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Bayesian inference and model selection for stochastic epidemics

Project description

Novel epidemiology statistics: lessons from COVID-19

The SARS-Cov-2 pandemic has highlighted the importance of prompt identification of virus outbreaks and optimal control strategies. The EU-funded BERNADETTE project is working on novel statistical methodology for the modelling of infectious diseases like COVID-19. This work is expected to help scientists understand various disease aspects and quantify the effect of non-pharmaceutical interventions. Moreover, it will address the socio-economic impact of different response strategies for human epidemics and support decision-making. The implementation of this model will improve public health policies and preparedness planning in Europe and the rest of the world.

Coordinator

ATHENS UNIVERSITY OF ECONOMICS AND BUSINESS - RESEARCH CENTER
Net EU contribution
€ 165 085,44
Address
Kefallinias Street 46
11251 Athens
Greece

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Region
Κεντρικός Τομέας Αθηνών Aττική Αττική
Activity type
Higher or Secondary Education Establishments
Non-EU contribution
€ 0,00