The COVID-19 pandemic caused many governments to impose policies restricting social interactions. A controlled and persistent release of lockdown measures covers many potential strategies and is subject to extensive scenario analyses. Here, we use an individual-based model (STRIDE) to simulate interactions between 11 million inhabitants of Belgium at dif- ferent levels including extended household settings, i.e., “household bubbles”. The burden of COVID-19 is impacted by both the intensity and frequency of physical contacts, and therefore, household bubbles have the potential to reduce hospital admissions by 90%. In addition, we find that it is crucial to complete contact tracing 4 days after symptom onset. Assumptions on the susceptibility of children affect the impact of school reopening, though we find that business and leisure-related social mixing patterns have more impact on COVID-19 associated disease burden. An optimal deployment of the mitigation policies under study require timely compliance to physical distancing, testing and self-isolation.
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Data Science InstituteUHasselt
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Chicago
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Willem, L., Abrams, S., Libin, P. J. K., Coletti, P., Kuylen, E., Petrof, O., Møgelmose, S., Wambua, J., Herzog, S. A., Faes, C., Beutels, P., & Hens, N. (2021). The impact of contact tracing and household bubbles on deconfinement strategies for COVID-19. Nature Communications, 12(1), 9p. https://doi.org/10.1038/s41467-021-21747-7 (Original work published 2021)