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 ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2023 |
Verlag/Hrsg.: |
BMC
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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 |