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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Dettagli Bibliografici
Autori principali: 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
Natura: Articolo
Lingua:English
Pubblicazione: BMC 2023-07-01
Serie:BMC Public Health
Soggetti:
Bias assessment
Social contact data
COVID-19
SARS-CoV-2
Survey fatigue
Under-reporting
Accesso online:https://doi.org/10.1186/s12889-023-16193-7

Accesso online

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

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