Longitudinal social contact data analysis : insights from 2 years of data collection in Belgium during the COVID-19 pandemic

Abstract: Background During the COVID-19 pandemic, the CoMix study, a longitudinal behavioral survey, was designed to monitor social contacts and public awareness in multiple countries, including Belgium. As a longitudinal survey, it is vulnerable to participants'"survey fatigue", which may impact inferences. Methods A negative binomial generalized additive model for location, scale, and shape (NBI GAMLSS) was adopted to estimate the number of contacts reported between age groups and to deal with under-reporting due to fatigue within the study. The dropout process was analyzed with first-order... Mehr ...

Verfasser: Loedy, Neilshan
Coletti, Pietro
Wambua, James
Hermans, Lisa
Willem, Lander
Jarvis, Christopher I.
Wong, Kerry L.M.
Edmunds, W. John
Robert, Alexis
Leclerc, Quentin J.
Gimma, Amy
Molenberghs, Geert
Beutels, Philippe
FAES, Christel
Hens, Niel
Dokumenttyp: Artikel
Erscheinungsdatum: 2023
Schlagwörter: Human medicine
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26600290
Datenquelle: BASE; Originalkatalog
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Link(s) : https://hdl.handle.net/10067/1984240151162165141