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 ...
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Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2023 |
Reihe/Periodikum: | BMC Public Health, Vol 23, Iss 1, Pp 1-18 (2023) |
Verlag/Hrsg.: |
BMC
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Schlagwörter: | Bias assessment / Social contact data / COVID-19 / SARS-CoV-2 / Survey fatigue / Under-reporting / Public aspects of medicine / RA1-1270 |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-27003743 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://doi.org/10.1186/s12889-023-16193-7 |