SOCRATES-CoMix: a platform for timely and open-source contact mixing data during and in between COVID-19 surges and interventions in over 20 European countries
BMC Medicine, vol. 19, pp. 254
Abstract
BACKGROUND: SARS-CoV-2 dynamics are driven by human behaviour. Social contact data are of utmost importance in the context of transmission models of close-contact infections. METHODS: Using online representative panels of adults reporting on their own behaviour as well as parents reporting on the behaviour of one of their children, we collect contact mixing (CoMix) behaviour in various phases of the COVID-19 pandemic in over 20 European countries. We provide these timely, repeated observations using an online platform: SOCRATES-CoMix. In addition to providing cleaned datasets to researchers, the platform allows users to extract contact matrices that can be stratified by age, type of day, intensity of the contact and gender. These observations provide insights on the relative impact of recommended or imposed social distance measures on contacts and can inform mathematical models on epidemic spread. CONCLUSION: These data provide essential information for policymakers to balance non-pharmaceutical interventions, economic activity, mental health and wellbeing, during vaccine rollout.
Authors 17
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Affiliation as printed
Centre for Health Economics Research and Modelling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium
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Lisa Hermans corresponding
Affiliation as printed
Data Science Institute and I-BioStat, Hasselt University, Hasselt, Belgium. lisa.hermans@uhasselt.be
Data Science Institute and I-BioStat, Hasselt University, Hasselt, Belgium
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Affiliation as printed
Data Science Institute and I-BioStat, Hasselt University, Hasselt, Belgium
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London School of Hygiene & Tropical Medicine
Affiliation as printed
London School of Hygiene and Tropical Medicine, London, UK
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Affiliation as printed
Data Science Institute and I-BioStat, Hasselt University, Hasselt, Belgium
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National Institute for Public Health and the Environment
Affiliation as printed
Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
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London School of Hygiene & Tropical Medicine
Affiliation as printed
London School of Hygiene and Tropical Medicine, London, UK
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Affiliation as printed
Data Science Institute and I-BioStat, Hasselt University, Hasselt, Belgium
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London School of Hygiene & Tropical Medicine
Affiliation as printed
London School of Hygiene and Tropical Medicine, London, UK
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Affiliation as printed
Centre for Health Economics Research and Modelling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium
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National Institute for Public Health and the Environment
Affiliation as printed
Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
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Affiliation as printed
Data Science Institute and I-BioStat, Hasselt University, Hasselt, Belgium
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London School of Hygiene & Tropical Medicine
Affiliation as printed
London School of Hygiene and Tropical Medicine, London, UK
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Leiden University Medical Center · National Institute for Public Health and the Environment
Affiliation as printed
Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
Dept Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
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London School of Hygiene & Tropical Medicine
Affiliation as printed
London School of Hygiene and Tropical Medicine, London, UK
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University of Antwerp · UNSW Sydney
Affiliation as printed
Centre for Health Economics Research and Modelling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium
School of Public Health and Community Medicine, The University of New South Wales, Sydney, Australia
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University of Antwerp · Hasselt University
Affiliation as printed
Centre for Health Economics Research and Modelling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium
Data Science Institute and I-BioStat, Hasselt University, Hasselt, Belgium
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