C. García-Martos, A. M. Alonso, E. Martínez, S. Monge, J. Sánchez de la Mata, M. J. Sierra, R. Rodríguez Fernández

RSV surveillance is essential because of its impact in young children and older adults. Since 2023/24, passive immunization with nirsevimab has been recommended for infants under 6 months at the start of the RSV season or born during it and for high-risk older children.
Weekly time series of severe RSV hospitalization incidence per 100000 inhabitants are analyzed from 2022/23 to 2025/26 in 5 Spanish Autonomous Communities, covering over 55% of the population. 8 age groups are considered, focusing on <1, 1-4 and >60 years.
We use Dynamic Factor Models to compare forecasting strategies: modelling all age groups within each region versus jointly modelling each age group across regions. Preliminary results show high synchrony across regions in <1-year incidence, with one common factor explaining over 99% of the variability, supporting joint multiregional forecasting. More accurate predictions may help in decision making about healthcare planning and resource management during RSV seasons.

Palabras clave: Forecasting, Multivariate Time Series, Dimensionality reduction, SDG, Respiratory infection

Programado

SI Statistics and the Sustainable Development Goals (SDGs): Methodological Approaches and Applications in Health, Climate Action, and Energy
3 de septiembre de 2026  09:00
Aula 30


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