Does syndromic surveillance assist public health practice in early detecting respiratory epidemics? Evidence from a wide Italian retrospective experience
High predictive power for anticipating COVID-19 epidemic waves, even two weeks ahead of the official reports, was obtained from electronic syndromic tracers of healthcare-seeking trends and Google search engine use. Following verification via a prospective approach, public health organizations are encouraged to take advantage of this free forecasting system to anticipate and effectively manage respiratory outbreaks.
Authors
- Giorgio Bagarella
- Danilo Cereda (ORCID: https://orcid.org/0000-0001-5945-5710)
- Mauro Maistrello
- Giovanni Corrao (ORCID: https://orcid.org/0000-0002-1034-8444)
- Andrea Stella Bonaugurio
- Andrea Gori (ORCID: https://orcid.org/0000-0001-6587-4794)
- Olivia Leoni (ORCID: https://orcid.org/0000-0002-6906-2424)
Institutions
- Luigi Sacco Hospital (IT)
- ASST Melegnano e della Martesana (IT)
- Centre for Multidisciplinary Research in Health Science (IT)
- Metropolitana Milanese (Italy) (IT)
- ASST Fatebenefratelli Sacco (IT)
- University of Milano-Bicocca (IT)
Publication Details
- Journal
- Journal of Infection and Public Health
- Published
- 2024-12-16
- DOI
- https://doi.org/10.1016/j.jiph.2024.102621
- Citations
- 2
- Primary Topic
- Data-Driven Disease Surveillance
- Type
- article
- Field-Weighted Citation Impact
- 0.77
Funders
- Regione Lombardia