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...

書誌詳細
主要な著者:	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
フォーマット:	論文
言語:	English
出版事項:	BMC 2023-07-01
シリーズ:	BMC Public Health
主題:	Bias assessment Social contact data COVID-19 SARS-CoV-2 Survey fatigue Under-reporting
オンライン･アクセス:	https://doi.org/10.1186/s12889-023-16193-7

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