted least squares;Penalized likelihood;Social contact matrix | Document URI: | http://hdl.handle.net/1942/40006 | ISSN: | 1465-4644 | e-ISSN: | 1468-4357 | DOI: | 10.1093/biostatistics/kxad005 | ISI #: | 000956176200001 | Rights: | The Author 2023. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. | Category: | A1 | Type: | Journal Contribution |
Appears in Collections: | Research publications |
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Cohort-based smoothing methods for age-specific contact rates.pdf Restricted Access | Early view | 1.09 MB | Adobe PDF | View/Open Request a copy |
CohortSmoothing_AuthorVer.pdf Until 2025-03-31 | Peer-reviewed author version | 1.1 MB | Adobe PDF | View/Open Request a copy |
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