➡️A step toward connecting data, behavioural theory & epidemic models
Our framework helps build theory-informed model components that capture complex behaviours, making behavioural-epidemic simulations more realistic and policy-relevant
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Discussion contacts, capturing how people exchange opinions and information, closely mirror in-person contact patterns and appear to be small-scale projections of the broader social interactions that shape behaviour
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Across all countries, behaviour differ sharply by vaccination status. Unvaccinated respondents against COVID-19 feared the vaccine more, trusted national and public health authorities less, and showed lower vaccine confidence overall
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Existing behavioural data often lack the structure needed for realistic behavioural-epidemic models. We created a novel dataset from 22,228 survey responses across 6 European countries (Mar-Jul 2024) to capture how vaccination intent, uptake & delay evolve over time and context
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V Offeddu @lorenzolucchini.bsky.social @lauraleone.bsky.social @chiarenna.bsky.social @duiliobalsamo.bsky.social @elena-dagnese.bsky.social F Bonacina,M Cucciniello, F Trentini, A Aleta, P Manfredi @ymoreno.bsky.social @martonkarsai.bsky.social @vcolizza.bsky.social J Koltai @alemelegaro.bsky.social

We have just posted the first preprint from the IMMUNE Behavioural Study which integrates behavioural science, mathematical modelling, and epidemiology to advance data-driven approaches w/⬇️
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🚀 New preprint alert!

“Advancing coupled behavioural-epidemic models: An interdisciplinary framework for the collection of empirical data”

🔗 www.medrxiv.org/content/10.1...

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