Exploring different modelling approaches to forecast the community acute respiratory infections burden in children: an Italian epidemiological time series study
These findings suggest that exponential smoothing models are preferable for forecasting pediatric ARIs' burden trends in Italy. However, epidemiological data from the ongoing season are crucial for understanding whether residual pandemic effects continue affecting respiratory infection patterns.
Authors
- Elisa Barbieri (ORCID: https://orcid.org/0000-0003-0850-8784)
- Daniele Donà (ORCID: https://orcid.org/0000-0001-7105-2105)
- Pietro Ferrara (ORCID: https://orcid.org/0000-0001-9449-3464)
- Carlo Giaquinto (ORCID: https://orcid.org/0000-0001-9365-0413)
- Anna Cantarutti (ORCID: https://orcid.org/0000-0002-3700-780X)
- Giovanni Corrao (ORCID: https://orcid.org/0000-0002-1034-8444)
- Costanza Di Chiara (ORCID: https://orcid.org/0000-0002-3586-0612)
- Riccardo Boracchini (ORCID: https://orcid.org/0009-0002-8339-9485)
- Pietro Giorgio Lovaglio (ORCID: https://orcid.org/0000-0002-2340-0547)
- Antonio Scamarcia (ORCID: https://orcid.org/0000-0001-9953-646X)
- Benedetta Canova (ORCID: https://orcid.org/0009-0000-2697-6018)
Institutions
- University of Padua (IT)
- Informatica Tecnologie e Servizi (Italy) (IT)
- IRCCS Istituto Auxologico Italiano (IT)
- Istituti di Ricovero e Cura a Carattere Scientifico (IT)
- University of Milano-Bicocca (IT)
Publication Details
- Journal
- BMC Public Health
- Published
- 2025-02-28
- DOI
- https://doi.org/10.1186/s12889-025-21984-1
- Citations
- 1
- Primary Topic
- COVID-19 epidemiological studies
- Type
- article
- Field-Weighted Citation Impact
- 1.37
Funders
- Ministero dell'Università e della Ricerca