We propose an age-structured mathematical model for respiratory syncytial virus in which children aged <1 year are especially considered. Real data on hospitalized children in the Spanish region of Valencia were used in order to determine some seasonal parameters of the model. Weekly predictions of the number of children aged <1 year that will be hospitalized in the following years in Valencia are presented using this model. Results are applied to estimate the regional cost of paediatric hospitalizations and to perform a cost-effectiveness analysis of possible vaccination strategies.

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Innovative teaching methodologies begat blended learning, which seems to facilitate engineering students’ achievement of competencies required for the 21st century and has proven to be essential to keep quality standards as university education has suffered the COVID-19 pandemic. In this paper, we approach the use of b-learning and digital technologies before the pandemic started, and how it worked like a vaccine, enabling university education resilience and facilitating the sustainability of the students learning process. A questionnaire-based study is presented, in which the data came from Aerospace Engineering students following a Mathematics subject in a Technological University in Spain. ANOVA and ANCOVA analysis provided a significant difference in the appreciation of the adaptation based on the prior application of b-learning methodologies or more traditional methodologies. Results obtained indicated that the use of digital resources and educational platforms caused a noticeable change in the students’ way of learning, improving habits and digital skills.

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