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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Bibliografische gegevens
Hoofdauteurs: 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
Formaat: Artikel
Taal:English
Gepubliceerd in: BMC 2023-07-01
Reeks:BMC Public Health
Onderwerpen:
Bias assessment
Social contact data
COVID-19
SARS-CoV-2
Survey fatigue
Under-reporting
Online toegang:https://doi.org/10.1186/s12889-023-16193-7

Internet

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

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