The promise of efficacious vaccines against SARS-CoV-2 is fulfilled and vaccination campaigns have started worldwide.However, the fight against the pandemic is On-board Multi-User Detection Algorithm Based on Conditional Neural Process far from over.Here, we propose an age-structured compartmental model to study the interplay of disease transmission, vaccines rollout, and behavioural dynamics.
We investigate, via in-silico simulations, individual and societal behavioural changes, possibly induced by the start of the vaccination campaigns, and manifested as a relaxation in the adoption of non-pharmaceutical interventions.We explore different vaccination rollout speeds, prioritization strategies, vaccine efficacy, as well as multiple behavioural responses.We apply our model to six countries worldwide (Egypt, Peru, Serbia, Ukraine, copyright, and Italy), selected to sample diverse socio-demographic and socio-economic contexts.
To isolate the effects of age-structures and contacts patterns How Does the Consumers’ Attention Affect the Sale Volumes of New Energy Vehicles: Evidence From China’s Market from the particular pandemic history of each location, we first study the model considering the same hypothetical initial epidemic scenario in all countries.We then calibrate the model using real epidemiological and mobility data for the different countries.Our findings suggest that early relaxation of safe behaviours can jeopardize the benefits brought by the vaccine in the short term: a fast vaccine distribution and policies aimed at keeping high compliance of individual safe behaviours are key to mitigate disease resurgence.