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

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 i...

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Bibliographische Detailangaben
Hauptverfasser: Neilshan Loedy, Pietro Coletti, James Wambua, Lisa Hermans, Lander Willem, Christopher I. Jarvis, Kerry L. M. Wong, W. John Edmunds, Alexis Robert, Quentin J. Leclerc, Amy Gimma, Geert Molenberghs, Philippe Beutels, Christel Faes, Niel Hens
Format: Artikel
Sprache:English
Veröffentlicht: BMC 2023-07-01
Schriftenreihe:BMC Public Health
Schlagworte:
Bias assessment
Social contact data
COVID-19
SARS-CoV-2
Survey fatigue
Under-reporting
Online Zugang:https://doi.org/10.1186/s12889-023-16193-7

Online

https://doi.org/10.1186/s12889-023-16193-7

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