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

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 auto-regr... Mehr ...

Verfasser: LOEDY, Neil
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
Verlag/Hrsg.: BMC
Schlagwörter: Bias assessment / Social contact data / COVID-19 / SARS-CoV-2 / Survey fatigue / Under-reporting
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26603007
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : http://hdl.handle.net/1942/40798