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What shapes parental vaccination intentions? Are sociodemographic predictors enough to understand this phenomenon? @dondenacentre.bsky.social Read more in the full paper link.springer.com/article/10.1...
What do we need to do to achieve the full societal impact of complex systems science, network science, computational social science? Important points by @alexvespi.bsky.social @nunetsi.bsky.social
4mo
Jan 16, 2025
New preprint out: Interesting data on vaccination and other preventive behaviours across different EU countries. Social contact data for disease transmission as well as discussion matrices for opinion dynamics. IMMUNE study funded by the @european @dondenacentre.bsky.social
8mo
Population Health Metrics - Immunisation is one of the most cost-effective tools for preventing infectious diseases. Yet, vaccine hesitancy, defined as a delayed acceptance or refusal of...
link.springer.com
Beyond binary: a machine-learning classification of childhood COVID-19 vaccination intentions using behavioural data - Population Health Metrics
Latest out: A systematic review of COVID-19 epidemic models with endogenous human behaviour. What's next? Great collaboration with Elena D'Agnese, @alemelegaro.bsky.social , Vittoria Offeddu, Alberto d'Onofrio, Chris T. Bauch, and Piero Manfredi. arxiv.org/abs/2606.12465
16h
Ciro Cattuto
Alessia Melegaro
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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... 1/6
8mo
Infection control requires integrating behavioural dynamics into epidemic models. However, models often overlook behavioural complexity due to limited empirical data. We adopted an interdisciplinary a...
www.medrxiv.org
Advancing coupled behavioural-epidemic models: An interdisciplinary framework for the collection of empirical data