Enhancing epidemic preparedness: a data-driven system for managing respiratory infections
The prototype EWS represents a scalable and integrative framework aimed at enhancing public health applications, particularly in the context of respiratory infections. By incorporating data from diverse health sectors, the system offers decision-makers access to critical epidemiological indicators, supporting early outbreak detection and improved epidemic management. Its potential to unify health institutions underscores its value in fostering a more cohesive and effective approach to epidemic preparedness. Nevertheless, while the system demonstrates significant promise, further evaluation in real-world settings is essential to determine its practical impact on public health outcomes and its ability to mitigate health crises.
Authors
- Katayoun Jahangiri (ORCID: https://orcid.org/0000-0003-2061-1418)
- Mohammad Reza Honarvar (ORCID: https://orcid.org/0000-0002-9302-3791)
- Moslem Sarani (ORCID: https://orcid.org/0000-0002-2953-4503)
- Manoochehr Karami (ORCID: https://orcid.org/0000-0002-9026-3757)
Institutions
- Golestan University (IR)
- Golestan University of Medical Sciences (IR)
- Shahid Beheshti University of Medical Sciences (IR)
Publication Details
- Journal
- BMC Infectious Diseases
- Published
- 2025-02-03
- DOI
- https://doi.org/10.1186/s12879-025-10528-y
- Citations
- 1
- Primary Topic
- Data-Driven Disease Surveillance
- Type
- article
- Field-Weighted Citation Impact
- 1.35
Funders
- Shahid Beheshti University of Medical Sciences
- Golestan University of Medical Sciences